Patent Application
20080114737
The field of the disclosure relates generally to social networks in a computer networked environment. More specifically, the disclosure relates to a method and a system for automatically identifying a user for participation in an electronic conversation and/or in a social network.
Social networks include a variety of members who join to meet people, to discuss common issues, to locate information, etc. A social networking platform may include social networking features such as identity, presence, relationships, profiles, groups, conversations, and sharing. In general, a member of a social network has a profile that identifies characteristics of the member for other members of the network and for the social networking platform. The social network can facilitate interaction between members based on associations or relationships identified from the member profiles. A social network may include a plurality of sub-networks and groups that further characterize members. For example, a social network may be associated with a health care organization, a sub-network of the social network may be associated with cancer, and a group of the sub-network may be associated with lung cancer. Social networks may be accessed through a portal, a general website, a phone or a personal digital assistant, etc.
In the commercial sector, on-line merchants have created groups of customers who share common interests in the goods and services offered by the on-line merchant. Some merchants include systems that provide suggestions to their customers based on determined needs of the customer. In such commercial, social networks, customers interact with the merchant, but generally do not interact directly with each other. Additionally, current customer and business intelligence solutions provide information on what the customer is buying based on the interactions with the merchant. This purchasing data, however, only represents a purchase decision at a point in time and does not indicate why the customer selected a product for purchase; what resources were used to inform the buying decision; what the customer's objectives were in making the purchase; what will cause the customer to repeat their transaction; or what will cause other customers to purchase the product. Thus, what is needed is a system and a method that support a conversation between a merchant and/or other members of a social network/sub-network/group so that an understanding of these processes can be obtained.
Exemplary embodiments provide a method and a system for identifying users to participate in an electronic conversation. In other exemplary embodiments, a method and a system for facilitating the electronic conversation among the users is provided. In still other exemplary embodiments, users for inclusion in a social network/sub-network/group are identified. In yet other exemplary embodiments, a method and a system for analyzing the conversation between the users and/or the other members of the social network/sub-network/group is provided.
An exemplary method of automatically identifying users for an electronic conversation is provided. A user interaction indicator is received at a first computer system from a second computer system. The user interaction indicator indicates an interaction by a user at the second computer system with a website. A determination is made concerning whether to initiate an electronic conversation with the user at the second computer system based on predefined criteria and the received user interaction indicator. If a determination to initiate the electronic conversation is made, the electronic conversation with the user at the second computer system is initiated. The electronic conversation may be initiated with a second user of the website, with an agent, and/or with a social network. The agent is a computer generated entity.
In another exemplary embodiment, a computer-readable medium is provided comprising computer-readable instructions that, upon execution by a processor, cause a computing device to automatically identify users for an electronic conversation.
In yet another exemplary embodiment, a device is provided. The device includes, but is not limited to, a processor, a communication interface, and the computer-readable medium. The communication interface operably couples to the processor to receive a user interaction indicator from a computer system using a network. The computer-readable medium operably couples to the processor. The computer-readable medium comprises instructions that, upon execution by the processor, perform the operations of the method of automatically identifying users for an electronic conversation.
Other principal features and advantages of the invention will become apparent to those skilled in the art upon review of the following drawings, the detailed description, and the appended claims.
Exemplary embodiments of the invention will hereafter be described with reference to the accompanying drawings, wherein like numerals denote like elements.
a-4c are flow diagrams illustrating exemplary operations performed by a conversation facilitator application in accordance with an exemplary embodiment.
With reference to
Server system 102 may include a server 108 and a database 110. Server system 102 may include a plurality of servers. Server 108 includes or can access database 110 either through a direct connection or through a second network. The second network may include or otherwise use network 106. Database 110 may include a plurality of databases that may be organized into multiple database tiers to improve data management and access. Database 110 is a data repository for electronic conversation system 100. Database 110 may utilize various database technologies and a variety of different formats as known to those skilled in the art including a simple file system, a relational database, a system of tables, etc. alone or in combination.
