Systems and methods for providing targeted advertising

Information

  • Patent Grant
  • 10482475
  • Patent Number
    10,482,475
  • Date Filed
    Thursday, February 10, 2011
    14 years ago
  • Date Issued
    Tuesday, November 19, 2019
    5 years ago
  • CPC
  • Field of Search
    • US
    • 705 014000
  • International Classifications
    • G06Q30/02
    • Term Extension
      392
Abstract
An advertising provider may be obligated to ensure that its advertising directs users to the correct business entity (e.g., dealer or franchise). The advertising provider may maintain a datastructure comprising a plurality of “areas of responsibility” (AOR), each of which may be assigned to a respective dealer. When generating advertising content to be provided to a user, the advertising provider may access location-identifying information about the user. The location-identifying information may comprise a zip code, street address, or the like, which is sufficiently specific to allow the advertising provider to identify an AOR in the AOR datastructure. Accordingly, generalized location information, such as city, state, and/or country may not be sufficient. The location-identifying information may be used to identify the dealer that is assigned to the user. The advertising provider may access dealer-specific information, which may be used to generate dealer-targeted advertising for the user.
Description
TECHNICAL FIELD

This disclosure relates to providing targeted advertising and, in particular, to providing location-aware targeted advertising that conforms to a predefined area of responsibility.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1A depicts an exemplary business organization;



FIG. 1B is a graphical depiction of an area of responsibility datastructure;



FIG. 2 depicts a system comprising an advertising provider configured to provide targeted advertising; and



FIG. 3 is a flow diagram of one embodiment of a method for providing targeted advertising.





In the following description, numerous specific details are provided for a thorough understanding of the various embodiments disclosed herein. However, those skilled in the art will recognize that the systems and methods disclosed herein can be practiced without one or more of the specific details, or with other methods, components, materials, etc. In addition, in some cases, well-known structures, materials, or operations may not be shown or described in detail in order to avoid obscuring aspects of the disclosure. Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more alternative embodiments.


DETAILED DESCRIPTION

Network-accessible services, such as websites, network-enabled applications, and the like, have become important marketing tools and/or sales fronts for a wide variety of products and/or services. As used herein, a “network-accessible service” refers to any service that is capable of and/or configured to interact with users via a communication network. A network-accessible service may be configured to provide and/or receive content from users via the communication network. The content may include, but is not limited to: text, images, video, multi-media, executable code, markup (e.g., Hypertext Markup Language (HTML)), interface components, executable and/or interpretable script, and the like. Accordingly, a network-accessible service may comprise one or more computing devices, datastores (e.g., databases, non-transitory computer-readable storage media, directories, and the like), communication interfaces, and other hardware and/or software components.


Users may access a network-accessible service using a computing device, such as a personal computer, a Personal Digital Assistant (PDA), a kiosk, a cellular phone, a handheld computer, a notebook computer, a netbook, a tablet computer, or the like. User access may be provided via any communication mechanisms known in the art including, but not limited to: a Transmission Control Protocol/Internet Protocol (TCP/IP) network (e.g., the Internet), a Local Area Network (LAN), a Wide Area Network (WAN), a Virtual Private Network (VPN), a Public Switched Telephone Network (PSTN), a wireless network (e.g., radio, IEEE 802.11, a cellular network), a combination of networks, and so on. A network-accessible service may be available to the general public or may be private (e.g., accessible to a predetermined set of users).


In some embodiments, a network-accessible service may provide content to users via the communication network. The content may be adapted for various computing devices and/or applications as described above (e.g., browser application, handheld device, etc.). The content may comprise and/or be implemented using any user-interface mechanism known in the art, including, but not limited to: HTML, Virtual Reality Modeling Language (VRML), text (e.g., TELNET), audio, video, executable code (e.g., ADOBE FLASH®), may include accessibility features (e.g., a11y interface features), and so on. Alternatively, or in addition, the content may be configured to interact with one or more dedicated, client application(s), which may be special purpose applications installed on a user computing device and/or operating as plug-ins to other applications (e.g., operating as a browser application plug-in, an applet (or “app”), or the like).


In some embodiments, a network-accessible service may be implemented as a website (a computing system comprising one or more server computing devices). The website may be configured to provide content in a browser-renderable format, such as HTML. However, as discussed above, the disclosure is not limited in this regard and could be adapted to use any content delivery technique known in the art.


The network-accessible service may provide advertising content along with the content it provides to users. The advertising content may be selected by the network-accessible service itself and/or may be provided by third parties, such as affiliates, advertisers, advertising networks, or the like. The advertising content may include any content type known in the art (e.g., text, images, video, audio, multi-media, user interface elements, etc.).


In some embodiments, advertising content may be included with the content provided by the network-accessible service (e.g., above, below, and/or interspersed with the content). The advertising content may comprise a “popup” that overlays other content, is in-line with the content, or the like. Alternatively, or in addition, the advertising content may be presented interstitially (e.g., displayed before and/or after other content). Advertising content may be provided within markup-language (e.g., web pages) and/or content-presentation applications (e.g., a portion of the viewable area of an “app” provided by the network-accessible service may be used to display advertising). As would be appreciated by one of skill in the art, the teachings of this disclosure could be applied to any type of advertising space and/or advertising mechanism known in the art.


An advertising provider may select the advertising content to be displayed via the network-accessible service. In some embodiments, the advertising provider may “target” advertising to users. For example, the advertising provider may maintain and/or access user-profile information, which may be used to select advertising content that is likely to be relevant to the user. Various mechanisms for aggregating user profile information are described in co-pending application Ser. No. 12/243,855, entitled, “Systems and Methods for Aggregating User Profile Information in a Network of Affiliated Websites,” filed Oct. 1, 2008, which is hereby incorporated by reference in its entirety. Alternatively, or in addition, the advertising provider may consider a “context” of the user to select advertising content. As used herein, a “context” refers to the type of content the user is accessing on the network-accessible service, the user's content viewing history, or the like.


In some embodiments, the advertising provider may pay for the opportunity to include its advertising content to users. For example, the advertising provider may “bid” (indicate an amount it is willing to pay) for an impression. The decision of whether to pay for an advertising impression and/or the amount to bid for an impression may be based upon the degree to which the advertising provider can tailor content to the user. For instance, the advertising provider may be unwilling to purchase and/or pay for an advertising impression unless a local dealer of the user can be identified.


The advertising provider may wish to provide advertising content that provides specific information about a product or service, such as dealer locations, current inventory, and so on (e.g., local advertising). However, contractual obligations (or other restrictions) may preclude the use of local advertising. For example, an Original Equipment Manufacturer (OEM) or franchisor business entity may advertise products or services that are provided by subordinate entities (e.g., dealers or franchises), each of which may be assigned its own “area of responsibility” (AOR). The top-level business entity (e.g., the OEM or franchisor) may be obligated to deliver potential customers to the correct business entity in accordance with the subordinate entity AORs. However, advertising content that is accessible via a network may be accessed by users in many different AORs, and as such, local advertising content may be precluded.


As used herein, an “OEM” or “franchisor” refers to a business entity that produces a product and/or offers services that may be offered, sold, serviced, and/or maintained by one or more subordinate business entities (e.g., “dealers” or “franchises”). As used herein, a “dealer” or “franchise” refers to a business entity that offers services, sells products, provides services and/or maintenance under an upper-level business entity, such as an OEM or franchisor. Moreover, although the terms “OEM,” “franchisor,” “dealer,” and/or “franchise” are used herein, the disclosure is not limited in this regard and could be adapted for use with any business organization and/or structure known in the art.



FIG. 1A depicts one embodiment of a business organization 100 comprising a top-level business entity (e.g. OEM) 110 and a plurality of subordinate entities 120 and 130. Although FIG. 1A shows a three-tier franchise business organization 100, one skilled in the art would recognize that the teachings of this disclosure could be used with virtually business organization comprising any number of tiers and/or structure (e.g., multi-tiered, flat, or the like).


The OEM 110 may represent the top-level business entity in the organization 100. The OEM 110 may be an OEM who manufacturers products (e.g., vehicles) that are sold and/or serviced through a dealer network. Accordingly, the subordinate business entities 120 and 130 may represent franchise groups 120 (e.g., dealer groups) and individual franchises 130 (e.g., dealers), which sell and/or service the franchisor's products. In other embodiments, the OEM 110 may be a service provider, such as an accounting services provider, or the like, and the subordinate business entities 120 and/or 130 may be franchises that provide the services under the direction and/or supervision of the OEM 110.


The business organization 100 may comprise a plurality of franchises 130A-G, which may sell, support, and/or provide services under the OEM 110. The business organization 100 may comprise one or more franchise groups 120A-B, which may be business entities that represent regional associations and/or groups of franchises 130A-G (e.g., the franchises 130 under a particular group 120 may be commonly owned and/or controlled).


Each of the dealers 130 and/or dealer groups 120 may be assigned a respective AOR, and the OEM 110 may be obligated to configure advertising to deliver potential customers to the appropriate dealer 130 and/or dealer group 120. Similarly, a dealer group (e.g., group 120A) may be obligated to configure its advertising to deliver potential customers to the appropriate group dealer 130A, 130B, or 130C (per the dealer AORs or other contractual arrangements). Accordingly, the OEM 110 may be obligated to ensure that its advertising content that includes dealer-specific content (e.g., dealer name, contact information, etc.) and is provided to users in the correct AOR; users in the AOR of dealer 130A should not be provided with dealer-specific advertising content of dealer 130D.



FIG. 1B graphically depicts a datastructure comprising a plurality of AORs, each being assigned a respective business entity (e.g., dealer). The AORs depicted in FIG. 1B may be arranged by markets or regions. An area or region (e.g., the United States) may be segmented into any number of markets. In the FIG. 1B example, a market 101 may comprise AORs within the Seattle metro area, and the market 103 may comprise AORs within the Dallas-Fort Worth metro area (not shown). Although FIG. 1B shows the AORs for a single market 101, one of skill would recognize that the datastructure depicted in FIG. 1B could include any number of AORs within any number of different markets and/or regions.


