System and methods for electronic commerce using personal and business networks

Information

  • Patent Grant
  • 10853891
  • Patent Number
    10,853,891
  • Date Filed
    Tuesday, October 31, 2017
    7 years ago
  • Date Issued
    Tuesday, December 1, 2020
    4 years ago
Abstract
Electronic commerce over a publicly accessible computer network such as the Internet is facilitated and leveraged by a computer system that forms a community of computer user parties based on personal and business connections of the parties involved. Personal connections are created between users by invitation and mutual acceptance. Business connections are created between users when a transaction takes place between those users. Users search to perform any one or more of a variety of actions such as to purchase products, browse departments and categories for purchasing products, or explore the connections between the parties involved to find items to buy. Different groupings of the parties involved may be the users themselves and other buyers/sellers in the business network, the users themselves and their friends in the personal networks, or some combination of buyers/sellers and friends from each of the types of networks. A computer or server at a site in the network implements an architecture whereby various pages viewed by a user have links to enable them to find products.
Description
STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT

Not Applicable.


BACKGROUND OF THE INVENTION
1. Technical Field

The present invention relates in general to electronic commerce and, in particular, to networks for facilitating electronic commerce. Still more particularly, the present invention is directed to systems, software, and methods for Internet commerce that is facilitated and leveraged by the personal and business connections of the parties involved, and allowing users to explore the connections among themselves and other buyers and sellers, and rating the performance of such transactions.


2. Description of the Related Art

Commercial transactions conducted through electronic communication (e.g., via the World Wide Web (the Web)), commonly known as “e-commerce”, are a significant segment of the global economy. In a typical e-commerce transaction, a desktop or laptop computer user decides upon a good or service that the user is interested in purchasing. The user then initiates access to a retailer's or service provider's e-commerce website via the Web, perhaps after conducting a search for the website with a commercial search engine.


After the desired e-commerce website is located, the user searches the website for the desired good or service, either by conducting a search of the website or by paging through the website content. The user may then add the desired product or service to a virtual “shopping cart” that collects the user's intended purchases by selecting a graphical “button” associated with a graphical or textual description of the good or service. After the user indicates that all intended purchases have been added to the virtual “shopping cart,” the e-commerce website presents to the user a form into which the user enters and transmits payment information (e.g., credit card information). Once the payment information is approved, the website presents to the user a confirmation that transaction is complete and may indicate a delivery schedule or methodology.


There have been many attempts to join buyers and sellers, and to provide information about them to each other for purposes of enhancing e-commerce. For example, some websites provide an enhanced user rating service for online business transactions. Buyers and sellers rate other buyers and sellers with whom they do business, and provide prospective users with information they can use when deciding when to do business with another user. Objective criteria, such as credit information, is combined with subjective ratings to create a user profile. Objective criteria is also used to supplement user ratings to treat new users more fairly and prevent participants from engaging in collusion to inflate their ratings. The user profile may be shared among online services, so that a user's aggregate transaction and ratings history may be utilized at a number of websites.


Some websites provide friendship networking that allows users to meet new people, to date through friends and their friends, make new friends, and help friends meet new people. After the creation of a user profile, they enhance the formation of a personal and private community where people interact to view photos, profiles, connections to other people, send messages, ask for introductions, or suggest matches between people.


Another system provides product recommendations over an e-commerce network based on customer user browsing or purchasing behavior. The system derives product characterizations for products offered at an e-commerce site based on text descriptions of the products provided at the site. A customer characterization is generated for any customer browsing the e-commerce site. The customer characterizations include aggregation of derived product characterizations associated with products bought and/or browsed by that customer. A peer group is formed by clustering customers having similar customer characterizations. Recommendations are then made to a customer based on the processed characterization and peer group data.


Yet another website includes searching a database for data on previous sales of similar items at online commerce websites. Using this data, the seller gets a recommendation about the best way to sell the item. If data about similar items are not available in the database, the method allows the seller to start an agent program that will search various sites for the data over a period of time.


Still another system provides samples to users in exchange for feedback that is provided to subsequent users considering purchasing the product. Products available for purchase from an e-commerce site are provided for a sampling program to users. A predetermined number of users are allowed to sample the product. Feedback from the users is solicited and tracked to provide additional information to the seller and/or potential customers. In addition, some websites register, store, and manage a user's unique authentication credentials, such as user names, passwords, and other personal information, over a network, and for allowing users to link to and log onto other websites using the authentication credentials.


Although each of these solutions has some usefulness, their shortcomings collectively represent significant impediments to the conduct of e-commerce, which are addressed and overcome by the present invention.


SUMMARY OF THE INVENTION

One embodiment of the present invention relates to a system and methods for electronic commerce using personal and/or business networks to create a community of interconnected sellers, such as for rating or the performance of other product and/or service (hereinafter, “products”) sellers. Embodiments of the present invention also include a computer readable medium containing a set of instructions or program causing the computer system to facilitate according to the present invention, and a database of personal networks and business networks formed by users of the computer system. For example, in an embodiment of the present invention, an auction or other e-commerce website allows registrants of the site to “invite” others to join their “personal network” or “business network” to leverage the personal and business connections of the parties involved. The invitees, if not already registered, can come to the auction or other e-commerce website and create an account or register. An invitee, whether having newly created an account or having a preexisting account, then receives a confirmation of their association with the inviter.


Once the site receives the confirmation, both registrants are members of one another's personal network or business network. Members of a registrant's network rate those in their personal or business networks and write personal reviews of them or their transaction. Users with whom a registrant communicates or transacts business also becomes part of that registrant's business network. Such communications or transactions include buying from one another, selling to one another, and other types of business transactions.


In addition, users can perform keyword searches of the site or browse taxonomy to find products in which the users are interested in viewing or buying, as in traditional Internet auction or other e-commerce model. Then, from a product page, users can browse a registrant's personal and business network. If the user is registered and logged in, the user/registrant can choose to see the degrees of separation between themselves and the registrant selling the items. This shows them through whom they are connected to the selected registrant.


Selecting a node of a registrant's personal or business network displays their personal ratings and performance ratings, their corresponding personal or business network, and links to items that registrant is selling. In this way, a user can browse through networks of interconnected users to explore, for example, performance history, reputation, personality, and product offerings. This embodiment of the invention allows users to search for items at an auction-type or other type of e-commerce site in the classic way, with keywords, as well as explore friends' and associates' networks to search for items. This can be implemented on any consumer-to-consumer, business-to-business, or business-to-consumer Internet site.


As an illustration, if User A is attempting to purchase products or services from User C, User A is able to view how he or she is connected to User C. If Users A and C have performed a business transaction with User B, then Users A and C can see that User B connects them together. Users A and C can see how the other's transactions with User B were rated. Users A and C also can contact User B with questions about past transactions or contact each other.


The foregoing and other objects and advantages of the present invention will be apparent to those skilled in the art, in view of the following detailed description of the present invention, taken in conjunction with the appended claims and the accompanying drawings.





BRIEF DESCRIPTION OF THE DRAWINGS

So that the manner in which the features and advantages of the invention, as well as others which will become apparent are attained and can be understood in more detail, more particular description of the invention briefly summarized above may be had by reference to the embodiment thereof which is illustrated in the appended drawings, which drawings form a part of this specification. It is to be noted, however, that the drawings illustrate only an embodiment of the invention and therefore are not to be considered limiting of its scope as the invention may admit to other equally effective embodiments.



FIG. 1 is a high level block diagram of an illustrative e-commerce environment in which the present invention may be practiced;



FIGS. 2A-2C are a high level logical flowchart of one embodiment of an overall, illustrative process constructed in accordance with the present invention;



FIG. 3 is a schematic diagram of one embodiment of a user's personal and e-commerce business networks and is constructed in accordance with the present invention;



FIG. 4 is a schematic diagram of one embodiment of multiple users interconnections and is constructed in accordance with the present invention;



FIG. 5 is a high level logical flowchart of one embodiment of personal and business networks and is constructed in accordance with the present invention;



FIG. 6 is a schematic representation of a webpage for the personal and business e-commerce networks of FIG. 5, and is constructed in accordance with the present invention;



FIG. 7 is a high level logical flowchart of one embodiment of a process for browsing the personal and business e-commerce networks of FIGS. 5 and 6, and is constructed in accordance with the present invention;



FIG. 8 is a schematic representation of a webpage for the browsing process of FIG. 7, and is constructed in accordance with the present invention;



FIG. 9 is a high level logical flowchart of one embodiment of a process for summarizing a community of users in the personal and business e-commerce networks of FIGS. 5 and 6, and is constructed in accordance with the present invention;



FIG. 10 is a schematic representation of a webpage for the summarizing process of FIG. 9, and is constructed in accordance with the present invention;



FIGS. 11-13 are block diagrams of one embodiment of a computer-implemented method constructed in accordance with the present invention;



FIG. 14 is a schematic representation of a registration webpage and is constructed in accordance with the present invention;



FIG. 15 is a schematic representation of a search webpage and is constructed in accordance with the present invention; and



FIG. 16 is a schematic representation of a browse webpage and is constructed in accordance with the present invention.





DETAILED DESCRIPTION

The present invention will now be described more fully hereinafter with reference to the accompanying drawings, which illustrate embodiments of the invention. This invention may, however, be embodied in many different forms and should not be construed as limited to the illustrated embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.


With reference now to the figures, and in particular with reference to FIG. 1, there is illustrated an exemplary e-commerce environment in accordance with the present invention. Embodiments of the present invention advantageously provide a system and methods for facilitating e-commerce on the Web. Embodiments of the present invention also include a computer readable medium containing a set of instructions or program causing the computer system to facilitate according to the present invention, and a database of personal networks and business networks formed by users of the computer system.