In electronic conversation system 100, the plurality of user devices 104 send and receive signals through network 106 to/from server 108 and/or to/from other user devices. Electronic conversation system 100 can include any number and type of user devices that may be organized into subnets. The plurality of client devices 104 may include a first user device 112, a second user device 114, a third user device 116, and a fourth user device 118. The plurality of user devices 104 may include computing devices of any form factor such as a laptop, a desktop, an integrated messaging device, a personal digital assistant, a cellular telephone, an IPod, etc. Electronic conversation system 100 may include additional types of devices. The plurality of user devices 104 communicate using various transmission media that may be wired or wireless.
Server 108 includes or can access database 120 either through a direct connection, a second network, and/or through network 106. Database 120 may include a plurality of databases that may be organized into multiple database tiers to improve data management and access. Database 120 is a data repository for an on-line merchant which may include user profile data associated with a social network application. Database 120 may utilize various database technologies and a variety of different formats as known to those skilled in the art including a simple file system, a relational database, a system of tables, etc. alone or in combination.
With reference to
Display 200 presents information to a user of user device 104a. For example, display 200 may be a thin film transistor display, a light emitting diode display, a liquid crystal display, or any of a variety of different displays known to those skilled in the art.
Input interface 202 provides an interface for receiving information from the user for entry into user device 104a as known to those skilled in the art. Input interface 202 may use various input technologies including, but not limited to, a keyboard, a pen and touch screen, a mouse, a track ball, a touch screen, a keypad, one or more buttons, voice-to-text recognition system, etc. to allow the user to enter information into user device 104a or to make selections presented in a user interface displayed on display 200. Input interface 202 may provide both an input and an output interface. For example, a touch screen both allows user input and presents output to the user. User device 104a may include one or more input interfaces that use the same or different input technologies.
Computer-readable medium 204 is an electronic holding place for information so that the information can be accessed by processor 208 as known to those skilled in the art. User device 104a may have one or more computer-readable media that use the same or a different computer-readable medium technology. Computer-readable medium technologies include, but are not limited to, any type of random access computer-readable medium (RAM), any type of read only computer-readable medium (ROM), any type of flash computer-readable medium, etc. User device 104a also may have one or more drives that support the loading of a computer-readable medium such as a compact disc (CD) or digital versatile disc (DVD) or ports that support connectivity with computer-readable media such as flash drives.
Communication interface 206 provides an interface for receiving and transmitting messages, files, and any other information communicable between devices using various protocols, transmission technologies, and media as known to those skilled in the art. Communication interface 206 may support communication using various transmission media that may be wired or wireless. User device 104a may have one or more communication interfaces that use the same or different protocols, transmission technologies, and media.
Processor 208 executes instructions as known to those skilled in the art. The instructions may be carried out by a special purpose computer, logic circuits, or hardware circuits. Thus, processor 208 may be implemented in hardware, firmware, software, or any combination of these methods. The term “execution” is the process of running an application or the carrying out of the operation called for by an instruction. The instructions may be written using one or more programming language, scripting language, assembly language, etc. Processor 208 executes an instruction meaning that it performs the operations called for by that instruction. Processor 208 operably couples with display 200, with input interface 202, with computer-readable medium 204, and with communication interface 206 to receive, to send, and to process information. Processor 208 may retrieve a set of instructions from a permanent computer-readable medium device and copy the instructions in an executable form to a temporary computer-readable medium device that is generally some form of RAM. User device 104a may include a plurality of processors that use the same or a different processing technology.
A user may execute browser application 210 installed at user device 104a to access a web server application 306, for example, hosted at server 108 depicted in
Electronic conversation application 212 performs operations associated with electronic conversation processes. The operations may be implemented using hardware, firmware, software, or any combination of these methods. With reference to the exemplary embodiment of
With reference to
Computer-readable medium 300 is an electronic holding place for information so that the information can be accessed by processor 304 as known to those skilled in the art. Server 108 may have one or more computer-readable media that use the same or a different computer-readable medium technology. Computer-readable medium technologies include, but are not limited to, any type of RAM, any type of ROM, any type of flash computer-readable medium, any type of long term computer-readable medium storage, etc. Server 108 also may have one or more drives that support the loading of a computer-readable medium such as a CD or DVD or ports that support connectivity with computer-readable media such as flash drives.