In the Seattle market 101, the area 131A may be the AOR of the dealer 130A, the area 131B may be the AOR of the dealer 130B, the area 131E may be the AOR of the dealer 130E, the area 131F may be the AOR of the dealer 130F, and the area 131G may be the AOR of the dealer 130G. In some embodiments, the AORs 131A, 131B, 131E, 131F, and 131G may correspond to predefined regions, such as zip codes regions, postal codes, counties, neighborhoods, proper names, or the like. Accordingly, the AORs 131 may be more finely grained than state, city, and/or country location information. Although not shown in FIG. 1B, in some embodiments, the AORs of two or more dealers may overlap one another. Accordingly, a user in a particular location (e.g., zip code) may be within the AOR of two or more dealers. In this case, the selection of which dealer is assigned to the user may be selected randomly, may be rotated (e.g., the dealers may be selected in a “round-robin” scheme, or the like). In some embodiments, the AORs may not completely cover a particular area (e.g., a user may not be within the AOR of any dealer). The dealer assigned to such a user may be selected as the nearest dealer, the nearest AOR, by contract or other agreement, or the like.


As discussed above, a top-level business entity (e.g. OEM 110) may be obligated to confirm advertising content to the AOR boundaries of its subordinate entities (e.g., dealers 130). Accordingly, the OEM 110 may be obligated to configure its advertising to direct users in the market 101 to the appropriate dealer (per the dealer AORs depicted in FIG. 1B). As such, advertising content presented to a user located at point 140 may comprise information pertaining to the dealer 130B (or dealer group 120A to which the dealer 130B belongs), since the point 140 is located within its AOR 131B. A user located at a different point 141 may be presented with local advertising content pertaining to a different dealer (e.g., dealer 131F).


As illustrated in FIG. 1B, the AORs 131 may be finely grained. For instance, the Seattle market area 101 may be covered by a plurality of AORs 130. The AORs may be defined in terms of postal or zip code (or by street address or neighborhood). The city of Seattle itself may be covered by several of the AORs 131. Accordingly, identifying the AOR associated with a particular user may require specific location-identifying information; merely identifying the user's country, state, or city may not be sufficient.


As such, techniques for estimating the location of a user based upon the user's network address (e.g. Internet Protocol (IP) address) may not be viable. Such techniques may have limited accuracy (e.g., may not provide location information with sufficient specificity to determine the appropriate dealer AOR), may be easily (or unintentionally) spoofed (e.g., by the use of a proxy, remote ISP, etc.), and/or may not provide location information on a “real-time” basis. Moreover, a user may move from place to place, whereas his true “home” location remains the same; therefore, location-identifying information derived from a network address may not truly reflect the user's home location.


In some embodiments, user location may be determined using information provided by the user himself and/or through other user activity. As will be described below, location-identifying information, may be acquired using a number of different techniques including, but not limited to: accessing location information provided by the user; accessing location information provided by the user to a different network-accessible service (e.g., in a previous session); obtaining location information from an advertising network; obtaining location information from a third-party service, obtaining location information from a user device (e.g., a location-aware smart phone having GPS functionality), obtaining location information from a network service (e.g., Internet Service Provider, wireless network node, cell tower, IP-address lookup, etc.), or the like. As used herein, location-identifying information refers to any information used to determine a location of a user. Accordingly, location-identifying information may include, but is not limited to: location coordinates (e.g., latitude and longitude, GPS coordinates, etc.), a postal code, a zip code, a proper name, a country code, a state identifier, a province identifier, a regional identifier (e.g., county, municipality, etc.), a street address, or the like.


When the location of the user is determined, the advertising provider may identify the business entity (e.g., dealer) that is “assigned” to the user per the dealer or franchise agreement(s). The identification may comprise comparing the user's location to an AOR datastructure, such as a map datastructure as illustrated in FIG. 1B. Once the AOR is identified, advertising content generated for the user may be customized to include localization information pertaining to the identified business entity (e.g., dealer-specific content). If no location information is available (or is insufficient to identify one or more AORs), the user may be provided with “generic” advertising content, which may include a prompt to provide location-identifying information. Accordingly, the advertising provider may provide targeted advertising while conforming to its advertising obligations.



FIG. 2 is a system diagram of one embodiment of a system 200 for providing entity-specific advertising content while conforming to advertising obligations. The system may include a network-accessible service 220, which, in the FIG. 2 example, may be and/or comprise a web server 222. The web server 222 may comprise a Content Adaptive Website capable of customizing content based upon user profile information as described in the following co-pending applications: application Ser. No. 12/243,852, entitled, “Systems and Methods for Configuring a Website Having a Plurality of Operational Modes,” filed on Oct. 1, 2008; and application Ser. No. 12/243,861, entitled, “Systems and Methods for Configuring a Network of Affiliated Websites,” filed Oct. 1, 2008, each of which is hereby incorporated by reference in their entirety.


The network-accessible service 220 may be configured to receive requests for content from users 240 via a network 245, and to respond by providing the requested content using any communication and/or content presentation mechanism in the art. The content 224 provided to a user 240A (responsive to a content request 242 from the user 240A) may comprise advertising content 225. The advertising content 225 may be provided by the network-accessible service 220, an advertising network 254, and/or an advertising provider 210.


The advertising provider 210 may be configured to generate dealer-targeted advertising content for the network-accessible service 220 (e.g., to be used as advertising content 225 provided to the users 240). The advertising provider 210 may be implemented using a computing device, which may comprise a processor 211, memory 213, and so on. Accordingly, in some embodiments, the advertising provider 210 may be implemented using the processor 211 and memory 213, and as such, may comprise one or more software modules embodied as machine-readable instructions stored on a non-transitory computer-readable storage medium, such as a disc, non-volatile memory, or the like. The advertising provider 210 may further comprise and/or be coupled to communication interfaces (not shown), input-output devices (not shown), and the like.


In some embodiments, the advertising provider may comprise a datastore 212 comprising advertising templates (e.g., advertising template 214), and a datastore 216 comprising dealer-specific advertising content (dealer-specific content records 218). An advertising template 214 may comprise generic advertising assets promoting a particular product or service of the OEM (or franchisor), into which dealer-specific advertising content may be included. The template 214 may include tags or call-outs (or other template entry fields) identifying locations in the template that are configured to receive dealer-specific content (from the datastore 216). The datastores 212 and/or 216 may comprise a database, disc, non-volatile memory, or the like. In some embodiments, a dealer specific content may comprise an eXtensible Markup Language (XML) file comprising and/or referencing generic advertising assets. XML elements within the template may indicate where dealer-specific content may be included. The XML elements may further specify the type(s), sizing, and other parameters of the dealer-specific content (e.g., may specify the inclusion of a “small” logo, inventory data (text), and so on). The advertising provider 210 may be configured to interpret the XML elements and associated directives when combining an advertising template with dealer-specific content.


The datastore 216 may comprise dealer-specific advertising content 218, which may be combined with the advertising templates of the datastore 212 to generate dealer-targeted advertising content. The dealer-specific advertising content may include, but is not limited to: dealer branding assets (e.g., dealer logo and other graphics), dealer contact information (e.g., street address, phone, email, etc.), dealer inventory status (e.g. real-time inventory), dealer-specific offers, services provided at the dealer, wait times, personnel availability, any/or any other dealer-specific content. Accordingly, in some embodiments, the contents of the datastore 216 may be acquired from the dealers 230A-230G (e.g., the datastore 216 may be communicatively coupled to inventory and/or service management systems (not shown) of the dealers 230A-230G). Alternatively, or in addition, the advertising provider 110 may bypass the datastore 216 to access dealer-specific information directly from the dealers 230A-230G.


The advertising provider 210 may be configured to generate dealer-targeted advertising content, which may be returned with content 224 provided by the network-accessible service 220 in response to a user request, such as the content request 242. When the content request 242 is received, the advertising provider 210 may attempt to access location-identifying information corresponding to the content request 242 (and/or user 240A associated therewith). As described above, the location-identifying information may be sufficiently specific (e.g., a zip code or street address) to allow the advertising provider 210 to identify an AOR. In some embodiments, the advertising provider 210 may pay the network-accessible service 220 (or advertising network 254, etc.) for the opportunity to provide advertising content to the users 240. The advertising provider 210 may determine whether to pay for an advertising impression (or determine the price to pay for the impression) based upon whether location-identifying information is available. If location-identifying information sufficient to generate dealer-targeted advertising is available and/or user profile information indicates that the user is “in-market,” the advertising provider 210 may pay for an advertising impression (or be willing to “bid” more for the impression), whereas if no location-identifying information is available, the advertising provider 210 may forego the advertising impression or bid a lesser amount.


The advertising provider 210 may access the location-identifying information using a number of techniques including, but not limited to: accessing location-identifying information provided by the user 240A, accessing location-identifying information provided by the user 240A to a different network-accessible service (e.g., in a previous session), obtaining location-identifying information from an advertising network 254, obtaining location-identifying information from a third-party service 250, or the like.


In some embodiments, users 240 accessing the network-accessible service 220 may be prompted to provide registration and/or profile information. This information may be provided when a user 240 first accesses the service 220 and/or may be updated on an ongoing basis (e.g., by prompting the users 240 and/or observing activity on the service 220). For example, the network-accessible service 220 may provide location-targeted content, which may be accessible only when users 240 provide location-identifying information. The location-identifying information may be received in a number of different ways including, but not limited to: the user entering location-identifying information, the user interacting with a map or other interface element, the user accessing the network-accessible service 220 using a location-aware device (e.g., a mobile communication device having GPS functionality), the user accessing other, location-aware network accessible services, or the like.