The system 30 includes a computer system positioned at a site to define a server or server module 31. In one embodiment, the server 31 is actually a module having two separate types of machines, in order to provide processing/server capability for two functionalities. One of these functionalities is that of web/application processing, and the other is that of database processing. The web/application requirements functionality of the server 31 is furnished by a web/application server. Suitable units for this purpose are in the form of an appropriate number of Dell 1750 servers with dual CPUs, 1 GB RAM, and mirrored hard drives. The web/application servers are connected to a database server or server cluster which provides the database functionality. Database servers suitable for this purpose are, for example, Dell 2650 servers with dual CPU and 10 GB RAM. The database servers of server module 31 are attached to a high performance storage device, as will be described.


The set of instructions 37 also causes the processor to form and forward for retention and further use a set of database records 39. A graphical display 41 is coupled to the processor 33 for displaying graphical images 43, and a user interface 45 coupled to the processor 33 to provide a user access to manipulate the software 37 and database records 39. An embodiment of the present invention also advantageously provides software stored on storage media 42.


It should be understood that the preferred specific server identified above is given by way of example and that other types of servers or computers may be used. The server shown schematically at 31 represents a server or server cluster or server farm in the architecture and is not limited to any individual physical server. The server site may be deployed as a server farm or server cluster managed by a serving hosting provider. The number of servers and their architecture and configuration may be increased based on usage, demand and capacity requirements for the system 30.


The system 30 further includes in database 47 or a set or grouping of databases stored in the memory of the server 31 or in other suitable data storage media accessible to the server 31. The database 47 may also be provided in the form of a database server or server cluster. The particular database configuration is replicated based on capacity requirements for the system 30. The database 47 or databases further include at least a plurality of records 39 having data relating to the users and to the personal networks and business networks formed by users of the computer system. The system 30 further includes software 37 stored in memory 35 of the server 31 to process information within the system 30. The software 37 allows the server 31 to interface with users and generally allows the users to operate the computer system 30 according to the present invention for electronic commerce using personal and/or business networks to create a community of interconnected sellers, such as for rating or the performance of other product and/or service (hereinafter, “products”) sellers. The software instructions 37 allow a user to inquire about data or information from database 37 or the system 30.


The software or set of instructions 37 according to the present invention may be stored in a machine-readable storage medium, such as, but not limited to, any type of computer data storage disk including floppy disks, CD-ROMs, optical disks, magneto-optical disks, read-only memories (or ROMs), EPROMs, EEPROMs, random access memories (RAMs), magnetic or optical cards, or other types of media suitable for storage of a set of instructions that, when executed by the server 31, cause the server to perform the operations of the present invention.


The program set of instructions described in the present invention are not inherently related to or required by a particular computer or other server hardware. Various conventional computers or servers may be used according to the present invention. In addition, the present invention is not described with reference to any particular programming language. It will be understood that a variety of programming languages may be used to implement the system and method of the present invention as described herein.


In an embodiment of the present invention, the system 30 interfaces the area network or Internet 51 by communicating through the server 31, and a plurality of remote user computers 53 in communication with the Internet 51, positioned remote from the server 31 at a user site, and positioned to access the server 31. The user computer 53 is typically a personal computer and may be connected over the Internet through a variety of configurations, such as through a stand-alone computer with individual access, or though a local area network (LAN) or wide area network (WAN). Access to the server 30 by the user computers may be made by a variety of communication links such optical cable, a wireless network such as a cellular network, satellite network or other access media.


When in communication with the server 31 through the Internet 51, the remote user computer 53 can access the software 37 for various purposes. The remote user computer 53 can retrieve records 39 from the server database 47 for display and user manipulation. The system 30 can also include still other devices 55, such as a portable computer, a PDA, a mobile telephone, and still other devices for accessing the Web, that are adapted to interface with the Internet 51 while positioned remote from the server 31.


Referring now to FIGS. 2-16, an embodiment of facilitating electronic commerce according to the present invention first comprises one or more users entering from a user computer 53, as depicted in FIG. 2A at step 201, a website such as that provided by server 31 of system 30. If one or more of the users are not registered with the website, they must first register (step 203). Registration permits the users to set up a home page 200 and join the communications network and be electronically interconnected as part of system 30 to define a community of users. One example of a web page (hereinafter, page) for registering users is illustrated in FIG. 14.


Registration involves entering a variety of personal information, such as contact information 2201, security information 2103, and preferences. As will be described in much greater detail below, registration also permits users to have their own personal networks and business networks. Users may set up an identifying profile with preferences that is unique to the users. For example, users have the ability to designate a number of parameters, such as:

    • “I am primarily”- to indicate whether the user is a buyer, a seller, a mix of both, or just browsing;
    • “Things I usually sell”—a free form text field allowing the user to identify such things;
    • “Things I like to buy”—a free form text field allowing the user to identify such things;
    • “Other interests”—a free form text field for the user to make general comments;
    • “My shipping policy”- to indicate and permit a user/seller option to select carriers; once selected, the appropriate shipping methods related to the carriers are displayed; and the user may then indicate the methods that are accepted for use;
    • “My payment policy”- to indicate and permit a seller to select from a list of common payment methods; and
    • “My returns policy”—a free form text field for a user's statement of returns policy. Image upload—in addition, users are provided with the capability by which they can upload images to represent their profile.


As depicted at steps 205 and 207 (FIGS. 2A and 14-16), the method further comprises users performing, for example, keyword searches or browsing taxonomy, respectively, of other users' networks and data contained in database 47 within the community to locate products or services from a product list 209 from database 47 in which the users are interested in electronic commerce. A product detail page 211 from database 47 may be selected from the product list 209. Examples of pages presented at a user's display 41 for searching step 205 and browsing step 207 are illustrated in FIGS. 15 and 16.


As shown schematically in FIGS. 3 and 4, users may establish networks of personal and business relationships. A business network shown schematically at 301 is a group of business relationships in the community of users that engage in electronic commerce. Electronic commerce comprises, for example, at least one or more of a number of electronic commerce transactions, such as buying goods, selling goods, buying services, or selling services. A personal network shown schematically at 303 is a group of personal relationships in the community of users that engage one another through personal, typically non-commercial electronic interaction with other users.


The personal network 303 may be separate from the business network 301, or there may be overlap between the two such that at least one other user is in both networks 301, 303, as shown in FIG. 3. In this context, the term “separate” may be interpreted as, for example: (a) no user is a member of both the business and personal networks of another user, or (b) the business and personal networks are individually maintained as unique entities of a user, but the user may allow at least one other user to be in both of his or her networks as shown in FIG. 3.


In one embodiment, a page (FIG. 8) for the business network 301 of each registered user displays at least one or more of his or her business relationships with other people. This page displays thumbnail images and profile names of at least one or more of the people that a user has either sold to, purchased from, or both, as shown at step 241 in FIG. 2C. Inquiring users may use links to go to other user's home page at step 253, or view the next node of the displayed network during step 255.


Additionally, the business network page may show how the business relationships are interconnected (step 243) to one another (see FIG. 10) through “degrees of separation” or connection 1001 between the users. As shown in FIG. 9, the computer system 30 automatically “solves” for the connection 1001 and graphically displays it to the inquiring user. Viewing step 243 (FIG. 2C) also permits users to inquire at step 247 about intermediate users or select other users at step 249.


A similar page for the personal network 303 of each registered user displays the friends of that user, such as persons with whom the user has some relation, experience or affiliation, as shown at step 221 in FIG. 2B. Friends may be defined as people with whom a user has a personal, non-commercial relationship based on one or more non-commercial interactions. Each friend has associated as part of the personal network database his or her own user name and thumbnail image. Any user in the community may view any of another user's friend's profile (step 223) by simply clicking on a friend's image, name link, or the next node (step 225).


Thus, users within the community with whom a user communicates with or transacts business become part of either the user's personal or business network. However, if desired, in one embodiment (see FIG. 4), users must mutually agree as indicated schematically at 401 that they are in each other's network(s) by replying with a positive response to an invitation 403 or request to join. A negative response as shown schematically at 405 to the invitation as indicated at 403 does not consummate a network relationship.


For example, a first user within the community invites as shown at 403 (also step 213 in FIG. 2A) a second user within the community to join either the first user's personal network 303 (FIG. 3) or the first user's business network 301 so that the first user can leverage the personal and business relationships of the second user, or just meet new people with similar interests (step 229 in FIG. 2B) by viewing user lists 231 from database 47. If the second user accepts as shown at 401, a confirmation as indicated at 407 is sent at least to the invited second user (or both) of association with the first user that invited the second user. Both the first user and the invited second user are then members of one another's joined personal network or business network responsive to receipt of the confirmation as shown schematically at 407. If an invited user is not already registered in the community, the invited user is allowed to register and participate in the community as described above.


In addition, users may from their computer 53 browse data in database 47 and use the community of other users' personal and business networks (FIGS. 5 and 7) to organize and participate in many different types of activities and transactions. For example, a user may organize an on-line auction. A page constructed in accordance with the present invention summarizes and displays the auction interactions, such as items that the user is: watching and bidding on; items the user has won or not won; and items the user is selling, sold, and not sold, and pending items. Each page also has a “browse button” that allows users to browse with their computers 53 through various categories, and an “advanced search” feature that gives users the ability to narrow their search (see, e.g., FIGS. 15 and 16). The business network 301 also allows users to create listings for products or services in database 47 which they wish to sell or buy (steps 215, 217, respectively, in FIG. 2A), or to view such sales at step 218, and to allow users to interface at step 219. Users may perform browse step 216 and search step 220 from their computers 53 for a list of such sales resulting from sales step 218 at will.