Communication interface 302 provides an interface for receiving and transmitting messages, files, and any other information communicable between devices using various protocols, transmission technologies, and media as known to those skilled in the art. Communication interface 302 may support communication using various transmission media that may be wired or wireless. Server 108 may have one or more communication interfaces that use the same or different protocols transmission technologies, and media.
Processor 304 executes instructions as known to those skilled in the art. The instructions may be carried out by a special purpose computer, logic circuits, or hardware circuits. Thus, processor 304 may be implemented in hardware, firmware, software or any combination of these methods. The instructions may be written using one or more programming language, scripting language, assembly language, etc. Processor 304 executes an instruction, meaning that it performs the operations called for by that instruction. Processor 304 operably couples with computer-readable medium 300 and with communication interface 302 to receive, to send, and to process information. Processor 304 may retrieve a set of instructions from a permanent computer-readable medium device and copy the instructions in an executable form to a temporary computer-readable medium device that is generally some form of RAM. Server 108 may include a plurality of processors that use the same or a different processing technology.
Conversation facilitator application 308 performs operations associated with automatically identifying users to participate in an electronic conversation over a network and with implementing an agent. The identified users may be anonymous to each other. The operations may be implemented using hardware, firmware, software, or any combination of these methods. With reference to the exemplary embodiment of
Social network application 310 performs operations associated with a social network. The operations may be implemented using hardware, firmware, software, or any combination of these methods. With reference to the exemplary embodiment of
Interaction processing/reporting application 312 performs operations associated with analyzing the conversations or discussions between the members of the social network. The operations may be implemented using hardware, firmware, software, or any combination of these methods. With reference to the exemplary embodiment of
With reference to
In an exemplary embodiment, browser application 210 responds to operations of web server application 306 to cause presentation of information to a user of user device 104a such as the treatment cost estimator. The user interaction indicator may include a variety of informational entities that can be captured relative to the user interaction with web server application 306 using browser application 210. For example, various data elements available from the user's interaction with a website include, but are not limited to, a search term entry, a data entry, a click stream, a URL selection, a website entry point, a website access time, Internet service provider, a login name, an exit point, and a cookie. Thus, the user interaction indicator may indicate that the user is using the cost treatment indicator and may include data associated with the cost treatment indicator. A treatment cost estimator is provided merely as an example interaction with a website that can be captured and/or identified. Any type of interaction with a website can be captured and utilized by web server application 306.
In an operation 432, a user profile is initialized and/or updated based on receipt of the user interaction indicator. In an exemplary embodiment, as the user navigates the website, the user is logged into conversation facilitator application 308 using a background process. For example, conversation facilitator application 308 may include a chat server implemented using an extensible messaging and presence protocol (XMPP) such as Openfire, created by Jive Software. The chat client may be implemented using a Javascript jabber client as part of functionality supported by conversation facilitator application 308 and implemented by electronic conversation application 212. An agent also may be logged into the conversation facilitator application 308 such as the chat server. The agent is a computer generated entity that may be implemented using a mark-up language such as an artificial intelligence mark-up language, XML, etc. In an exemplary embodiment, the agent is implemented as a Java program which includes instructions to interact with users using XMPP.
A series of user identifiers (IDs) may be pre-defined and stored, for example, in database 110 or database 120 or may be created randomly or dynamically based on information associated with the user. In an exemplary embodiment, when a user enters the website, the agent queries session data to determine which user IDs are in use, assigns an available user ID to the session, and logs the user into conversation facilitator application 308 using the assigned user ID. The agent monitors and tracks the uses interaction with the enabled website during their session by accessing and storing keywords associated with each enabled web page the user visits.
In an operation 434, the user profile information, which includes the keywords and the assigned user ID, may be stored, for example, in database 110 or database 120, accessible by conversation facilitator application 308. Keywords can be read or identified from the website using a variety of mechanisms. For example, keywords can be read from <meta> tags placed on each web page. In an exemplary embodiment, <meta> data with a predefined label may be associated with a web page and used to identify keywords. As another example, keywords can be read from the URL of each web page. Keywords also may be dynamically selectable from the text presented in the web page.