The location-identifying information provided by a user 240 may be stored in a browser “cookie” or other datastore 223 maintained by the network-accessible service 220. The cookie and/or profile datastore 223 may be accessible by the advertising provider 210. Alternatively, or in addition, the content request 242 may include a session identifier (or persistent session identifier header, an authentication header, a cookie, or the like), which may be used to access a user profiling maintained by the network-accessible service 220 (e.g., in the profile datastore 223). Other persistent user profile datastores may be queried, such an ADOBE FLASH® local shared object, cross-domain cookies, browser session data, a user identifier (e.g., user name, email address, etc.), or the like.


In some embodiments, the advertising provider 210 may access location-identifying information that was provided by the user 240A to a different network-accessible service, such as a portal website 252. The portal website 252 may be a product research website (e.g., an automotive research website, such as AUTOTRADER®, EDMUNDS®, or the like). The portal website 252 may request location-identifying information from users 240 to better provide location-targeted research information. The portal 252 may be configured to provide such information to the advertising provider 210 (subject to certain privacy restrictions). The location-identifying information may be provided using HTTP headers (e.g., in an HTTP forward or other referral mechanism), using cross-domain cookies, by back-channel communication between the advertising provider 210 and portal 252, using a profile aggregation service (not shown), or the like.


The advertising provider 210 may participate and/or be a member of an advertising network 254, which may maintain user profile data for members of the network. The user profile data maintained by the advertising network 256 may comprise location-identifying information entered at other network-accessible service(s) associated with the advertising network 254 (e.g., in previous sessions). As will be described below, the advertising network 254 may also be leveraged to identify users that are “in-market” (e.g., preparing to purchase a product advertised by the advertising provider 210), determine product preferences of the users (e.g., identify the type(s) of products and/or product features in which the user may be interested), and the like.


In some embodiments, the advertising provider 210 may be communicatively coupled to a third-party location-identification service 250, which may be configured to provide location-identification information regarding the users 240 using one or more of the techniques described above. The location-identification service 250 may comprise and/or be communicatively coupled to a plurality of different network-accessible services (not shown), each of which may use the service 250 to aggregate and/or access user profile information, including, but not limited to user location-identifying information. For example, when one of the network-accessible services (e.g., service 220) receives location-identifying information from a user 240, the information may be provided to the third-party service 250 (along with a key or other user identifier). Other network-accessible services (not shown) may be given access to the location-identifying information for use with certain restrictions (e.g., per a privacy policy of the advertising provider 210 and/or location-identification service 250).


Once location-identifying information regarding the content request 242 is obtained (using one or more of the techniques described above), the advertising provider 210 may determine the dealer 230 (and/or dealer group) that is assigned to the user 240A (e.g., identify the dealer 230 that is assigned the AOR in which the user 240A is located). In some embodiments, the advertising provider 210 may compare the location-identifying information to a dealer-to-AOR datastructure 219, which may comprise a datastructure as depicted in FIG. 1B (e.g., location-to-AOR mappings between locations and dealers).


If one or more dealers are identified, these dealers may be stored in a user profile (e.g., cookie) of the user 240A. Accordingly, future adverting for the user 240A may be targeted to the proper dealer without re-accessing the location-identifying information, AOR datastore 219, and the like.


The advertising provider 210 may generate dealer-targeted advertising content by combining an advertising template (e.g., template 214) from the datastore 212 with dealer-specific content obtained from the datastore 216. The resulting dealer-targeted advertising content may comprise a combination of generic advertising assets provided by the OEM (or franchisor) and dealer-specific content pertaining to the identified dealer 230. The dealer-targeted advertising generated by the advertising provider 210 may be provided to the network-accessible service 220, which may transmit the dealer-specific advertising content 225 to the user 240A. As discussed above, the dealer-specific advertising content 225 may be included with the content 224, presented to the user 240A interstitially, or the like.


In some embodiments, the datastore 212 may comprise a plurality of different advertising templates, each promoting a different type of product and/or targeted to a different “type” of customer (e.g., “in-market,” “casual,” “green,” and so on). The advertising provider 210 may be configured to select from the different advertising templates based upon user profile information. User profile information may be determined based upon the content 224 requested by the user 240A, by the user's 240A behavior on the network-accessible service 220 (e.g., past browsing history, etc.), by the user's 240A behavior on other network-accessible services (not shown), user profile information shared by other network-accessible services (e.g., product research portals, etc.), or the like. Alternatively, or in addition, the advertising provider 210 may access a user profile datastore 223 maintained by the network-accessible service 220, advertising network 254, location-identifying service 250, or the like.


For example, the datastore 212 of an advertising provider 210 for a vehicle manufacturer may include advertising templates related to “work” vehicles (e.g., trucks), “family” vehicles (e.g., mini vans, sport utility vehicles, etc.), “green” vehicles (e.g., hybrids, etc.), and so on. The advertising provider 210 may be configured to select a template from the datastore 212 based upon the user profile information accessed as described above. For instance, if the user profile information indicates that the content request 224 pertains to environmental issues, the user 240A has accessed content related to the environment in previous sessions, or the like, the advertising provider 210 may select an advertising template promoting “green” vehicles. The selected advertising template may be used to generate dealer-targeted advertising using dealer-specific content from the datastore 216 as described above.


The dealer-targeted advertising may be generated upon request (e.g., in response to the content request 242) and/or may be pre-generated and stored in a datastore 212 or 216. The advertising provider 210 may pre-generate advertising content for a user (e.g., user 240A) as soon as location-identifying information about the user is available. An indicator referencing the pre-generated advertising content may be stored in a user profile for the user (e.g., cookie or the like). The pre-generated advertising content may be provided when a content request from the user is received.


If the advertising provider 210 is unable to access location-identifying information for the user 240A, the advertising provider 210 may generate “generic” advertising content. The generic advertising content may not include dealer-specific advertising content. In some embodiments, generic advertising content may comprise a prompt requesting location-identifying information from the user 240A (e.g., “enter your zip code”). Alternatively, the prompt may comprise a request for user approval to access location-identifying information stored on the user's computing device, from a location-aware computing device, or the like. When the user 240A provides location-identifying information, the advertising provider 210 may generate updated, location-targeted, advertising content as described above.



FIG. 3 is a flow diagram of one embodiment of a method 300 for providing targeted advertising. In some embodiments, one or more steps of the method 300 may be implemented using machine-readable instructions stored on a non-transitory computer-readable storage medium (e.g., disc, non-transitory memory, etc). The instructions may be executed by a machine (e.g., computing device) to implement one or more steps of the method 300.


At step 310, the method 300 may start and be initialized, which may comprise loading one or more machine-readable instructions from a non-transitory computer-readable storage medium, initializing hardware resources (e.g., datastores, communication interfaces, etc.), and so on.


At step 320, the method 300 may be prompted to generate dealer-targeted advertising content to be displayed in connection with content provided by a network-accessible service may be received. In some embodiments, the prompt may be received in response to a user content request (e.g., HTTP request). The content request may be received over a network (e.g., the Internet), and may comprise an HTTP request (e.g., HTTP GET), or other request type. The content request may comprise source-identifying information, such as a source IP address, request headers (e.g., HTTP headers), session identifiers, user credentials, and so on. In some embodiments, the prompt may comprise an offer to purchase an advertising impression and/or to bid on the impression.


At step 330, location-identifying information regarding the request may be accessed. The location-identifying information accessed at step 330 may be of sufficient specificity to allow the method 300 to assign a dealer to the request. Accordingly, the location-identifying information may comprise a dealer identifier (stored in a previous iteration of the method 300), an indicator identifying pre-generated advertising content, a postal code, a zip code, proper name, a street address, or the like. As described above, accessing location-identifying information at step 330 may comprise: accessing location-identifying information provided by the requester (and maintained by the method 300 or network-accessible service using a cookie or another storage technique), accessing location-identifying information provided to another network-accessible service (e.g., in a previous session), accessing location-identifying information from an advertising network, obtaining location-identifying information from a third-party location service, or the like. Accordingly, in some embodiments, step 330 may comprise extracting a key (or other identifier) from the request, and using the key to query a datastore (or other network-accessible service, advertising network, or the like) for location-identifying information.


Step 330 may further comprise accessing user-profile information, which, as described above, may be used to select an advertising template that is tailored to the “interests” of the user and/or may identify products and/or services that are likely to be of interest to the user.


In some embodiments, step 330 may comprise determining whether to purchase the advertising impression and/or calculating an amount to bid on the impression. If location-identifying information is not available, the method 300 may determine that it is not worthwhile to purchase the impression; and as such, may forego providing the advertising content and/or may bid a reduced amount for the impression. Conversely, if location-identifying information is available, the method 300 may purchase the impression and/or may bid a higher amount. The determination may be based not only on the availability of location-identifying information, but also on user profile information, such as whether the user is “in-market,” or the like. If the method 300 determines to forego the impression and/or the bid for the impression is not accepted, the flow may terminate at step 390 until a next prompt is received at step 320; otherwise, the flow may continue to step 340.


At step 340, one of a plurality of advertising templates stored in a template datastore may be selected. The selection may be based upon the type and/or nature of the content with which the advertising content is to be displayed. For instance, if the advertising content is to be displayed in connection with an article on farming, the method 300 may select an advertising template promoting a vehicle manufacturer's work truck line. Alternatively, or in addition, the selection may be based upon the user-file information (if available) accessed at step 330. As described above, user-profile information may be indicative of the user's interests and/or “in-market” status, which may be taken into consideration when selecting an advertising template at step 340.


At step 350, if the method 300 was able to access location-identifying information at step 330, the flow may continue to step 360; otherwise, the flow may continue to step 370.


At step 360, the method 300 may determine which of a plurality of dealers is associated with the request. Accordingly, step 360 may comprise determining in which dealer AORs the location-identifying information falls. The determining may comprise accessing an AOR datastructure (e.g., map datastructure) or the like. Once the AOR is determined, the corresponding dealer or dealer group may be identified.