The method of the present invention also permits a user to make ratings of those in the user's networks. For example, business ratings (step 245 of FIG. 2C) of electronic commerce with other users step indicated at 251 within the community are made and entered in database 47 thus are viewable (as shown in FIG. 8) for the business network, and personal ratings (step 227 of FIG. 2B) of personal, non-commercial electronic interactions with other users within the community are made and entered in database 47 for the personal network (as shown in FIG. 6). In one embodiment (FIGS. 6 and 8) of pages, each of the business ratings 601 and personal ratings 603 comprises both qualitative assessments responsive to textual or graphic comments for describing users within the respective business network and personal network, and quantitative assessments responsive to a relative scale for comparing users within the respective business network and personal network.


For example, users that buy goods or services (i.e., buyers) are encouraged to rate the users they purchased from (i.e., sellers). In one embodiment, buyers may rate their sellers by assigning an integer rating from, for example, −2 to +2, a positive feedback percentage, etc., and by entering comments into a free form text field. Commerce ratings may accumulate on a rolling interval of interest, such as a 12-month basis, and include options to view past ratings in a variety of formats (e.g., monthly, etc.). A user must buy from a seller in order to be able to rate the seller, and must be logged in to submit a rating. A buyer will be given a limited period of time (e.g., 90 days) from the date of purchase to submit a rating and/or comments, and the comments are not screened.


In their personal networks, users rate each personal interaction based on a relative scale (e.g., some suitable number of stars on a 0 to 5 star scale). Additionally, users may insert comments about people they rate. Users may rate one another as many times and as often as desired, but multiple comments preferably do not overwrite previously written comments. However, in one embodiment, each user must set up a profile to give another user a personal rating. In addition, a user must be another user's friend (e.g., mutually accepted acknowledgment) to give them a personal rating. In one embodiment, each user also has a personal testimonial page that displays feedback (e.g., ratings and comments) from his or her friends.


Another component of the present invention is sharing the business network, the business ratings, the personal network, and the personal ratings among the plurality of users within the community. For example, a third party user may browse another user's personal network and business network. If the third party user is registered in the community, and the third party user and the other user share at least one other user that is in at least one of both the third party user's and said another user's networks, then the third party user is allowed certain capabilities. For example, the third party user is permitted to see users within the community that link the third party user and the other user, thereby indicating to the third party user how the third party user is connected to the other user.


In one embodiment, links are provided for graphically illustrating a user's networks to users within the community. Selecting one of the users responsively displays the personal and business networks, the ratings, and links to either products or services being offered for sale of the selected one of the users so that a user can browse the networks of interconnected users. In addition, the present invention comprises organizing and/or participating in exchanges, such as business transactions or personal events. The exchanges are formed by selecting users from other users' respective business or personal networks within the community.


Referring now to FIGS. 11-13, one embodiment of a computer-implemented method with the computer system 30 of facilitating electronic commerce over a publicly accessible computer network is shown. The computer-implemented method is shown as a sequence of steps which are, however typically performed on a multitasking basis. The method starts at step 1100 and progresses to a step of registering users (such as shown at step 1101) on the computer system 30 at database 47 to provide a community of electronically interconnected users. This results, as discussed above, in a community of user computers as shown in FIGS. 3 and 4. As illustrated at step 1103, a business network of business relationships as shown schematically at 301 for the community of electronically interconnected users is established at the computer system 30 in the database 47 based on electronic commerce transactions through the computer system 30 with other users of the community. Business ratings of the users in the community of electronically interconnected users are received at the computer server 31, as depicted at step 1105. The computer-implemented method forms a record and stores in database 47 the business ratings received from the users of the community of electronically interconnected users (step 1107). The received and stored record of the business ratings available is made available to the users of the community of electronically interconnected users on request from one of the users of the community of electronically interconnected users (step 1109).


As illustrated at step 1111, a personal network of personal relationships for the users of the community of electronically interconnected users is also established at the computer based on personal electronic interaction through the computer with other users of the community. Step 1113 results in the receiving at the computer server 31 personal ratings received from the users in the community of electronically interconnected users, which are stored in database 47 as illustrated at step 1114. The received and stored record of personal ratings in database 47 is thus available at step 1115 to the users of the community of electronically interconnected users on request from one of the users in the community of electronically interconnected users. Finally, as shown at step 1117, information concerning the established personal networks, personal ratings, business networks, and business ratings of the users of the community of electronically interconnected users in the database 47 is shared from the computer over the publicly accessible computer network, before a return step 1118.


As shown in FIG. 12, after starting at step 1120, one embodiment of the computer implemented method may further comprise receiving at the computer server 31 from one of the users 53 of the community of electronically interconnected users an invitation to another user to join one or both of the inviting user's personal network and business network (step 1121). The computer server 31 is thus able to receive an indication from the invited user of acceptance of the invitation (as shown at step 1123). In the event of such an acceptance, the computer server 31 sends a confirmation to the invited user of association with the inviting user (as shown at step 1125). If the invited user is not already registered in the community (as shown at step 1127), the invited user is allowed to register in the system 30 and its database 47 and participate in the community (as shown at step 1129). The computer-implemented method may further include the step of including both the inviting user and the invited user as members of each other's personal network or business network in the database 47 in response to a step 1131 of sending a confirmation, before returning as shown at step 1132.


Referring now to FIG. 14, after starting at step 1140, the computer-implemented method may further comprise a step of a third party user browsing another user's personal network and business network (as shown at step 1141) and, if the third party user is a registered member in the community (as shown at step 1143). Further, if the third party user and the other user share at least one other user that is in database 47 as belonging to at least one of both the third party user's and the other user's business or personal networks (as shown at step 1145), the third party user is allowed access to the users that link the third party user and the other user. In such a case, the third party user is sent data from database 47 to illustrate to the third party user how the third party user is connected to said another user (step 1147), and a return step occurs as shown at step 1148.


The present invention has several advantages, including the ability to enable Internet commerce via personal and commercial community connections. The present invention is facilitated and aided by leveraging the personal and business connections of the parties involved, and allows participants to form networks by invitation and mutual acceptance. Users also can explore the connections between themselves and other buyers/sellers, themselves and their friends, or some combination of buyers/sellers and friends in order to find items to buy. Exploring users is inextricably linked to searching for products. Moreover, this model can be implemented on any consumer-to-consumer, business-to-business, or business-to-consumer Internet site.


Other advantages include recordation of the details of every transaction in a database regardless of its type. Significantly, each party participating in the transaction rates each transaction to form relationships between the parties. Each user also is able to create personal relationships with other users they are acquainted with, even if they have not engaged in a business transaction.


Furthermore, various computer systems link each user's networks to other networks. As the systems link networks together, that data is stored in a database. Thus, users who have performed transactions or created personal relationships are linked to users on Internet commerce sites. These systems allow users to view not only their immediate network but also their extended network, which is particularly important when users are attempting to complete business transactions. Each party involved in the transaction is able to see how their network links to the other party via other users, which helps facilitate business transactions.


While the invention has been shown or described in only some of its forms, it should be apparent to those skilled in the art that it is not so limited, but is susceptible to various changes without departing from the scope of the invention.