A field of the user profile may include the received user interaction indicator. In an exemplary embodiment, the website may require entry of a user login name and/or a password to access certain functionality of the website. The user profile may be associated with the login name and may be populated prior to the user's access of the website. The user profile may include a variety of data associated with characteristics of the user. Exemplary user profile items may include, but are not limited to:
In operation 436, the user profile is compared with criteria for inviting the user to have a conversation with the agent. In an operation 438, a determination of whether or not to offer the conversation with the agent is made based on the comparison. In an exemplary embodiment the criteria may include a length of time spent on the website and/or keywords identified during the users interaction with the website. For example, after the user's initial interaction with the website is detected through receipt of the user interaction indicator, a timer may be started. After a predefined time period, a determination may be made to make an offer to the user to participate in a conversation with the agent. An example time period is three minutes though any time period may be used and this example is not intended to be limiting. If the offer of the conversation with the agent is to be offered, processing continues at an operation 440. If the offer of the conversation with the agent is not to be offered, processing continues at operation 430. In operation 440, a request is sent to the user to join the conversation with the agent.
For example, with reference to
In an exemplary embodiment, user selection of “Learn More” button 904 prompts conversation facilitator application 308 to present additional information to the user related to use of electronic conversation application 212. In an exemplary embodiment, user selection of “Enter Network” button 906 prompts conversation facilitator application 308 to present a login page to social network application 310 or to present a welcome page to social network application 310. In an exemplary embodiment, user selection of close button 908 prompts conversation facilitator application 308 to close user interface 900. User interface 900 further may include an agent icon 916 which identifies the agent as participating in the conversation. In an exemplary embodiment, user selection of “View Top 10” button 918 prompts conversation facilitator application 308 to present the top ten most active discussions conducted using social network application 310.
In an operation 442, a response is received from the user. In an operation 444, a determination of whether or not to initiate the conversation with the agent is made based on the received response. If the offer of the conversation with the agent is accepted, processing continues at an operation 446. If the offer of the conversation with the agent is not accepted, processing continues at operation 448.
In operation 446, the conversation is initiated and conducted between the user at user device 104a and the agent. The conversation may be presented using browser application 210 or electronic conversation application 212. For example, after user selection of first response option 914, user interface 900, shown with reference to
The agent scans responses of the user(s) for keywords and phrases using a natural language search engine to populate suggestions and answers and to return relevant information to the user. Thus, the agent attempts to gain enough information to make an intelligent product or discussion recommendation. For example, if a product match is found, the agent may respond with “Here is a product X from company Y you might like”. If no product match is found, the agent may suggest that the user select “Enter Network” button 906 or hyperlink 1010 to look for more information. A user tag cloud may be generated from both the responses of the user and the keywords identified during the user's interaction with web server application 306 and/or conversation facilitator application 308. Recommendations may be presented to the user in the form of a hyperlink. In an exemplary embodiment, the tag cloud generation and product/discussion suggestion process is implemented as follows:
When a user accepts an electronic conversation, the session keywords and any conversation elements may be incorporated into a root word list which is “weighted” based on the number of times the root word is used in the conversation. For example, a user tag cloud between two users talking about Caribbean vacations might include: Caribbean—5; travel—6; virgin—2; island—5; ship—1; etc. The text of the conversation may be evaluated as a word stream. A list of “stop words, such as common words like “the”, “my”, “and”, etc. may not be considered useful to the tag cloud and, as a result, may not be included in the tag cloud. The remaining words may be reduced to their root form to identify similar words in their most common form. For example, travel, traveling, and traveled may all be reduced to ‘travel’.
In the social network associated with the website, discussions may have an associated tag cloud which is generated as the user's post comments to a discussion between users of social network application 310. In addition, a product list may be provided initially for recommendation to users during a conversation based on the website associated with the social network. The product list may include a product description and keywords defined for each product. The product list also may be included in a product tag cloud. During an electronic conversation, a comparison of the user tag cloud to the discussion tag cloud and/or product tag cloud is performed. In an exemplary embodiment, matching keywords are identified and a match value is calculated by adding the weights of matching root words. A product or discussion with the highest match value may be considered a best match. A threshold can be defined and associated with a product match and/or a discussion match. The threshold controls can be defined to make it easier or harder to identify a product or discussion for suggestion during the electronic conversation. For example, if the product threshold is set at “10” and the discussion threshold is set at 100, it is more likely that a product is recommended than a social network discussion during an electronic conversation.