At step 362, the method may access dealer-specific advertising content of the identified dealer or dealer group. The dealer-specific advertising content may be stored in a datastore of the method 300 and/or may be accessed directly from the identified dealer. The dealer-specific advertising content may comprise dealer location information (e.g., address, directions, etc.), contact information, branding assets (e.g., logo, color scheme, etc.), offers available at the dealer, dealer inventory information (e.g., real-time inventory available at the dealer), products or services offered at the dealer, coupons, etc.


At step 364, the method 300 may generate dealer-targeted advertising content by combining the advertising template selected at step 340 with the dealer-specific content accessed at step 362. The combining may comprise identifying tags or other “call-outs” in the advertising template specifying where dealer-specific content may be inserted. The method 300 may identify and/or interpret the tags, obtain the requested content (from a datastore and/or directly from a dealer), and insert the content into the template. For example, an advertising template may include a tag specifying the placement of dealer branding information (e.g., a logo image). At step 364, the method 300 may identify the tag(s) or call-out(s) in the advertising template, access dealer-specific content corresponding to the tag(s) or call-out(s), and insert appropriate dealer-specific content to generate dealer-targeted advertising content. In another example, a tag or callout may call for “real-time” information from a dealer, such as a service wait time, inventory status, or the like. The method 300 may query the dealer for the requested information (e.g., via a communication link, database query, or the like) and may populate the template accordingly. In some embodiments, the method 300 may include a refresh process during which each dealer and/or dealer group is queried for updated dealer-specific content. These queries may be configured to occur during “off-peak” times to prevent interference with the dealers' normal operations. The updated information accessed during the refresh may be stored (e.g., in a datastore, such as the datastore 216 of FIG. 2) and used to provide up-to-date dealer-specific information.


At step 370, if no location-identifying information is found (or if the location is not sufficiently specific to identify a dealer AOR), the method 300 may generate “generic” advertising content. The generic advertising content may not include dealer-specific content. The generic advertising content may include a prompt for location-specific information (e.g., a zip code entry field). When location-identifying information is provided via the entry field, the flow may continue at step 360, where updated, dealer-specific advertising content may be generated as described above.


At step 380, the method 300 may provide the advertising content generated at steps 360-364 and/or 370 to the requester of step 320. At step 390, the method 300 may end until another prompt to generate dealer-specific advertising content is received.


The above description provides numerous specific details for a thorough understanding of the embodiments described herein. However, those skilled in the art will recognize that one or more of the specific details may be omitted, or other methods, components, or materials may be used. In some cases, operations are not shown or described in detail.


Furthermore, the described features, operations, or characteristics may be combined in any suitable manner in one or more embodiments. It will also be readily understood that the order of the steps or actions of the methods described in connection with the embodiments disclosed may be changed as would be apparent to those skilled in the art. Thus, any order in the Drawings or Detailed Description is for illustrative purposes only and is not meant to imply a required order, unless specified to require an order.


Embodiments may include various steps, which may be embodied in machine-executable instructions to be executed by a general-purpose or special-purpose computer (or other electronic device). Alternatively, the steps may be performed by hardware components that include specific logic for performing the steps, or by a combination of hardware, software, and/or firmware.


Embodiments may also be provided as a computer program product including a non-transitory computer-readable medium having stored instructions thereon that may be used to program a computer (or other electronic device) to perform processes described herein. The non-transitory computer-readable medium may include, but is not limited to: hard drives, floppy diskettes, optical disks, CD-ROMs, DVD-ROMs, ROMs, RAMs, EPROMs, EEPROMs, magnetic or optical cards, solid-state memory devices, or other types of media/machine-readable medium suitable for storing electronic instructions.


As used herein, a software module or component may include any type of computer instruction or computer executable code located within a memory and/or other data storage device. A software module may, for instance, comprise one or more physical or logical blocks of computer instructions, which may be organized as a routine, program, object, component, data structure, etc., that perform one or more tasks or implements particular abstract data types. The instructions may be stored on a non-transitory computer-readable storage medium, and may be loaded into a memory when needed.


In certain embodiments, a particular software module may comprise disparate instructions stored in different locations of a memory device, which together implement the described functionality of the module. Indeed, a module may comprise a single instruction or many instructions, and may be distributed over several different code segments, among different programs, and across several memory devices. Some embodiments may be practiced in a distributed computing environment where tasks are performed by a remote processing device linked through a communications network. In a distributed computing environment, software modules may be located in local and/or remote memory storage devices. In addition, data being tied or rendered together in a database record may be resident in the same memory device, or across several memory devices, and may be linked together in fields of a record in a database across a network.


It will be understood by those having skill in the art that many changes may be made to the details of the above-described embodiments without departing from the underlying principles of the invention.