Claims
  • 1. A non-transitory computer-readable medium for facilitating electronic commerce in a publicly accessible computer network through a website of a communications network, the computer readable medium comprising a set of instructions that, when executed by a computer, cause the computer to perform the following operations: processing with a server module registrations for a plurality of users on the website of a communications network, each of the plurality of users being electronically interconnected through their connection to the website so that the plurality of users of the website define a community of users;receiving and processing with the server module listing information for products or services for sale from users in the community through the website;providing the listing information for the products or services for sale to other users in the community upon request through the website;processing with the server module electronic commerce with other users in the community through the website for the products or services identified in the listing information;processing with the server module a business network of business relationships for the community of users of the website based on (i) electronic commerce with other users in the community conducted through the website such that the only users included in a user's business network are those other users with whom the user has sold to, purchased from, or both, and (ii) mutual agreement between the user and those other users to join each other's business network;processing with the server module a personal network of personal relationships for the community through personal, non-commercial electronic interaction;generating and displaying on a computer of a third party user a web page that is functional to allow the third party to access the information processed by the server module about a selected user of the website and the selected user's connections, including (i) thumbnail images, profile names, and links to homepages of users in the community belonging to the selected user's business network, (ii) thumbnail images, profile names, and links to homepages of users in the community belonging to the selected user's personal network (iii) business ratings and personal ratings of the selected user, (iv) any connection between the third party user and the selected user in their personal or business networks, and (v) listing information for products or services offered for sale by the selected user on the computer system; andsharing the business network and the personal network among the plurality of users within the community through the website of the communications network.
  • 2. The non-transitory computer-readable medium of claim 1, wherein each of the business ratings and personal ratings comprises both qualitative assessments responsive to textual or graphic comments for describing users within the respective business network and personal network, and quantitative assessments responsive to a relative sale for comparing users within the respective business network and personal network.
  • 3. The non-transitory computer-readable medium of claim 1, further comprising a first user within the community inviting a second user within the community to join either the first user's personal network or the first user's business network so that the first user can leverage the personal and business relationships of the second user, and sending a confirmation to the invited second user of association with the first user that invited the second user.
  • 4. The non-transitory computer-readable medium of claim 3, wherein, if an invited user is not already registered in the community, allowing the invited user to register and participate in the community.
  • 5. The non-transitory computer-readable medium of claim 3, wherein both the first user and the invited second user are members of one another's joined personal network or business network responsive to receipt of the confirmation.
  • 6. The non-transitory computer-readable medium of claim 1, wherein at least some users within the community with whom a user communicates with or transacts business become part of either the users' personal or business network, and wherein the electronic commerce comprises at least one of buying goods, selling goods, buying services, or selling services.
  • 7. The non-transitory computer-readable medium of claim 1, further comprising users either performing keyword searches or browsing taxonomy of other users' networks within the community to locate either products or services in which the users are interested in electronic commerce.
  • 8. The non-transitory computer-readable medium of claim 1, further comprising the third party user browsing the selected user's personal network and business network and, if the third party user is registered in the community, and the third party user and said selected user share at least one other user that is in at least one of both the third party user's and said selected user's networks, then allowing the third party user to see at least one of the users within the community that link the third party user and said selected user, thereby indicating to the third party user how the third party user is connected to said selected user.
  • 9. The non-transitory computer-readable medium of claim 8, further comprising graphically illustrating and providing links to each of said at least one of the users within the community to the third party user.
  • 10. The non-transitory computer-readable medium of claim 8, wherein selecting one of said at least one of the users responsively displays the personal and business networks, the ratings, and links to either products or services being offered for sale of the selected one of said at least one of the users so that a user can browse the networks of interconnected users.
  • 11. The non-transitory computer-readable medium of claim 1, further comprising organizing either business transactions or personal events that are formed by selecting users from other users' respective business or personal networks within the community.
  • 12. The non-transitory computer-readable medium of claim 1, further comprising participating in either business transactions or personal events that are formed by selecting users from other users' respective business or personal networks within the community.
  • 13. The non-transitory computer-readable medium of claim 1, further comprising: displaying product webpages featuring the products or services listed for sale by selling users in the community to potential buying users in the community;automatically solving the degrees of separation between potential buying users and selling users; andproviding a graphical display of the degrees of separation between the potential buying users and the selling users to the potential buying users.
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 13/737,599, filed Jan. 9, 2013, now U.S. Pat. No. 9,805,425, which is a division of U.S. patent application Ser. No. 10/894,813, filed Jul. 20, 2004, now U.S. Pat. No. 8,370,269, which claims the benefit of U.S. Provisional Application No. 60/576,352, filed Jun. 2, 2004, which are hereby incorporated by reference in their entireties, including but not limited to those portions that specifically appear hereinafter, the incorporation by reference being made with the following exception: In the event that any portion of the above-referenced applications are inconsistent with this application, this application supercedes the above-referenced applications.

US Referenced Citations (532)
Number Name Date Kind
3573747 Adams et al. Apr 1971 A
3581072 Nymeyer May 1971 A
4412287 Braddock, III Oct 1983 A
4674044 Kalmus et al. Jun 1987 A
4677552 Sibley, Jr. Jun 1987 A
4789928 Fujisaki Dec 1988 A
4799156 Shavit et al. Jan 1989 A
4808987 Takeda et al. Feb 1989 A
4823265 Nelson Apr 1989 A
4854516 Yamada Aug 1989 A
4903201 Wagner Feb 1990 A
RE33316 Katsuta et al. Aug 1990 E
5027110 Chang et al. Jun 1991 A
5053956 Donald et al. Oct 1991 A
5063507 Lindsey et al. Nov 1991 A
5077665 Silverman et al. Dec 1991 A
5101353 Lupien et al. Mar 1992 A
5136501 Silverman et al. Aug 1992 A
5168446 Wiseman Dec 1992 A
5205200 Wright Apr 1993 A
5243515 Lee Sep 1993 A
5258908 Hartheimer et al. Nov 1993 A
5280422 Moe et al. Jan 1994 A
5297031 Gutterman et al. Mar 1994 A
5297032 Trojan et al. Mar 1994 A
5301350 Rogan et al. Apr 1994 A
5305200 Hartheimer et al. Apr 1994 A
5325297 Bird et al. Jun 1994 A
5329589 Fraser et al. Jul 1994 A
5347632 Filepp et al. Sep 1994 A
5375055 Togher et al. Dec 1994 A
5377354 Scannell et al. Dec 1994 A
5394324 Clearwater Feb 1995 A
5407433 Loomas Apr 1995 A
5411483 Loomas et al. May 1995 A
5426281 Abecassis Jun 1995 A
5485510 Colbert Jan 1996 A
5493677 Balogh et al. Feb 1996 A
5553145 Micali Sep 1996 A
5557728 Garrett et al. Sep 1996 A
5579471 Barber et al. Nov 1996 A
5596994 Bro Jan 1997 A
5598557 Doner et al. Jan 1997 A
5621790 Grossman et al. Apr 1997 A
5640569 Miller et al. Jun 1997 A
5657389 Houvener Aug 1997 A
5664111 Nahan et al. Sep 1997 A
5664115 Fraser Sep 1997 A
5689652 Lupien et al. Nov 1997 A
5694546 Reisman Dec 1997 A
5706457 Dwyer et al. Jan 1998 A
5710889 Clark et al. Jan 1998 A
5715314 Payne et al. Feb 1998 A
5715402 Popolo Feb 1998 A
5717989 Tozzoli et al. Feb 1998 A
5721908 Lagarde et al. Feb 1998 A
5722418 Bro Mar 1998 A
5727165 Orish et al. Mar 1998 A
5737599 Rowe et al. Apr 1998 A
5760917 Sheridan Jun 1998 A
5761496 Hattori Jun 1998 A
5761655 Hoffman Jun 1998 A
5761662 Dasan Jun 1998 A
5771291 Newton et al. Jun 1998 A
5771380 Tanaka et al. Jun 1998 A
5778367 Wesinger, Jr. et al. Jul 1998 A
5790790 Smith et al. Aug 1998 A
5794216 Brown Aug 1998 A
5794219 Brown Aug 1998 A
5796395 de Hond Aug 1998 A
5799285 Klingman Aug 1998 A
5803500 Mossberg Sep 1998 A
5818914 Fujisaki Oct 1998 A
5826244 Huberman Oct 1998 A
5835896 Fisher et al. Nov 1998 A
5845265 Woolston Dec 1998 A
5845266 Lupien et al. Dec 1998 A
5850442 Muftic Dec 1998 A
5870754 Dimitrova et al. Feb 1999 A
5872848 Romney et al. Feb 1999 A
5873069 Reuhl et al. Feb 1999 A
5873080 Coden et al. Feb 1999 A
5884056 Steele Mar 1999 A
5890138 Godin et al. Mar 1999 A
5890175 Wong et al. Mar 1999 A
5905975 Asusbel May 1999 A
5907547 Foladare et al. May 1999 A
5913215 Rubinstein et al. Jun 1999 A
5922074 Richard et al. Jul 1999 A
5924072 Havens Jul 1999 A
5926794 Fethe Jul 1999 A
5948040 DeLorme et al. Sep 1999 A
5948061 Merriman et al. Sep 1999 A
5974396 Anderson et al. Oct 1999 A
5974412 Hazlehurst et al. Oct 1999 A
5986662 Argiro et al. Nov 1999 A
5987446 Corey et al. Nov 1999 A
5991739 Cupps et al. Nov 1999 A
5999915 Nahan et al. Dec 1999 A
6012053 Pant et al. Jan 2000 A
6029141 Bezos et al. Feb 2000 A
6035288 Solomon Mar 2000 A
6035402 Vaeth et al. Mar 2000 A
6044363 Mori et al. Mar 2000 A
6045477 Yoshizawa et al. Apr 2000 A
6047264 Fisher et al. Apr 2000 A
6049797 Guha et al. Apr 2000 A
6055518 Franklin et al. Apr 2000 A
6058379 Odom et al. May 2000 A
6058417 Hess et al. May 2000 A
6058428 Wang et al. May 2000 A
6061448 Smith et al. May 2000 A
6065041 Lum et al. May 2000 A
6070125 Murphy et al. May 2000 A
6073117 Oyanagi et al. Jun 2000 A
6078914 Redfern Jun 2000 A
6085176 Woolston Jul 2000 A
6104815 Alcorn et al. Aug 2000 A
6119137 Smith et al. Sep 2000 A
6128649 Smith et al. Oct 2000 A
6141010 Hoyle Oct 2000 A
6167382 Sparks et al. Dec 2000 A
6178408 Copple et al. Jan 2001 B1
6185558 Bowman et al. Feb 2001 B1
6192407 Smith et al. Feb 2001 B1
6199077 Inala et al. Mar 2001 B1
6202051 Woolston Mar 2001 B1
6202061 Khosla et al. Mar 2001 B1
6226412 Schwab May 2001 B1
6243691 Fisher et al. Jun 2001 B1
6269238 Iggulden Jul 2001 B1
6271840 Finseth et al. Aug 2001 B1
6275820 Navin-Chandra et al. Aug 2001 B1
6275829 Angiulo et al. Aug 2001 B1
6356879 Aggarwal et al. Mar 2002 B2
6356905 Gershman et al. Mar 2002 B1
6356908 Brown et al. Mar 2002 B1
6366899 Kernz Apr 2002 B1
6370527 Singhai Apr 2002 B1
6373933 Sarkki et al. Apr 2002 B1
6374260 Hoffert et al. Apr 2002 B1
6381510 Amidhozour et al. Apr 2002 B1
6415270 Rackson et al. Jul 2002 B1
6415320 Hess et al. Jul 2002 B1
6434556 Levin et al. Aug 2002 B1
6456307 Bates et al. Sep 2002 B1
6460020 Pool et al. Oct 2002 B1
6466917 Goyal et al. Oct 2002 B1
6484149 Jammes et al. Nov 2002 B1
6489968 Ortega et al. Dec 2002 B1
6522955 Colborn Feb 2003 B1
6523037 Monahan et al. Feb 2003 B1
6601061 Holt et al. Jul 2003 B1
6604107 Wang Aug 2003 B1
6625764 Dawson Sep 2003 B1
6643696 David et al. Nov 2003 B2
6661431 Stuart et al. Dec 2003 B1
6665838 Brown et al. Dec 2003 B1
6675178 Chinchar Jan 2004 B1
6694436 Audebert Feb 2004 B1
6701310 Sugiura et al. Mar 2004 B1
6718536 Dupaquis Apr 2004 B2
6725268 Jacket et al. Apr 2004 B1
6728704 Mao et al. Apr 2004 B2
6732161 Hess et al. May 2004 B1
6732162 Wood et al. May 2004 B1
6801909 Delgado et al. Oct 2004 B2
6856963 Hurwitz Feb 2005 B1
6889054 Himmel et al. May 2005 B2
6907401 Vittal et al. Jun 2005 B1
6912505 Linden et al. Jun 2005 B2
6978273 Bonneau et al. Dec 2005 B1
7043450 Velez et al. May 2006 B2
7069242 Sheth et al. Jun 2006 B1
7076453 Jammes et al. Jul 2006 B2
7076504 Handel et al. Jul 2006 B1
7080030 Elgen et al. Jul 2006 B2
7100111 McElfresh et al. Aug 2006 B2
7100195 Underwood Aug 2006 B1
7117207 Kerschberg et al. Oct 2006 B1
7127416 Tenorio Oct 2006 B1
7165091 Lunenfeld Jan 2007 B2
7167910 Farnham et al. Jan 2007 B2
7216115 Walters et al. May 2007 B1
7240016 Sturgis Jul 2007 B1
7254547 Beck et al. Aug 2007 B1
7318037 Solari Jan 2008 B2
7324966 Scheer Jan 2008 B2
7340249 Moran et al. Mar 2008 B2
7349668 Ilan et al. Mar 2008 B2
7353188 Yim et al. Apr 2008 B2
7366755 Cuomo et al. Apr 2008 B1
7379890 Myr et al. May 2008 B2
7380217 Gvelesiani May 2008 B2
7383320 Silberstein et al. Jun 2008 B1
7401025 Lokitz Jul 2008 B1
7447646 Agarwal et al. Nov 2008 B1
7451476 Banks Nov 2008 B1
7454464 Puthenkulam et al. Nov 2008 B2
7457730 Degnan Nov 2008 B2
7493521 Li et al. Feb 2009 B1
7496525 Mitchell Feb 2009 B1
7496527 Silverstein et al. Feb 2009 B2
7496582 Farnham et al. Feb 2009 B2
7516094 Perkowski Apr 2009 B2
7539696 Greener et al. May 2009 B1
7546625 Kamangar Jun 2009 B1
7552067 Nephew et al. Jun 2009 B2
7565615 Ebert Jul 2009 B2
7606743 Orzell et al. Oct 2009 B2
7610212 Klett et al. Oct 2009 B2
7653573 Hayes, Jr. et al. Jan 2010 B2
7834883 Adams Nov 2010 B2
7904348 Johnson et al. Mar 2011 B2
7912748 Rosenberg et al. Mar 2011 B1
7921031 Crysel Apr 2011 B2
7941751 Ebert May 2011 B2
7979340 MacDonald Korth et al. Jul 2011 B2
7983950 DeVita Jul 2011 B2
7983963 Byrne et al. Jul 2011 B2
8086643 Tenorio Dec 2011 B1
8112303 Eglen et al. Feb 2012 B2
8140989 Cohen et al. Mar 2012 B2
8166155 Rachmeler et al. Apr 2012 B1
8204799 Murray et al. Jun 2012 B1
8214264 Kasavin et al. Jul 2012 B2
8214804 Robertson Jul 2012 B2
8260852 Cselle Sep 2012 B1
8312056 Peng et al. Nov 2012 B1
8326662 Byrne et al. Dec 2012 B1
8370269 MacDonald-Korth et al. Feb 2013 B2
8370435 Bonefas Feb 2013 B1
8452691 MacDonald-Korth et al. May 2013 B2
8473316 Panzitta et al. Jun 2013 B1
8494912 Fraser et al. Jul 2013 B2
8545265 Sakamoto et al. Oct 2013 B2
8577740 Murray et al. Nov 2013 B1
8583480 Byrne Nov 2013 B2
8630960 Gross Jan 2014 B2
8676632 Watson et al. Mar 2014 B1
8693494 Fiatal Apr 2014 B2
8719075 MacDonald Korth et al. May 2014 B2
8793650 Hilerio et al. Jul 2014 B2
9047341 Pan Jun 2015 B2
9047642 Byrne et al. Jun 2015 B2
9430114 Dingman Aug 2016 B1
9448692 Mierau et al. Sep 2016 B1
9483788 Martin Nov 2016 B2
9741080 Byrne Aug 2017 B1
9747622 Johnson et al. Aug 2017 B1
9805425 MacDonald-Korth et al. Oct 2017 B2
9928752 Byrne et al. Mar 2018 B2
9940659 Behbahani et al. Apr 2018 B1
10074118 Johnson et al. Sep 2018 B1
10102287 Martin Oct 2018 B2
10269081 Byrne Apr 2019 B1
10423997 MacDonald Korth et al. Sep 2019 B2
10534845 Noursalehi et al. Jan 2020 B2
20010014868 Herz et al. Aug 2001 A1
20010034667 Petersen Oct 2001 A1
20010034668 Whitworth Oct 2001 A1
20010044751 Pugliese et al. Nov 2001 A1
20010047290 Petras et al. Nov 2001 A1
20010047308 Kaminsky et al. Nov 2001 A1
20010051996 Cooper et al. Dec 2001 A1