Claims
  • 1. A method for serving location-specific advertising content within an electronic communication network, comprising: maintaining on a computer-readable storage medium, an area of responsibility (AOR) data structure defining a plurality of AOR and a plurality of geographical areas covered by the electronic communication network, each AOR corresponding to a respective geographical area defined in the AOR data structure and being associated with respective AOR-specific electronic content;embedding customization tags within electronic markup data of one or more advertising templates, the customization tags configured to provide for generating AOR-specific advertising content customized for each AOR of the plurality of AOR defined in the AOR data structure from a same advertising template; andproviding advertising content in response to each request of a plurality of requests received at a computing system through the electronic communication network, the requests corresponding to respective client computing devices at physical locations within geographical areas of a plurality of different AOR defined in the AOR data structure, the providing comprising: the computing system using the AOR data structure to generate customized, AOR-specific advertising content for each request of the plurality of requests from the same advertising template, the generating comprising: the computing system determining location-identifying information for each request of the plurality of requests, the location-identifying information determined for each request comprising electronic data indicating a physical location of a respective client computing device corresponding to each request,the computing system using the AOR data structure to identify AOR-specific electronic content to include in the customized, AOR-specific advertising content generated for each request, the identifying comprising matching the location-identifying information determined for the requests to respective geographical areas of AOR defined in the AOR data structure and accessing the AOR-specific electronic content associated with the matching AOR,the computing system generating the customized AOR-specific advertising content for each request of the plurality of requests from the same advertising template, by inserting the AOR-specific electronic content identified for each request into the electronic markup data of the same advertising template at locations identified by the customization tags embedded within the electronic markup data, andthe computing system transmitting the customized, AOR-specific advertising content generated for the plurality of requests to the respective client computing devices corresponding to each request through the electronic communication network.
  • 2. The method of claim 1, wherein matching the location-identifying information determined for a first one of the requests to a geographical area comprises determining that the location-identifying information determined for the first request falls within the geographical area.
  • 3. The method of claim 1, further comprising: matching location-identified information determined for a first request to two or more AOR of the AOR data structure; andselecting one of the two or more AOR in accordance with a round-robin selection scheme.
  • 4. The method of claim 1, wherein the requests correspond to respective client content requests, the method further comprising selecting the advertising template from a plurality of advertising templates based upon one or more of the client content requests and user profiles associated with the client content requests.
  • 5. The method of claim 1, wherein the location-identifying information determined for a first one of the requests comprises one or more of a postal code, a zip code, a proper name, location coordinates, and a street address.
  • 6. The method of claim 1, wherein the AOR-specific electronic content associated with a first AOR defined in the AOR data structure comprises an indicator of an inventory available at a particular dealer associated with the first AOR.
  • 7. The method of claim 1, wherein the AOR-specific electronic content associated with a first AOR defined in the AOR data structure comprises one or more of an address of a particular dealer associated with the first AOR, contact information of the particular dealer, a wait time at the particular dealer, and an offer available from the particular dealer.
  • 8. The method of claim 1, further comprising generating generic advertising content in response to a request for which location-identifying information is not available.
  • 9. The method of claim 1, wherein determining the location-identifying information for a first one of the requests comprises one or more of accessing location-identifying information stored using a browser application, accessing location-identifying information in a header of the first request, accessing location-identifying information in a header of a content request associated with the first request, retrieving location-identifying information from a user profile associated with the first request, accessing location-identifying information maintained by a network-accessible service, and accessing location-identifying information maintained by an advertising network.
  • 10. A system for delivering location-aware advertising content in an electronic communication network, comprising: a non-transitory computer-readable storage medium comprising: an area of responsibility (AOR) data structure defining a plurality of geographical areas, each geographical area corresponding to a respective AOR and being associated with respective AOR-specific electronic content, andone or more advertising templates, each advertising template comprising embedded customization tags configured to provide for generating AOR-specific advertising content customized for each AOR of the plurality of AOR defined in the AOR data structure from a same advertising template;a server comprising a processor; andan advertising provider operating on the processor of the server, the advertising provider configured to service a plurality of requests for advertising content in response to receiving the requests through the electronic communication network, wherein servicing the plurality of requests comprises the advertising provider: determining location-identifying information for each request for advertising content, the location-identifying information determined for each request comprising electronic data indicating a physical location of a client computing device corresponding to each request,using the AOR data structure to identify AOR-specific electronic content for each request, the identifying comprising matching the location-identifying information determined for each request to a geographical area of an AOR defined in the AOR data structure and accessing the AOR-specific electronic content associated with the matching AOR,generating AOR-specific advertising content for each advertising content request from an advertising template selected from the one or more advertising templates, the generating comprising inserting the AOR-specific electronic content identified for each advertising content request into the selected advertising template at locations identified by the embedded customization tags of the selected advertising template, andtransmitting the AOR-specific advertising content generated for the requests via the electronic communication network for display on the client computing devices corresponding to the requests.
  • 11. The system of claim 10, wherein the advertising provider is further configured to select the advertising template from a shared template data store comprising a plurality of advertising templates, each advertising template comprising respective embedded customization tags.
  • 12. The system of claim 10, wherein the advertising provider is further configured to select the advertising template from a shared template data store comprising a plurality of advertising templates based on one or more of content requests associated with the requests for advertising content, and user profiles associated with the content requests.
  • 13. The system of claim 10, wherein the location-identifying information determined for a first advertising content request comprises one or more of a postal code, a zip code, a proper name, location coordinates, and a street address.
  • 14. The system of claim 10, wherein the AOR-specific electronic content associated with a first AOR defined in the AOR data structure comprises one or more of an address of a particular dealer associated with the first AOR, contact information of the particular dealer, a wait time at the particular dealer, and an offer available from the particular dealer.
  • 15. The system of claim 10, wherein the location-identifying information determined for a first one of the plurality of requests for advertising content comprises one or more of location-identifying information stored using a browser application, location-identifying information in a header of the first request transmitted via the electronic communication network, location-identifying information in a header of a client content request associated with the first request, location-identifying information maintained by a network-accessible service, and location-identifying information maintained by an advertising network.