20020002513 Chiasson Jan 2002 A1
20020007356 Rice et al. Jan 2002 A1
20020013721 Capel et al. Jan 2002 A1
20020019763 Linden Feb 2002 A1
20020022995 Miller et al. Feb 2002 A1
20020023059 Bari et al. Feb 2002 A1
20020026390 Ulenas et al. Feb 2002 A1
20020029187 Meehan et al. Mar 2002 A1
20020038312 Donner et al. Mar 2002 A1
20020040352 McCormick Apr 2002 A1
20020042738 Srinivasan et al. Apr 2002 A1
20020049622 Lettich et al. Apr 2002 A1
20020056044 Andersson May 2002 A1
20020099578 Eicher et al. Jul 2002 A1
20020099579 Scelzo et al. Jul 2002 A1
20020099602 Moskowitz et al. Jul 2002 A1
20020107718 Morrill et al. Aug 2002 A1
20020107853 Hofmann et al. Aug 2002 A1
20020111826 Potter Aug 2002 A1
20020120537 Campbell et al. Aug 2002 A1
20020123957 Notarius et al. Sep 2002 A1
20020124100 Adams Sep 2002 A1
20020129282 Hopkins Sep 2002 A1
20020133502 Rosenthal Sep 2002 A1
20020138399 Hayes et al. Sep 2002 A1
20020147625 Kolke Oct 2002 A1
20020156802 Takayama et al. Oct 2002 A1
20020161648 Mason et al. Oct 2002 A1
20020188777 Kraft et al. Dec 2002 A1
20020194049 Boyd Dec 2002 A1
20020198784 Shaak et al. Dec 2002 A1
20020198882 Linden et al. Dec 2002 A1
20030004855 Dutta et al. Jan 2003 A1
20030005046 Kavanagh et al. Jan 2003 A1
20030009362 Cifani et al. Jan 2003 A1
20030009392 Perkowski Jan 2003 A1
20030014400 Siegel Jan 2003 A1
20030028451 Ananian Feb 2003 A1
20030028605 Millett et al. Feb 2003 A1
20030032409 Hutcheson et al. Feb 2003 A1
20030035138 Schilling Feb 2003 A1
20030036914 Fitzpatrick et al. Feb 2003 A1
20030040970 Miller Feb 2003 A1
20030041008 Grey et al. Feb 2003 A1
20030046149 Wong Mar 2003 A1
20030069740 Zeidman Apr 2003 A1
20030069790 Kane Apr 2003 A1
20030069825 Burk et al. Apr 2003 A1
20030083961 Bezos et al. May 2003 A1
20030088467 Culver May 2003 A1
20030088511 Karboulonis et al. May 2003 A1
20030093331 Childs et al. May 2003 A1
20030097352 Gutta et al. May 2003 A1
20030105682 Dicker et al. Jun 2003 A1
20030110100 Wirth, Jr. Jun 2003 A1
20030119492 Timmins et al. Jun 2003 A1
20030131095 Kumhyr et al. Jul 2003 A1
20030139969 Scroggie et al. Jul 2003 A1
20030140007 Kramer Jul 2003 A1
20030140121 Adams Jul 2003 A1
20030158792 Perkowski Aug 2003 A1
20030163340 Fitzpatrick et al. Aug 2003 A1
20030167213 Jammes et al. Sep 2003 A1
20030167222 Mehrotra et al. Sep 2003 A1
20030177103 Ivanov et al. Sep 2003 A1
20030187745 Hobday et al. Oct 2003 A1
20030200156 Roseman et al. Oct 2003 A1
20030204449 Kotas et al. Oct 2003 A1
20030217002 Enborg Nov 2003 A1
20030220835 Barnes, Jr. Nov 2003 A1
20040006509 Mannik et al. Jan 2004 A1
20040015416 Foster et al. Jan 2004 A1
20040029567 Timmins et al. Feb 2004 A1
20040041836 Zaner et al. Mar 2004 A1
20040044563 Stein Mar 2004 A1
20040055017 Delpuch et al. Mar 2004 A1
20040058710 Timmins et al. Mar 2004 A1
20040073476 Donahue et al. Apr 2004 A1
20040078388 Melman Apr 2004 A1
20040107136 Nemirofsky et al. Jun 2004 A1
20040117242 Conrad et al. Jun 2004 A1
20040122083 Lippert et al. Jun 2004 A1
20040122681 Ruvolo et al. Jun 2004 A1
20040122735 Meshkin Jun 2004 A1
20040122855 Ruvolo et al. Jun 2004 A1
20040128183 Challey et al. Jul 2004 A1
20040128283 Wang Jul 2004 A1
20040128320 Grove et al. Jul 2004 A1
20040143731 Audebert Jul 2004 A1
20040148232 Fushimi et al. Jul 2004 A1
20040172323 Stamm Sep 2004 A1
20040172379 Mott et al. Sep 2004 A1
20040174979 Hutton et al. Sep 2004 A1
20040186766 Fellenstein et al. Sep 2004 A1
20040199496 Liu et al. Oct 2004 A1
20040199905 Fagin et al. Oct 2004 A1
20040204989 Dicker Oct 2004 A1
20040204991 Monahan et al. Oct 2004 A1
20040230989 Macey Nov 2004 A1
20040240642 Crandell et al. Dec 2004 A1
20040249727 Cook, Jr. et al. Dec 2004 A1
20040267717 Slackman Dec 2004 A1
20050010925 Khawand et al. Jan 2005 A1
20050021666 Dinnage et al. Jan 2005 A1
20050038733 Foster et al. Feb 2005 A1
20050044254 Smith Feb 2005 A1
20050055306 Miller et al. Mar 2005 A1
20050060664 Rogers Mar 2005 A1
20050097204 Horowitz et al. May 2005 A1
20050114229 Ackley et al. May 2005 A1
20050120311 Thrall Jun 2005 A1
20050131837 Sanctis et al. Jun 2005 A1
20050144064 Calabria et al. Jun 2005 A1
20050193333 Ebert Sep 2005 A1
20050197846 Pezaris et al. Sep 2005 A1
20050197950 Moya et al. Sep 2005 A1
20050198031 Peraris et al. Sep 2005 A1
20050202390 Allen et al. Sep 2005 A1
20050203888 Woosley et al. Sep 2005 A1
20050216300 Appelman et al. Sep 2005 A1
20050262067 Lee et al. Nov 2005 A1
20050273378 MacDonald-Korth et al. Dec 2005 A1
20060009994 Hogg et al. Jan 2006 A1
20060010105 Sarukkai et al. Jan 2006 A1
20060015498 Sarmiento Jan 2006 A1
20060031240 Eyal et al. Feb 2006 A1
20060041638 Whittaker et al. Feb 2006 A1
20060058048 Kapoor et al. Mar 2006 A1
20060069623 MacDonald Korth et al. Mar 2006 A1
20060085251 Greene Apr 2006 A1
20060173817 Chowdhury et al. Aug 2006 A1
20060206479 Mason Sep 2006 A1
20060230035 Bailey et al. Oct 2006 A1
20060235752 Kavanagh et al. Oct 2006 A1
20060259360 Flinn et al. Nov 2006 A1
20060271671 Hansen Nov 2006 A1
20060282304 Bedard et al. Dec 2006 A1
20070005424 Arauz Jan 2007 A1
20070027760 Collins et al. Feb 2007 A1
20070027814 Tuoriniemi Feb 2007 A1
20070073641 Perry et al. Mar 2007 A1
20070077025 Mino Apr 2007 A1
20070078726 MacDonald Korth et al. Apr 2007 A1
20070078849 Slothouber Apr 2007 A1
20070083437 Hamor Apr 2007 A1
20070094597 Rostom Apr 2007 A1
20070100803 Cava May 2007 A1
20070160345 Sakai et al. Jul 2007 A1
20070162379 Skinner Jul 2007 A1
20070174108 Monster Jul 2007 A1
20070192168 Van Luchene Aug 2007 A1
20070192181 Asdourian Aug 2007 A1
20070203922 Thomas Aug 2007 A1
20070206606 Coleman et al. Sep 2007 A1
20070214048 Chan et al. Sep 2007 A1
20070226679 Jayamohan et al. Sep 2007 A1
20070233565 Herzog et al. Oct 2007 A1
20070239534 Liu et al. Oct 2007 A1
20070245013 Saraswathy et al. Oct 2007 A1
20070260520 Jha et al. Nov 2007 A1
20070282666 Afeyan et al. Dec 2007 A1
20070288298 Gutierrez Dec 2007 A1
20070299743 Staib et al. Dec 2007 A1
20080015938 Haddad et al. Jan 2008 A1
20080021763 Merchant Jan 2008 A1
20080052152 Yufik Feb 2008 A1
20080071640 Nguyen Mar 2008 A1
20080082394 Floyd et al. Apr 2008 A1
20080103893 Nagarajan et al. May 2008 A1
20080120342 Reed et al. May 2008 A1
20080126205 Evans et al. May 2008 A1
20080126476 Nicholas et al. May 2008 A1
20080133305 Yates et al. Jun 2008 A1
20080140765 Kelaita et al. Jun 2008 A1
20080162574 Gilbert Jul 2008 A1
20080201218 Broder et al. Aug 2008 A1
20080215456 West et al. Sep 2008 A1
20080288338 Wiseman et al. Nov 2008 A1
20080294536 Taylor et al. Nov 2008 A1
20080300909 Rikhtverchik et al. Dec 2008 A1
20080301009 Plaster et al. Dec 2008 A1
20080305869 Konforty Dec 2008 A1
20080313010 Jepson Dec 2008 A1
20090006190 Lucash et al. Jan 2009 A1
20090030755 Altberg et al. Jan 2009 A1
20090030775 Vieri Jan 2009 A1
20090106080 Carrier et al. Apr 2009 A1
20090106127 Purdy et al. Apr 2009 A1
20090110181 Koenig et al. Apr 2009 A1
20090119167 Kendall et al. May 2009 A1
20090157537 Miller Jun 2009 A1
20090164323 Byrne Jun 2009 A1
20090182589 Kendall et al. Jul 2009 A1
20090204848 Kube et al. Aug 2009 A1
20090222348 Ransom et al. Sep 2009 A1
20090222737 Liesche Sep 2009 A1
20090234722 Evevsky Sep 2009 A1
20090240582 Sheldon-Neal et al. Sep 2009 A1
20090276284 Yost Nov 2009 A1
20090276305 Clopp Nov 2009 A1
20090292677 Kim Nov 2009 A1
20090293019 Raffel et al. Nov 2009 A1
20090313173 Singh Dec 2009 A1
20100042684 Broms et al. Feb 2010 A1
20100070448 Omoigui Mar 2010 A1
20100076816 Phillips Mar 2010 A1
20100076851 Jewell, Jr. Mar 2010 A1
20100094673 Lobo et al. Apr 2010 A1
20100107123 Sareen Apr 2010 A1
20100145831 Esfandiari et al. Jun 2010 A1
20100146413 Yu Jun 2010 A1
20100228617 Ransom et al. Sep 2010 A1
20110010656 Mokotov Jan 2011 A1
20110055054 Glasson Mar 2011 A1
20110060621 Weller Mar 2011 A1
20110103699 Ke et al. May 2011 A1
20110153383 Bhattacharjya et al. Jun 2011 A1
20110153663 Koren et al. Jun 2011 A1
20110173076 Eggleston et al. Jul 2011 A1
20110196802 Ellis et al. Aug 2011 A1
20110225050 Varghese Sep 2011 A1
20110231226 Golden Sep 2011 A1
20110231383 Smyth et al. Sep 2011 A1
20110258049 Ramer et al. Oct 2011 A1
20110271204 Jones et al. Nov 2011 A1
20110276513 Erhart et al. Nov 2011 A1
20110289068 Teevan et al. Nov 2011 A1
20120005187 Chavanne Jan 2012 A1
20120030067 Pothukuchi et al. Feb 2012 A1
20120084135 Nissan et al. Apr 2012 A1
20120158715 Maghoul et al. Jun 2012 A1
20120164619 Meer Jun 2012 A1
20120166299 Heinstein et al. Jun 2012 A1
20120231424 Calman et al. Sep 2012 A1
20120233312 Ramakumar et al. Sep 2012 A1
20120278388 Kleinbart et al. Nov 2012 A1