  • 16. A non-transitory computer-readable storage medium comprising machine-readable instructions to cause a machine to perform operations for distributing location-aware content within an electronic communication network, the operations comprising: maintaining an area of responsibility (AOR) data structure defining a plurality of AOR, each AOR associated with respective AOR-specific electronic content and covering a specified geographical area;receiving, through the electronic communication network, a plurality of requests for targeted advertising corresponding to a specified advertising template comprising electronic markup data that includes call out data identifying locations within the electronic markup data for insertion of AOR-specific content;generating customized, AOR-specific advertising content for each request of the plurality of requests, the generating comprising: determining location-identifying information for each request based on content requests associated with the requests, the location-identifying information comprising electronic data pertaining to physical locations of respective client computing devices associated with the requests,determining AOR-specific content for each request using the AOR data structure, the determining comprising searching the AOR data structure to match the determined location-identifying information of each request to a geographical area defined in the AOR data structure and accessing the AOR-specific content of the matching AOR, andinserting the AOR-specific content determined for each request into the electronic markup data of the specified advertising template at the locations identified by the call out data-included in the electronic markup data of the specified advertising template; andtransmitting the customized, AOR-specific advertising content generated for each request via the electronic communication network for display on the respective client computing devices associated with the requests.
  • 17. The non-transitory computer-readable storage medium of claim 16, wherein the operations further comprise offering an increased bid price for advertising on a target web page associated with a particular content request based on the determined location-identifying information pertaining to the particular content request.
  • 18. The non-transitory computer-readable storage medium of claim 16, wherein the specified advertising template is selected from a shared template data store comprising a plurality of advertising templates, each advertising template comprising respective electronic markup data including respective call out data identifying locations within the electronic markup data for insertion of AOR-specific content.
  • 19. The non-transitory computer-readable storage medium of claim 16, wherein determining the location-identifying information for a first one of the plurality of requests comprises one or more of accessing a header of a first content request, accessing a parameter of the first content request, accessing a session corresponding to the first content request, accessing a network address of a client computing device that transmitted the first content request, and accessing a user profile corresponding to the first content request.
  • 20. The non-transitory computer-readable storage medium of claim 16, wherein the AOR-specific content of a first AOR defined in the AOR data structure comprises one or more of a dealer inventory, a dealer promotion, a dealer group inventor, and a dealer group promotion.
US Referenced Citations (333)
Number Name Date Kind
3792445 Bucks et al. Feb 1974 A
4258421 Juhasz et al. Mar 1981 A
4992940 Dworkin Feb 1991 A
5003476 Abe Mar 1991 A
5034889 Abe Jul 1991 A
5058044 Stewart et al. Oct 1991 A
5421015 Khoyi et al. May 1995 A
5442553 Parrillo Aug 1995 A
5452446 Johnson Sep 1995 A
5521815 Rose, Jr. May 1996 A
5649186 Ferguson Jul 1997 A
5694595 Jacobs et al. Dec 1997 A
5729452 Smith et al. Mar 1998 A
5787177 Leppek Jul 1998 A
5790785 Klug et al. Aug 1998 A
5835712 DuFresne Nov 1998 A
5845299 Arora et al. Dec 1998 A
5862346 Kley et al. Jan 1999 A
5911145 Arora et al. Jun 1999 A
5956720 Fernandez et al. Sep 1999 A
5974149 Leppek Oct 1999 A
5974418 Blinn et al. Oct 1999 A
5974428 Gerard et al. Oct 1999 A
5978776 Seretti et al. Nov 1999 A
5987506 Carter et al. Nov 1999 A
6003635 Bantz et al. Dec 1999 A
6006201 Berent et al. Dec 1999 A
6009410 LeMole et al. Dec 1999 A
6018748 Smith Jan 2000 A
6021416 Dauerer et al. Feb 2000 A
6021426 Douglis et al. Feb 2000 A
6026433 D'Arlach et al. Feb 2000 A
6041310 Green et al. Mar 2000 A
6041344 Bodamer et al. Mar 2000 A
6055541 Solecki et al. Apr 2000 A
6061698 Chadha et al. May 2000 A
6067559 Allard et al. May 2000 A
6070164 Vagnozzi May 2000 A
6134532 Lazarus et al. Oct 2000 A
6151609 Truong Nov 2000 A
6178432 Cook et al. Jan 2001 B1
6181994 Colson et al. Jan 2001 B1
6185614 Cuomo et al. Feb 2001 B1
6189104 Leppek Feb 2001 B1
6219667 Lu et al. Apr 2001 B1
6236994 Schwartz et al. May 2001 B1
6263268 Nathanson Jul 2001 B1
6289382 Bowman-Amuah Sep 2001 B1
6295061 Park et al. Sep 2001 B1
6330499 Chou et al. Dec 2001 B1
6343302 Graham Jan 2002 B1
6353824 Boguraev et al. Mar 2002 B1
6374241 Lamburt et al. Apr 2002 B1
6397226 Sage May 2002 B1
6397336 Leppek May 2002 B2
6401103 Ho et al. Jun 2002 B1
6421733 Tso et al. Jul 2002 B1
6473849 Keller et al. Oct 2002 B1
6496855 Hunt et al. Dec 2002 B1
6505106 Lawrence et al. Jan 2003 B1
6505205 Kothuri et al. Jan 2003 B1
6519617 Wanderski et al. Feb 2003 B1
6535879 Behera Mar 2003 B1
6539370 Chang et al. Mar 2003 B1
6546216 Mizoguchi et al. Apr 2003 B2
6553373 Boguraev et al. Apr 2003 B2
6556904 Larson et al. Apr 2003 B1
6564216 Waters May 2003 B2
6571253 Thompson et al. May 2003 B1
6581061 Graham Jun 2003 B2
6583794 Wattenberg Jun 2003 B1
6594664 Estrada et al. Jul 2003 B1
6606525 Muthuswamy et al. Aug 2003 B1
6629148 Ahmed et al. Sep 2003 B1
6643663 Dabney et al. Nov 2003 B1
6654726 Hanzek Nov 2003 B1
6678706 Fishel Jan 2004 B1
6697825 Underwood et al. Feb 2004 B1
6721747 Lipkin Apr 2004 B2
6728685 Ahluwalia Apr 2004 B1
6738750 Stone et al. May 2004 B2
6744735 Nakaguro Jun 2004 B1
6748305 Klausner et al. Jun 2004 B1
6785864 Te et al. Aug 2004 B1
6795819 Wheeler et al. Sep 2004 B2
6823258 Ukai et al. Nov 2004 B2
6823359 Heidingsfeld Nov 2004 B1
6826594 Pettersen Nov 2004 B1
6847988 Toyouchi et al. Jan 2005 B2
6850823 Eun et al. Feb 2005 B2
6871216 Miller et al. Mar 2005 B2
6894601 Grunden et al. May 2005 B1
6901430 Smith May 2005 B1
6917941 Wight et al. Jul 2005 B2
6922674 Nelson Jul 2005 B1
6944677 Zhao Sep 2005 B1
6963854 Boyd et al. Nov 2005 B1
6965968 Touboul Nov 2005 B1
6978273 Bonneau et al. Dec 2005 B1
6981028 Rawat et al. Dec 2005 B1
6990629 Heaney et al. Jan 2006 B1
7000184 Matveyenko et al. Feb 2006 B2
7028072 Kliger et al. Apr 2006 B1
7031554 Iwane Apr 2006 B2
7039704 Davis et al. May 2006 B2
7047318 Svedloff May 2006 B1
7062506 Taylor et al. Jun 2006 B2
7072943 Landesmann Jul 2006 B2
7107268 Zawadzki et al. Sep 2006 B1
7152207 Underwood et al. Dec 2006 B1
7155491 Schultz et al. Dec 2006 B1
7171418 Blessin Jan 2007 B2
7197764 Cichowlas Mar 2007 B2
7219234 Ashland et al. May 2007 B1
7240125 Fleming Jul 2007 B2
7246263 Skingle Jul 2007 B2
7281029 Rawat Oct 2007 B2
7322007 Schowtka et al. Jan 2008 B2
7386786 Davis et al. Jun 2008 B2
7401289 Lachhwani et al. Jul 2008 B2
7433891 Haber et al. Oct 2008 B2
7496543 Bamford et al. Feb 2009 B1
7502672 Kolls Mar 2009 B1
7536641 Rosenstein et al. May 2009 B2
7548985 Guigui Jun 2009 B2
7587504 Adams et al. Sep 2009 B2
7593925 Cadiz et al. Sep 2009 B2
7593999 Nathanson Sep 2009 B2
7620484 Chen Nov 2009 B1
7624342 Matveyenko et al. Nov 2009 B2
7657594 Banga et al. Feb 2010 B2
7739007 Logsdon Jun 2010 B2
7747680 Ravikumar et al. Jun 2010 B2
7778841 Bayer et al. Aug 2010 B1
7801945 Geddes et al. Sep 2010 B1
7861309 Spearman et al. Dec 2010 B2
7865409 Monaghan Jan 2011 B1
7870253 Muilenburg et al. Jan 2011 B2
8019501 Breed Sep 2011 B2
8036788 Breed Oct 2011 B2
8051159 Muilenburg et al. Nov 2011 B2
8055544 Ullman et al. Nov 2011 B2
8209259 Graham, Jr. et al. Jun 2012 B2
8212667 Petite et al. Jul 2012 B2
8271473 Berg Sep 2012 B2
8271547 Taylor et al. Sep 2012 B2
8275717 Ullman et al. Sep 2012 B2
8355950 Colson et al. Jan 2013 B2
8438310 Muilenburg et al. May 2013 B2
8521654 Ford et al. Aug 2013 B2
8538894 Ullman et al. Sep 2013 B2
8645193 Swinson et al. Feb 2014 B2
8725341 Ogasawara May 2014 B2
8849689 Jagannathan et al. Sep 2014 B1
8886389 Edwards et al. Nov 2014 B2
9165413 Jones et al. Oct 2015 B2
9325650 Yalavarty et al. Apr 2016 B2
9577866 Rogers et al. Feb 2017 B2
9619945 Adderly et al. Apr 2017 B2
9754304 Taira et al. Sep 2017 B2
10032139 Adderly et al. Jul 2018 B2
10083411 Kinsey et al. Sep 2018 B2
20010005831 Lewin et al. Jun 2001 A1
20010037332 Miller et al. Nov 2001 A1
20010039594 Park et al. Nov 2001 A1
20010054049 Maeda et al. Dec 2001 A1
20020023111 Arora et al. Feb 2002 A1
20020024537 Jones et al. Feb 2002 A1
20020026359 Long Feb 2002 A1
20020032626 DeWolf et al. Mar 2002 A1
20020032701 Gao et al. Mar 2002 A1
20020042738 Srinivasan et al. Apr 2002 A1
20020046245 Hillar et al. Apr 2002 A1
20020049831 Platner et al. Apr 2002 A1
20020059260 Jas May 2002 A1
20020065698 Schick et al. May 2002 A1
20020065739 Florance et al. May 2002 A1
20020069110 Sonnenberg Jun 2002 A1
20020073080 Lipkin Jun 2002 A1
20020082978 Ghouri et al. Jun 2002 A1
20020091755 Narin Jul 2002 A1
20020107739 Schlee Aug 2002 A1
20020111727 Vanstory et al. Aug 2002 A1
20020111844 Vanstory et al. Aug 2002 A1
20020116418 Lachhwani et al. Aug 2002 A1
20020123359 Wei et al. Sep 2002 A1
20020124053 Adams et al. Sep 2002 A1
20020129054 Ferguson et al. Sep 2002 A1
20020138331 Hosea et al. Sep 2002 A1
20020143646 Boyden et al. Oct 2002 A1
20020154146 Rodriquez et al. Oct 2002 A1
20020169851 Weathersby et al. Nov 2002 A1
20020196273 Krause Dec 2002 A1
20020198761 Ryan et al. Dec 2002 A1
20020198878 Baxter et al. Dec 2002 A1
20030014443 Bernstein et al. Jan 2003 A1
20030023632 Ries et al. Jan 2003 A1
20030033378 Needham et al. Feb 2003 A1
20030036832 Kokes et al. Feb 2003 A1
20030036964 Boyden et al. Feb 2003 A1
20030037263 Kamat et al. Feb 2003 A1
20030046179 Anabtawi et al. Mar 2003 A1
20030051022 Sogabe et al. Mar 2003 A1
20030061263 Riddle Mar 2003 A1
20030065532 Takaoka Apr 2003 A1
20030069785 Lohse Apr 2003 A1
20030069790 Kane Apr 2003 A1
20030074392 Campbell et al. Apr 2003 A1
20030115292 Griffin et al. Jun 2003 A1
20030120502 Robb et al. Jun 2003 A1
20030145310 Thames et al. Jul 2003 A1
20030177050 Crampton et al. Sep 2003 A1
20030177175 Worley et al. Sep 2003 A1
20030225853 Wang et al. Dec 2003 A1