20120284336 Schmidt et al. Nov 2012 A1
20130031470 Daly, Jr. et al. Jan 2013 A1
20130073392 Allen et al. Mar 2013 A1
20130080200 Connolly et al. Mar 2013 A1
20130080426 Chen et al. Mar 2013 A1
20130085893 Bhardwaj et al. Apr 2013 A1
20130091184 Alexe Apr 2013 A1
20130144870 Gupta et al. Jun 2013 A1
20130145254 Masuko et al. Jun 2013 A1
20130151331 Avner et al. Jun 2013 A1
20130151388 Falkenborg Jun 2013 A1
20130185164 Pottjegort Jul 2013 A1
20130191409 Zeng Jul 2013 A1
20130254059 Teo Sep 2013 A1
20130268561 Christie et al. Oct 2013 A1
20140019313 Hu et al. Jan 2014 A1
20140025509 Reisz et al. Jan 2014 A1
20140032544 Mathieu et al. Jan 2014 A1
20140114680 Mills et al. Apr 2014 A1
20140136290 Schiestl et al. May 2014 A1
20140172652 Pobbathi et al. Jun 2014 A1
20140180758 Agarwal et al. Jun 2014 A1
20140200959 Sarb et al. Jul 2014 A1
20140259056 Grusd Sep 2014 A1
20140289005 Laing et al. Sep 2014 A1
20140337090 Tavares Nov 2014 A1
20140372415 Fernandez-Ruiz Dec 2014 A1
20150019958 Ying et al. Jan 2015 A1
20150286742 Zhang et al. Oct 2015 A1
20150287066 Wortley et al. Oct 2015 A1
20170344622 Islam et al. Nov 2017 A1
Foreign Referenced Citations (25)
Number Date Country
2253543 Oct 1997 CA
2347812 May 2000 CA
0636993 Apr 1999 EP
0807891 May 2000 EP
1241603 Mar 2001 EP
2397400 Jul 2004 GB
2424098 Sep 2006 GB
2001283083 Oct 2001 JP
2002318935 Oct 2002 JP
9717663 May 1997 WO
9832289 Jul 1998 WO
9847082 Oct 1998 WO
9849641 Nov 1998 WO
9959283 Nov 1999 WO
0025218 May 2000 WO
0109803 Feb 2001 WO
0182135 Nov 2001 WO
200197099 Dec 2001 WO
200237234 Nov 2002 WO
2003094080 Nov 2003 WO
2007021920 Feb 2007 WO
WO2007021920 Feb 2007 WO
2012093410 Jul 2012 WO
WO2015116038 Aug 2015 WO
WO2015176071 Nov 2015 WO
Non-Patent Literature Citations (108)
Entry
Massimb et al., “Electronic Trading, Market Structure and Liquidity,” Financial Analysts Journal, Jan.-Feb. 1994, pp. 39-49.
McGinnity, “Build Your Weapon,” PC Magazine, Apr. 24, 2011, printed from www.pcmag.com/print_article2?0,1217,a%253D3955,00.asp.
Meade, “Visual 360: a performance appraisal system that's ‘fun,’” HR Magazine, 44, 7, 118(3), Jul. 1999.
“Mediappraise: Mediappraise Receives National Award for Web-Based Technology That Enables Companies to Solve Thorny HR Problem,” Dec. 14, 1998.
Medvinsky et al., “Electronic Currency for the Internet,” Electronic Markets—The International Journal, Oct. 1993, 2 pages, vol. 3, No. 3.
Metails.com, www.metails.com homepage, printed Oct. 13, 2004.
Microsoft Computer Dictionary, Fifth Edition, front matter and p. 33.
Microsoft Computer Dictionary, Fifth Edition, front matter, back matter, and pp. 479, 486.
Neches, “FAST—A Research Project in Electronic Commerce,” Electronic Markets—The International Journal, Oct. 1993, 4 pages., vol. 3., No. 3.
Neo, “The implementation of an electronic market for pig trading in Singapore,” Journal of Strategic Information Systems, Dec. 1992, pp. 278-288, vol. 1, No. 5.
O'Mahony, “An X.500-based Product Catalogue,” Electronic Markets—The International Journal, Oct. 1993, 2 pages, vol. 3, No. 3.
“ONSALE: ONSALE Brings Thrill of Auctions and Bargain Hunting Online: Unique Internet retail services debuts with week-long charity auction for the Computer Museum in Boston,” May 24, 1995, printed from www.dialogweb.com/cgi/dwclient?dwcommand,DWEBPRINT%20810-489267.
“ONSALE joins fray as online shopping pcks up speed: Internet Booms,” Comptuer Reseller News, Jun. 5, 1995.
Palm, Inc., PalmTM Web Pro Handbook, copyright 2002-2003.
Post et al., “Application of Auctions as a Pricing Mechanism for the Interchange of Electric Power,” IEEE Transactions of Power Systems, Aug. 1995, pp. 1580-1584, vol. 10, No. 3.
Preist et al., “Adaptive agents in a persistent shout double auction,” International Conference on Information and Computation, Proceedings of the first international conference on information and computation economies, Oct. 25-28, 1998, Charleston, United States, pp. 11-18.
Qualcomm, “Brew Developer Support,” printed from web.archive.org/web/20020209194207/http://www.qualcomm.com/brew/developer/support/kb/52.html on Aug. 30, 2007.
RCR Wireless News, “Lockheed Martin to use 2Roam's technology for wireless platform,” RCR Wireless News, Sep. 10, 2001.
Reck, “Formally Specifying an Automated Trade Execution System,” J. Systems Software, 1993, pp. 245-252, vol. 21.
Reck, “Trading-Process Characteristics of Electronic Auctions,” Electronic Markets—The International Journal, Dec. 1997, pp. 17-23, vol. 7, No. 4.
Repcheck.com, www.repcheck.com homepage, printed from web.archive.org/web/20020330183132/http://repcheck.com on Sep. 5, 2009.
Resnick et al., “Reputation Systems,” Communications of the ACM, Dec. 2000, pp. 45-48, vol. 43, No. 12.
Rockoff et al., “Design of an Internet-based system for remote Dutch auctions,” Internet Research: Electronic Networking Applications and Policy, 1995, pp. 10-16, vol. 5, No. 4.
Rose, “Vendors strive to undo Adobe lock-hold,” Computer Reseller News, Feb. 5., 1996, n 66669, p. 71(7).
Rysavy, “Mobile-commerce ASPs do the legwork,” Network Computing, Jan. 22, 2001, p. 71, 6 pgs., vol. 12, No. 2.
Saunders, “AdFlight to Offer WAP Ads,” Oct. 17, 2000, printed from clickz.com/487531/print.
Schmid, “Electronic Markets,” Electronic Markets—The International Journal, Oct. 1993, 2 pages, vol. 3, No. 3.
Schwankert, “Matsushita Taps 2Roam for Wireless Solutions,” www.internetnews.com/bus-news.article.php/674811, Feb. 2, 2001.
Sen, “Inventory and Pricing Models for Perishable Products,” Doctor of Philosophy Dissertation—University of Southern California, Aug. 2000.
Siegmann, “Nowhere to go but up,” PC Week, Oct. 23, 1995, 3 pages, vol. 12, No. 42.
Telephony Staff, “Air-ASP,” Telephony Online, Oct. 2, 2000, 3 pages.
Teo, “Organizational Factors of Success in Using EDIS: A Survey of Tradenet Participants,” Electronic Markets—The International Journal, Oct. 1993, 2 pages, vol. 3, No. 3.
Tjostheim et al., “A case study of an on-line auction for the World Wide Web,” printed from www.nr.no/gem/elcom/puplikasjoner/enter98e.html on Jun. 10, 1990, 10 pages.
Turban, “Auctions and Bidding on the Internet: An Assessment,” Electronic Markets—The International Journal, Dec. 1997, 5 pages, vol. 7, No. 4.
Ubid.com, “How do I Updated my Address, Phone, Credit Card, Password, etc.?” printed from web.archive.org/web/20010208113903/www.ubid.com/help/topic13asp on Aug. 30, 2007.
Ubid.com, “How do I track my shipment?” printed from web.archive.org/web/20010331032659/www.ubid.com/help/topic27.asp on Aug. 30, 2007.
Ubid.com, “Can I track all of my bids from My Page?” printed from web.archive.org/web/20010208114049/www.ubid.com/help/topic14.asp on Aug. 30, 2007.
Van Heck et al., “Experiences with Electronic Auctions in the Dutch Flower Industry,” Electronic Markets—The International Journal, Dec. 1997, 6 pages, vol. 7, No. 4.
Verizon Wireless, “Verizon Wireless Customers Get It NowSM; Get Games, Get Pix, Get Ring Tones and Get Going in Full Color,” press release to PRNEWSWIRE, Sep. 23, 2002.
Warbelow et al., “AUCNET: TV Auction Network System,” Harvard Business School 9-190-001, Jul. 19, 1989, Rev. Apr. 12, 1996, pp. 1-15.
Weber, “How Financial Markets are Going On-line,” Electronic Markets—The International Journal, Oct. 1993, 2 pages, vol. 3, No. 3.
Wireless Internet, “DailyShopper Selects 2Roam to Enable Mobile Customers to Retrieve Nearby Sales and Promotions Information,” Wireless Internet, Apr. 2001.
Wireless Week, “Verizon Wireless Gets Going on BREW Agenda,” Wireless Week, Sep. 23, 2002.
Xchanger.net, webpage printed from www.auctiva.com/showcases/as_4sale.asp?uid=exchanger, undated but at least as early as Oct. 12, 2000.
Yu et al., “Distributed Reputation Management for Electronic Commerce,” Computational Intelligence, 2002, pp. 535-549, vol. 18, No. 4.
Zetmeir, Auction Incentive Marketing, print of all pages of website found at home.earthlink.net/˜bidpointz/ made Oct. 8, 2004.
Zimmermann, “Integration of Financial Services: The TeleCounter,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
Zwass, “Electronic Commerce: Structures and Issues,” International Journal of Electronic Commerce, Fall 1996, pp. 3-23, vol. 1, No. 1.
2Roam, Inc., multiple archived pages of www.2roam.com retrieved via Internet Archive Wayback Machine on Jun. 10, 2008.
Alt et al., “Bibliography on Electronic Commerce,” Electronic Markets—The International Journal, Oct. 1993, 5 pages, vol. 3, No. 3.
Alt et al., “Computer Integrated Logistics,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 1, No. 3.