20030229623 Chang et al. Dec 2003 A1
20030233246 Snapp et al. Dec 2003 A1
20040012631 Skorski Jan 2004 A1
20040039646 Hacker Feb 2004 A1
20040041818 White et al. Mar 2004 A1
20040073546 Forster et al. Apr 2004 A1
20040073564 Haber et al. Apr 2004 A1
20040088228 Mercer et al. May 2004 A1
20040117046 Colle et al. Jun 2004 A1
20040128320 Grove et al. Jul 2004 A1
20040139203 Graham, Jr. et al. Jul 2004 A1
20040148342 Cotte Jul 2004 A1
20040156020 Edwards Aug 2004 A1
20040163047 Nagahara et al. Aug 2004 A1
20040181464 Vanker et al. Sep 2004 A1
20040199413 Hauser et al. Oct 2004 A1
20040220863 Porter et al. Nov 2004 A1
20040225664 Casement Nov 2004 A1
20040230897 Latzel Nov 2004 A1
20040255233 Croney et al. Dec 2004 A1
20040267263 May Dec 2004 A1
20040268225 Walsh et al. Dec 2004 A1
20040268232 Tunning Dec 2004 A1
20050015491 Koeppel Jan 2005 A1
20050065804 Worsham et al. Mar 2005 A1
20050108112 Ellenson et al. May 2005 A1
20050114270 Hind et al. May 2005 A1
20050114764 Gudenkauf et al. May 2005 A1
20050108637 Sahota et al. Jun 2005 A1
20050171836 Leacy Aug 2005 A1
20050187834 Painter et al. Aug 2005 A1
20050228736 Norman Oct 2005 A1
20050268282 Laird Dec 2005 A1
20050289020 Bruns et al. Dec 2005 A1
20050289599 Matsuura et al. Dec 2005 A1
20060031811 Ernst et al. Feb 2006 A1
20060059253 Goodman et al. Mar 2006 A1
20060064637 Rechterman et al. Mar 2006 A1
20060123330 Horiuchi et al. Jun 2006 A1
20060129423 Sheinson et al. Jun 2006 A1
20060129982 Doyle Jun 2006 A1
20060136105 Larson Jun 2006 A1
20060161841 Horiuchi et al. Jul 2006 A1
20060200751 Underwood et al. Sep 2006 A1
20060248442 Rosenstein et al. Nov 2006 A1
20060265355 Taylor Nov 2006 A1
20060271844 Suklikar Nov 2006 A1
20060277588 Harrington et al. Dec 2006 A1
20070005446 Fusz et al. Jan 2007 A1
20070016486 Stone et al. Jan 2007 A1
20070033520 Kimzey et al. Feb 2007 A1
20070053513 Hoffberg Mar 2007 A1
20070100519 Engel May 2007 A1
20070150368 Arora et al. Jun 2007 A1
20070209011 Padmanabhuni et al. Sep 2007 A1
20070250327 Hedy Oct 2007 A1
20070271154 Broudy et al. Nov 2007 A1
20070271330 Mattox et al. Nov 2007 A1
20070271389 Joshi et al. Nov 2007 A1
20070282711 Ullman et al. Dec 2007 A1
20070282712 Ullman et al. Dec 2007 A1
20070282713 Ullman et al. Dec 2007 A1
20070288413 Mizuno et al. Dec 2007 A1
20080015929 Koeppel et al. Jan 2008 A1
20080027827 Eglen et al. Jan 2008 A1
20080172632 Stambaugh Jul 2008 A1
20080189143 Wurster Aug 2008 A1
20080195435 Bentley et al. Aug 2008 A1
20080195932 Oikawa et al. Aug 2008 A1
20080201163 Barker et al. Aug 2008 A1
20090012887 Taub et al. Jan 2009 A1
20090024918 Silverbrook et al. Jan 2009 A1
20090043780 Hentrich, Jr. et al. Feb 2009 A1
20090070435 Abhyanker Mar 2009 A1
20090089134 Uyeki Apr 2009 A1
20090106036 Tamura et al. Apr 2009 A1
20090112687 Blair et al. Apr 2009 A1
20090182232 Zhang et al. Jul 2009 A1
20090204454 Lagudi Aug 2009 A1
20090222532 Finlaw Sep 2009 A1
20090265607 Raz et al. Oct 2009 A1
20090313035 Esser et al. Dec 2009 A1
20100082778 Muilenburg et al. Apr 2010 A1
20100082780 Muilenburg et al. Apr 2010 A1
20100088158 Pollack Apr 2010 A1
20100100506 Marot Apr 2010 A1
20100293030 Wu Nov 2010 A1
20100312608 Shan et al. Dec 2010 A1
20100324777 Tominaga et al. Dec 2010 A1
20110010432 Uyeki Jan 2011 A1
20110022525 Swinson et al. Jan 2011 A1
20110145064 Anderson et al. Jun 2011 A1
20110161167 Jallapuram Jun 2011 A1
20110191264 Inghelbrecht et al. Aug 2011 A1
20110224864 Gellatly et al. Sep 2011 A1
20120089474 Xiao et al. Apr 2012 A1
20120209714 Douglas et al. Aug 2012 A1
20120221125 Bell Aug 2012 A1
20120278886 Luna Nov 2012 A1
20130046432 Edwards et al. Feb 2013 A1
20130080196 Schroeder et al. Mar 2013 A1
20130204484 Ricci Aug 2013 A1
20130325541 Capriotti et al. Dec 2013 A1
20130332023 Bertosa et al. Dec 2013 A1
20140026037 Garb et al. Jan 2014 A1
20140088866 Knapp et al. Mar 2014 A1
20140229391 East et al. Aug 2014 A1
20140278805 Thompson Sep 2014 A1
20140324275 Stanek et al. Oct 2014 A1
20140379530 Kim et al. Dec 2014 A1
20150057875 McGinnis et al. Feb 2015 A1
20150066781 Johnson et al. Mar 2015 A1
20150100199 Kurnik et al. Apr 2015 A1
20150278886 Fusz Oct 2015 A1
20150286979 Ming et al. Oct 2015 A1
20160071054 Kakarala et al. Mar 2016 A1
20160140622 Wang et al. May 2016 A1
20160148439 Akselrod et al. May 2016 A1
20170124525 Johnson et al. May 2017 A1
Foreign Referenced Citations (2)
Number Date Country
2494350 May 2004 CA
0461888 Mar 1995 EP
Non-Patent Literature Citations (145)
Entry
Final Office Action dated Jul. 6, 2011, in U.S. Appl. No. 11/350,795, filed Jan. 24, 2003, 26 pgs.
Understanding X.500—The Directory. Chadwick, D.W. Available at http://sec.cs.kent.ac.uk/x500book/. 1996. Entire work cited.
Internet Archive Wayback Machine, archive of LDAP Browser.com—FAQ. Archived Dec. 11, 2000. Available at http://web.archive.org/web/200012110152/http://www.ldapbrowser.com/faq/faq.php3?sID=fe4ae66f2f023d86909f35e974f3a1ce.
Internet Archive Wayback Machine, archive of LDAP Browser.com—Product Info. Archived Dec. 11, 2000. Available at http://web.archive.org/web/200012110541/http:www.ldapbrowser.com/prodinfo/prodinfo.php3?sID=fe4ae66f2f023d86909f35e974f3a1ce.
Final Office Action for U.S. Appl. No. 14/208,042, filed Mar. 13, 2014, and dated Dec. 6, 2016, 26 pgs.
“NetFormx Offers Advanced Network Discovery Software”. PR Newswire. Mar. 15, 1999. Retrieved from http://www.highbeam.com/doc/1G1-54102907.html>.
Aloisio, Giovanni et al., “Web-based access to the Grid using the Grid Resource Broker portal,” Google 2002, pp. 1145-1160.
Anonymous, “Software ready for prime time.” Automotive News. Detroit, Nov. 5, 2001. vol. 76, Issue 5996, p. 28.
Chen, Deren, “Business to Business Standard and Supply Chain System Framework in Virtual Enterprises,” Computer Supported Cooperative Work in Design, The Sixth International Conference on, 2001; Publication Year: 2001, pp. 472-476.
CNY Business Journal, “Frank La Voila named Southern Tier Small-Business Person of 1999”. Jun. 11, 1999. 2 pgs.
Dallas Morning News, “I know someone who knows Kevin Bacon”. Oct. 27, 1998. 4 pgs.
Davis, Peter T. et al., “Sams Teach Yourself Microsoft Windows NT Server 4 in 21 Days,” Sams® Publishing, © 1999. ISBN: 0-672-31555-6, 15 pgs., printed Dec. 21, 2008.
Derfler, Frank J. et al., “How Networks Work: Millennium Edition,” Que, A Division of Macmillan Computer Publishing, © 2000. ISBN: 0-7897-2445-6, 9 pgs.
Final Office Action for U.S. Appl. No. 10/350,795, filed Jan. 24, 2003, and dated Mar. 3, 2010, 24 pgs.
Final Office Action for U.S. Appl. No. 10/350,810, filed Jan. 24, 2003, and dated Apr. 5, 2005, 12 pgs.
Final Office Action for U.S. Appl. No. 10/350,810, filed Jan. 24, 2003, and dated May 18, 2006, 15 pgs.
Final Office Action for U.S. Appl. No. 10/350,810, filed Jan. 24, 2003, and dated Nov. 14, 2007, 13 pgs.
Final Office Action for U.S. Appl. No. 10/351,465, filed Jan. 24, 2003, and dated May 5, 2005, 8 pgs.
Final Office Action for U.S. Appl. No. 11/149,909, filed Jun. 10, 2005, and dated Feb. 4, 2009, 14 pgs.
Final Office Action for U.S. Appl. No. 11/442,821, filed May 30, 2006, and dated Apr. 7, 2009, 19 pgs.
Final Office Action for U.S. Appl. No. 11/442,821, filed May 30, 2006, and dated May 21, 2010, 28 pgs.
Final Office Action for U.S. Appl. No. 11/442,821, filed May 30, 2006, and dated Nov. 29, 2011, 26 pgs.
Final Office Action for U.S. Appl. No. 11/524,602, filed Sep. 21, 2006, and dated Jul. 27, 2010, 11 pgs.
Final Office Action for U.S. Appl. No. 11/524,602, filed Sep. 21, 2006, and dated Jun. 26, 2012, 11 pgs.
Final Office Action for U.S. Appl. No. 12/243,852, filed Oct. 1, 2008, and dated Oct. 24, 2011, 13 pgs.
Final Office Action for U.S. Appl. No. 12/243,861, filed Oct. 1, 2008, and dated Jun. 22, 2011, 5 pgs.
Hogue et al., “Thresher: Automating the Unwrapping of Semantic Content from the World Wide Web,” ACM 2005, pp. 86-95.
Housel, Barron C. et al., “WebExpress: A client/intercept based system for optimizing Web browsing in a wireless environment,” Google 1998, pp. 419-431.
http://web.archive.org/web/20010718130244/http://chromedata.com/maing2/about/index.asp, 1 pg.
http://web.archive.org/web/20050305055408/http://www.dealerclick.com/, 1 pg.
http://web.archive.org/web/20050528073821/http://www.kbb.com/, 1 pg.
http://web.archive.org/web/20050531000823/http://www.carfax.com/, 1 pg.
IBM Tivoli Access Manager Base Administration Guide, Version 5.1. 2003, International Business Machines Corporation. Entire book enclosed and cited. 402 pgs.
Interconnection. (2003). In Roget's II The New Thesaurus. Boston, MA: Houghton Mifflin. Retrieved Jul. 16, 2009, from http://www.credoreference.com/entry/hmrogets/interconnection, 1 pg.
Internet Archive: Audio Archive, http://www.archive.org/audio/audio-searchresults.php?search=@start=0&limit=100&sort=ad, printed May 12, 2004, 12 pgs.
Internet Archive: Democracy Now, http://www.archive.org/audio/collection.php?collection=democracy_now, printed May 12, 2004, 2 pgs.
Java 2 Platform, Enterprise Edition (J2EE) Overview, printed Mar. 6, 2010, 3 pgs.
Java version history—Wikipedia, the free encyclopedia, printed Mar. 6, 2010, 9 pgs.
Michener, J.R., et al., “Managing System and Active-Content Integrity,” Computer; vol. 33, Issue: 7; Publication Year: 2000, pp. 108-110.
Milic-Frayling, Natasa, et al., “SmartView: Enhanced Document Viewer for Mobile Devices,” Google Nov. 15, 2002, 11 pgs.
Non-Final Office Action for U.S. Appl. No. 10/350,795, filed Jan. 24, 2003, and dated Dec. 26, 2008, 13 pgs.
Non-Final Office Action for U.S. Appl. No. 10/350,795, filed Jan. 24, 2003, and dated Feb. 6, 2006, 11 pgs.
Non-Final Office Action for U.S. Appl. No. 10/350,795, filed Jan. 24, 2003, and dated Jul. 22, 2009, 22 pgs.
Non-Final Office Action for U.S. Appl. No. 10/350,795, filed Jan. 24, 2003, and dated Jun. 29, 2006, 11 pgs.
Non-Final Office Action for U.S. Appl. No. 10/350,795, filed Jan. 24, 2003, and dated Mar. 12, 2007, 10 pgs.
Non-Final Office Action for U.S. Appl. No. 10/350,795, filed Jan. 24, 2003, and dated May 29, 2008, 10 pgs.