Anonymous, Image manipulation (image-editing software and image-manipulation systems)(Seybold Special Report, Part II), Seybold Report on Publishing Systems, May 15, 1995, pS35(9), vol. 24, No. 18.
Auctionwatch.com, multiple pages—including search results for “expedition,” printed Apr. 21, 2011.
Auctiva.com, multiple pages, undated but website copyright date is “1999-2000.”
Ball et al., “Supply chain infrastructures: system integration and information sharing,” ACM SIGMOD Record, 2002, vol. 31, No. 1, pp. 61-66.
Berger et al., “Random Ultiple-Access Communication and Group Testing,” IEEE, 1984.
Braganza, “IS Resarch at Cranfield—A Look at the Future,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
Brecht et al., “The IM 2000 Research Programme,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
Business Wire business/technology editors, “Sellers Flock to OutletZoo.com as New Automatic Price Drop Method Moves Excess Inventory Online,” Business Wire, Oct. 25, 1999.
Business Wire business editors/high-tech writers, “PictureWorks Technology, Inc. Expands in Real Estate Market with Adoption of Rimfire on Realtor.com,” Business Wire, Nov. 8, 1999.
Business Wire business editors/high-tech writers, “PictureWorks Technology, Inc. Shows Strong Revenue Growth in Internet Imaging Business,” Business Wire, Nov. 10, 1999.
Business Wire business editors/high-tech writers, “2Roam Partners with Pumatech to Delivery Wireless Alerts,” Business Wire, Dec. 18, 2000.
Business Wire business editors/high-tech writers, “2Roam Takes eHow's How-to Solutions Wireless: With 2Roam, the Web's One-Stop Source for getting Things Done is on More Wireless Devices, with Ability to Purchase Its Products from Anywhere,” Business Wire, Oct. 2, 2000.
Business Wire business editors/high-tech writers, “2Roam Drives Hertz to the Wireless Web: Number One Car Rental Company to Provide Customers Wireless Access from Any Device,” Business Wire, Aug. 7, 2001.
Buy.com, www.buy.com homepage, printed Oct. 13, 2004.
Chen et al., “Detecting Web Page Structure for Adaptive Viewing on Small Form Factor Devices,” ACM, May 20-24, 2003.
Chen, M. (2007). Knowledge assisted data management and retrieval in multimedia database systems (Order No. 3268643).
Clarke, “Research Programme in Supra-organizational Systems,” Electronic Markets—The International Journal, Oct. 1993, 2 pages, vol. 3, No. 3.
Clemons et al., “Evaluating the prospects for alternative electronic securities markets,” Proceedings of the twelfth international conference on information systems, New York, New York, United States, pp. 53-64, 1991.
Friendster.com, homepage and “more info” pages, printed Apr. 29, 2004.
Google News archive search for “2Roam marketing” performed over the date range 2000-2003.
Google News archive search for “2Roam SMS” performed over the date range 2000-2008.
Grabowski et al., “Mobile-enabled grid middleware and/or grid gateways,” GridLab—A Grid Application Toolkit and Testbed, Work Package 12—Access for Mobile Users, Jun. 3, 2003.
Graham, “The Emergence of Linked Fish Markets in Europe,” Electronic Markets—The International Journal, Jul. 1993, 4 pages, vol. 8, No. 2.
Gunthorpe et al., “Portfolio Composition and the Investment Horizon,” Financial Analysts Journal, Jan.-Feb. 1994, pp. 51-56.
Halperin, “Toward a Process Handbook for Organizational Coordination Processes,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
Hess et al., “Computerized Loan Origination Systems: An Industry Case Study of the Electronic Markets Hypothesis,” MIS Quarterly, Sep. 1994, pp. 251-275.
IBM, “Anyonymous Delivery of Goods in Electronic Commerce,” IBM Technical Disclosure Bulletin, Mar. 1996, pp. 363-366, vol. 39, No. 3.
IBM, “Personal Optimized Decision/Transaction Program,” IBM Technical Disclosure Bulletin, Jan. 1995, pp. 83-84, vol. 38, No. 1.
ICROSSING, “ICROSSING Search Synergy: Natural & Paid Search Symbiosis,” Mar. 2007.
IEEE 100—The Authoritative Dictionary of IEEE Standard Terms, Seventh Edition, 2000. Entire book cited; table of contents, source list, and terms beginning with A included. ISBN 0-7381-2601-2.
Ives et al., “Editor's Comments—MISQ Central: Creating a New Intellectual Infrastructure,” MIS Quarterly, Sep. 1994, p. xxxv.
Joshi, “Information visibility and its effect on supply chain dynamics,” Ph.D. dissertation, Massachusetts Institute of Technology, 2000 (fig. 4.5; p. 45).
Klein, “Information Logistics,” Electronic Markets—The International Journal, Oct. 1993, pp. 11-12, vol. 3, No. 3.
Klein, “Introduction to Electronic Auctions,” Electronic Markets—Tthe International Journal, Dec. 1997, 4 pages, vol. 1, No. 4.
Kubicek, “The Organization Gap,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
Kuula, “Telematic Services in Finland,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
Lalonde, “The EDI World Institute: An International Approach,” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
Lee et al., “Intelligent Electronic Trading for Commodity Exchanges,” Electronic Markets—The International Journal, Oct. 1993, 2 pages, vol. 3, No. 3.
Lee et al., “Electronic Brokerage and Electronic Auction: The Impact of IT on Market Structures,” Proceedings of the 29th Annual Hawaii International Conference on System Sciences, 1996, pp. 397-406.
Lee, “AUCNET: Electronic Intermediary for Used-Car Transactions,” Electronic Market—The International Journal, Dec. 1997, pp. 24-28, vol. 7, No. 4.
Live365 press release, “Live365 to Offer Opt-In Advertising on Its Website,” Oct. 15, 2004.
London Business School, “Overture and Google: Internet Pay-Per-Click (PPC) Advertising Options,” Mar. 2003.
M2 Presswire, “Palm, Inc.: Palm unveils new web browser optimised for handhelds; HTML browser offers high-speed web-browsing option,” Mar. 13, 2002.
Malone et al., “Electronic Markets and Electronic Hierarchies,” Communications of the ACM, Jun. 1987, pp. 484-497, vol. 30, No. 6.
Mansell et al., “Electronic Trading Networks: The Route to Competitive Advantage?” Electronic Markets—The International Journal, Oct. 1993, 1 page, vol. 3, No. 3.
Mardesich, “Onsale takes auction gavel electronic,” Computer Reseller News, Jul. 8, 1996, pp. 2, 32.
Marteau, “Shop with One Click, Anywhere, Anytime,” Information Management and Consulting, 2000, pp. 44-46, vol. 15, No. 4.
Y.K. Choi and S. K. Kim, “An auxiliary reccomendation system for repetitively purchasing items in E-commerce,” 2014 International Conference on Big Data and Smart Computing (BIGCOMP), Bangkok, 2014, pp. 96-98. (Year 2014).
Fan, J., Keim, F.A., Gao, Y., Luo, H. and Li, Z. (2009). JustClick: Personalized Image Recommendation via Exploratory Search from Large-Scale Flickr Images. Feb. 2009. IEEE Transactions on Circuits and Systems for Video Technology, 19(2), pp. 2730288. (Year: 2009).
S. Kulkarni, A. M. Sankpal, R.R. Mudholkar and Kirankumari, “Recommendation engine: Matching individual/group profiles for better shopping experience,” 2013 15th International Conference on Advanced Computing Technologies (ICACT), Rajampet, 2013, pp. 1-6. (Year: 2013).
T.Y. Lee, S. Li and R. Wei, “Needs-Centric Searching and Ranking Based on Customer Reviews,” 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services, Washington, DC, 2008, pp. 128-135. (Year: 2008).
Levy, Michael, and Dhruv Grewal. “Supply chain management in a networked economy.” Journal Retailing 76.4 (2000):415-429.
Neisser, “Which is better for Social Media Monitoring: TweetDeck or SproutSocial” Mar. 17, 2011, Social Media Examiner, https://www.socialmediaexaminer.com/which-is-better-for-social-media-monitoring-tweetdeck-or-sproutsocial/.
Rodriguez, Camille, HootSuite vs. social Oomph vs. Tweekdeck, Jan. 4, 2012, http://polkadotimpressions.com/2012/01/04/hootsuite-vs-social-oopmphys.tweetdeck/ (Year: 2012).
Ross, David Frederick, Frederick S. Weston, and W. Stephen. Introduction to supply chain management technologies. CRC Press, 2010.
Schaffer, Neil, The Top 20 Twitter clients—HootSuite, TweetDeck and More, Jan. 31, 2012, https://maximizesocialbusinss.com/top-20-twitter-clients-2012-91751 (Year: 2012).
Message Passing from Wikipedia, archived May 6, 2016, retrieved from https://en.wikipedia.org/wiki/message_passing, 4 pages.
Related Publications (1)
Number Date Country
20180130137 A1 May 2018 US
Provisional Applications (1)
Number Date Country
60576352 Jun 2004 US
Divisions (1)
Number Date Country
Parent 10894813 Jul 2004 US
Child 13737599 US
Continuations (1)
Number Date Country
Parent 13737599 Jan 2013 US
Child 15798567 US