Non-Final Office Action for U.S. Appl. No. 10/350,795, filed Jan. 24, 2003, and dated Nov. 1, 2010, 19 pgs.
Non-Final Office Action for U.S. Appl. No. 10/350,796, filed Jan. 24, 2003 and dated May 19, 2005, 7 pgs.
Non-Final Office Action for U.S. Appl. No. 10/350,810, filed Jan. 24, 2003, and dated Apr. 17, 2007, 12 pgs.
Non-Final Office Action for U.S. Appl. No. 10/350,810, filed Jan. 24, 2003, and dated Dec. 9, 2005, 14 pgs.
Non-Final Office Action for U.S. Appl. No. 10/350,810, filed Jan. 24, 2003, and dated Sep. 22, 2004, 10 pgs.
Non-Final Office Action for U.S. Appl. No. 10/351,465, filed Jan. 24, 2003, and dated Jul. 27, 2004, 9 pgs.
Non-Final Office Action for U.S. Appl. No. 10/351,606, filed Jan. 24, 2003, and dated Dec. 19, 2005, 8 pgs.
Non-Final Office Action for U.S. Appl. No. 10/351,606, filed Jan. 24, 2003, and dated May 17, 2004, 6 pgs.
Non-Final Office Action for U.S. Appl. No. 11/149,909, filed Jun. 10, 2005, and dated May 13, 2008, 14 pgs.
Non-Final Office Action for U.S. Appl. No. 11/149,909, filed Jun. 10, 2005, and dated May 6, 2009, 6 pgs.
Non-Final Office Action for U.S. Appl. No. 11/414,939, filed May 1, 2006, and dated Jul. 19, 2010, 7 pgs.
Non-Final Office Action for U.S. Appl. No. 11/414,939, filed May 1, 2006, and dated Mar. 9, 2010, 11 pgs.
Non-Final Office Action for U.S. Appl. No. 11/442,821, filed May 30, 2006, and dated Jun. 1, 2011, 23 pgs.
Non-Final Office Action for U.S. Appl. No. 11/442,821, filed May 30, 2006, and dated Nov. 12, 2009, 19 pgs.
Non-Final Office Action for U.S. Appl. No. 11/442,821, filed May 30, 2006, and dated Sep. 3, 2008, 14 pgs.
Non-Final Office Action for U.S. Appl. No. 11/524,602, filed Sep. 21, 2006, and dated Nov. 14, 2011, 19 pgs.
Non-Final Office Action for U.S. Appl. No. 11/525,009, filed Sep. 21, 2006, and dated Aug. 10, 2011, 18 pgs.
Non-Final Office Action for U.S. Appl. No. 11/525,009, filed Sep. 21, 2006, and dated Dec. 16, 2009, 20 pgs.
Non-Final Office Action for U.S. Appl. No. 12/243,852, filed Oct. 1, 2008, and dated Jan. 16, 2013, 5 pgs.
Non-Final Office Action for U.S. Appl. No. 14/208,042, filed Mar. 13, 2014, and dated Jun. 30, 2016, 23 pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 10/350,795, filed Jan. 24, 2003, and dated May 7, 2012, 15 pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 10/350,796, filed Jan. 24, 2003 and dated Feb. 1, 2006, 5 pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 10/350,810, filed Jan. 24, 2003, and dated Apr. 14, 2008, 6 pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 10/351,465, filed Jan. 24, 2003, and dated Sep. 21, 2005, 4 pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 10/351,606, filed Jan. 24, 2003 and dated Apr. 4, 2006, 8 pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 10/351,606, filed Jan. 24, 2003, and dated Apr. 4, 2006, 12 pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 11/149,909, filed Jun. 10, 2005, and dated Sep. 16, 2009, 7 pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 11/414,939, filed May 1, 2006, and dated Nov. 2, 2010, pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 11/442,821, filed May 30, 2006, and dated Jul. 30, 2012, 6 pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 11/446,011, filed Jun. 2, 2006, and dated Aug. 9, 2011, 10 pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 11/524,602, filed Sep. 21, 2006, and dated Aug. 6, 2013, 22 pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 11/525,009, filed Sep. 21, 2006, and dated Jul. 23, 2012, 19 pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 12/243,852, filed Oct. 1, 2008, and dated Feb. 27, 2013, 6 pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 12/243,855, filed Oct. 1, 2008, and dated Oct. 28, 2010, 5 pgs.
Notice of Allowance and Fee(s) Due for U.S. Appl. No. 12/243,861, filed Oct. 1, 2008, and dated Sep. 6, 2011, 10 pgs.
Notice of Non-compliant Amendment dated Dec. 12, 2006 in U.S. Appl. No. 10/350,810.
Permissions in the Java™ 2 SDK, printed Mar. 6, 2010, 45 pgs.
Restriction Requirement for U.S. Appl. No. 12/243,852, filed Oct. 1, 2008, and dated Dec. 7, 2010.
Strebe, Matthew et al. MCSE: NT Server 4 Study Guide, Third Edition. 2000, SYBEX Inc. Front matter, pp. 284-293, and 308-347 are included. Entire book cited, 36 pgs.
Supplemental Notice of Allowability for U.S. Appl. No. 12/243,852, filed Oct. 1, 2008, and dated Mar. 19, 2013, 3 pgs.
Trademark Electronic Search System record for Serial No. 76375405, Word Mark “NITRA”.
Lee, Adam J. et al., “Searching for Open Windows and Unlocked Doors: Port Scanning in Large-Scale Commodity Clusters,” Cluster Computing and the Grid, 2005. CCGrid 2005. IEEE International Symposium on vol. 1; Publication Year: 2005,, pp. 146-151 vol. 1.
Advisory Action for U.S. Appl. No. 15/602,999, filed May 23, 2017, and dated Jan. 31, 2019, 3 pgs.
Non-Final Office Action for U.S. Appl. No. 15/134,779, filed Apr. 21, 2016, and dated Jan. 30, 2019, 26 pgs.
Non-Final Office Action received in U.S. Appl. No. 15/134,793, filed Apr. 21, 2016, dated Jan. 30, 2019, 26 pgs.
“An Appointment with Destiny—The Time for Web-Enabled Scheduling has Arrived”, Link Fall, 2007, 2 pages.
“How a Solution found a Problem of Scheduling Service Appointments”, Automotive News, 2016, 4 pages.
“Service Advisor”, Automotive Dealership Institute, 2007, 26 pages.
“XTime.com Web Pages”, Jan. 8, 2015, 1 page.
“XTimes Newsletter”, vol. 7, 2013, 4 pages.
U.S. Appl. No. 15/134,820, Notice of Allowance, dated Jan. 28, 2019, 7 pages.
Croswell, “Service Shop Optimiztion”, Modern Tire Retailer, May 21, 2013, 7 pages.
Emmanuel, “Basics to Creating an Appointment System for Automotive Service Customers”, Automotiveservicemanagement.com, 2006, 9 pages.
U.S. Appl. No. 15/602,999, Notice of Allowance, dated Apr. 18, 2019, 6 pages.
Office Action dated Sep. 17, 2007 in U.S. Appl. No. 10/665,899, filed Sep. 18, 2003.
Office Action dated Jul. 7, 2008 in U.S. Appl. No. 10/665,899, filed Sep. 18, 2003.
Office Action dated Nov. 13, 2008 in U.S. Appl. No. 10/665,899, filed Sep. 18, 2003.
Office Action dated May 11, 2009 in U.S. Appl. No. 10/665,899, filed Sep. 18, 2003.
Office Action dated Sep. 14, 2009 in U.S. Appl. No. 10/665,899, filed Sep. 18, 2003.
Office Action dated Nov. 27, 2009 in U.S. Appl. No. 11/446,011, filed Jun. 2, 2006.
Office Action dated Dec. 11, 2009 in U.S. Appl. No. 11/524,602, filed Sep. 21, 2006.
Office Action dated Dec. 16, 2009 in U.S. Appl. No. 11/525,009, filed Sep. 21, 2006.
Office Action dated Feb. 24, 2010 in U.S. Appl. No. 10/665,899, filed Sep. 18, 2003.
Office Action dated Jun. 8, 2010 in U.S. Appl. No. 11/446,011, filed Jun. 2, 2006.
Office Action dated Jul. 27, 2010 in U.S. Appl. No. 11/524,602, filed Sep. 21, 2006.
Office Action dated Aug. 4, 2010 in U.S. Appl. No. 11/525,009, filed Sep. 21, 2006.
Office Action dated Aug. 30, 2010 in U.S. Appl. No. 10/665,899, filed Sep. 18, 2003.
Office Action dated Oct. 14, 2010 in U.S. Appl. No. 12/243,855, filed Oct. 1, 2008.
Office Action dated Nov. 8, 2010 in U.S. Appl. No. 12/243,861, filed Oct. 1, 2008.
Notice of Allowance dated Nov. 22, 2010 in U.S. Appl. No. 12/243,855, filed Oct. 1, 2008.
Office Action dated Mar. 1, 2011 in U.S. Appl. No. 11/446,011, filed Jun. 2, 2006.
Office Action dated Mar. 8, 2011 in U.S. Appl. No. 10/665,899, filed Sep. 18, 2003.
Office Action dated Mar. 17, 2011 in U.S. Appl. No. 12/243,852, filed Oct. 1, 2008.
U.S. Appl. No. 15/134,779, Advisory Action, dated Jul. 29, 2019, 6 pages.
U.S. Appl. No. 15/134,793, Advisory Action, dated Jul. 29, 2019, 6 pages.
Advisory Action for U.S. Appl. No. 14/208,042, filed Mar. 13, 2014, and dated Jul. 12, 2018.
Final Office Action for U.S. Appl. No. 14/208,042, filed Mar. 13, 2014, and dated Jan. 11, 2019 , 16 pgs.
Final Office Action for U.S. Appl. No. 14/208,042, filed Mar. 13, 2014, and dated Apr. 16, 2018.
Trademark Application, Serial No. 76375405. 13 pages of advertising material and other application papers enclosed.
Non-Final Office Action for U.S. Appl. No. 14/208,042, filed Mar. 13, 2014, and dated Sep. 20, 2017.
Non-Final Office Action for U.S. Appl. No. 14/208,042, filed Mar. 13, 2014, and dated Sep. 21, 2018.
Non-Final Office Action for U.S. Appl. No. 15/602,999, filed May 23, 2017, and dated May 3, 2018.
Non-Final Office Action dated Oct. 6, 2017 in U.S. Appl. No. 13/025,019.
Internet Archive Dan Gillmor Sep. 1, 1996.
“Openbay Announces First-of-its-Kind Connected Car Repair Service”, openbay.com, Mar. 31, 2015, 14 pages.
U.S. Appl. No. 15/134,779, Final Office Action, dated May 17, 2019, 25 pages.
Chatterjee, et al., “On-board diagnostics not just for racing anymore”, EDN.com, May 6, 2013, 7 pages.
Drawbaugh, “Automatic Link Review: an expensive way to learn better driving habits”, Endgadget.com, Nov. 26, 2013, 14 pages.
Jenkins, “Real-time vehicle performance monitoring with data intergrity”, A Thesis Submitted to the Faculty of Mississippi State University, Oct. 2006, 57 pages.
Lavrinc, “First Android-powered infotainment system coming to 2012 Saab 9-3”, Autoblog.com, Mar. 2, 2011, 8 pages.
Needham, “Google Now Taking Appointments for Auto Repair Shops”, Autoshopsolutions.com, Aug. 25, 2015, 6 pages.
openbay.com Web Pages, Openbay.com, retrieved from archive.org May 14, 2019, Apr. 2015, 6 pages.
openbay.com Web Pages, Openbay.com, retrieved from archive.org on May 14, 2019, Feb. 2014, 2 pages.
openbay.com Web Pages, Openbay.com, retrieved from archive.org, May 14, 2019, Mar. 2015, 11 pages.
Phelan, “Smart phone app aims to automate car repairs”, Detroit Free Press Auto Critic, Mar. 31, 2015, 2 pages.
Pubnub Staff, “Streaming Vehicle Data in Realtime with Automatic (Pt 1)”, Pubnub.com, Aug. 17, 2015, 13 pages.
Warren, “This Device Determines What Ails Your Car and Finds a Repair Shop—Automatically”, CarAndDriver.com, Apr. 8, 2015, 7 pages.
You, et al., “Overview of Remote Diagnosis and Maintenance for Automotive Systems”, 2005 SAE World Congress, Apr. 11-14, 2015, 10 pages.
U.S. Appl. No. 15/134,793, Final Office Action, dated May 13, 2019, 26 pages.
Related Publications (1)
Number Date Country
20120209714 A1 Aug 2012 US