Thus, as the user interacts with electronic conversation application 212, a response is received from the user at user device 104a and ultimately by conversation facilitator application 308. A determination may be made concerning whether or not a keyword is identified in the received response. Identified keywords are added to the user tag cloud associated with the electronic conversation that also may include interaction indicators identified during the user's interaction with the website. A suggestion may be inserted into the electronic conversation based on a comparison with the highest match value between the user tag cloud and a tag cloud associated with one or more suggestions and a match threshold value associated with the one or more suggestions. If the highest match value satisfies a comparison with the match threshold value the suggestion may be sent to the user devices participating in the electronic conversation as a suggestion by the agent.
Additionally, if a keyword is identified, a search may be executed by conversation facilitator application 308 using the identified keyword. For example a search of the website may be executed. Alternatively or additionally, a search using a search engine such as the Google™ search engine may be executed. A determination of whether or not a matching search result was identified from the executed search is made. If a matching search result is identified the matching search result is sent to the user at user device 104a and presented to the user. For example a link to a web page having information related to the topic of interest to the user is sent to user device 104a for presentation using browser application 210 or electronic conversation application 212. As the conversation is conducted with the agent the user profile is updated and stored for example in database 110 or database 120.
After user selection of “View Top 10” button 918 user interface 900, shown with reference to
In operation 448, a determination is made concerning whether or not other users are using the website. If no other users are using the website, the electronic conversation is continued at operation 446. If other users are using the website, processing continues at an operation 450. In operation 450, a determination is made concerning whether or not to offer participation in a multi-user conversation is to be made to the user. In an exemplary embodiment, the criteria may include a length of time spent on the website and/or keywords. For example, after the user's initial interaction with the website is detected through receipt of the user interaction indicator, a timer may be started. After a predefined time period, a determination may be made to make an offer to the user to participate in a multi-user conversation. An example time period is two minutes though any time period may be used. If no offer is to be made, the electronic conversation is continued at operation 446.
In operation 452, the user profile(s) of the other user(s) are compared with the user profile of the user at user device 104a. The comparison between the user profiles identifies users having similar interests and needs, for example, based on common keywords identified between the user profiles. The “match level” defined before multiple users are considered to have similar interests and can be invited to the same conversation may include multiple levels of keywords. As an example, a set of users on a site may be tagged as follows:
Based on the match-level threshold specified, the users may be ‘matched’ as follows:
In operation 453, a determination is made concerning whether or not to offer participation in a multi-user conversation to the user. In an exemplary embodiment, a match level of two is used to initiate a multi-user electronic conversations. If the offer of the conversation with the one or more other users is to be offered, processing continues at an operation 454. If the offer of the conversation with the one or more other users is not to be offered, the electronic conversation is continued at operation 446. In operation 454, a request is sent to the user to join the conversation with the one or more other users and the agent. An invitation and an introduction is made through the agent that translates information from the user profile and the user profile comparison into a welcoming statement to entice the user into the electronic conversation. In an operation 456, a response is received from the user at the user device 104a. In an operation 458, a determination of whether or not to initiate the conversation with the one or more other users and the agent is made based on the received response. If the offer of the conversation with the one or more other users and the agent is accepted, processing continues at an operation 460. If the offer of the conversation with the one or more other users and the agent is not accepted, the electronic conversation is continued at operation 446. In operation 460, the conversation is initiated with the user at user device 104a and continues until one or more of the users choose to exit the conversation. If users leave a multi-user conversation, the agent may attempt to engage the last remaining user in a single-user conversation using information from the previous conversation to make a product and/or discussion suggestion.
In an exemplary embodiment, the one or more other users may already be participating in an electronic conversation and the user at user device 104a joins the conversation. The conversation may be presented using browser application 210 or electronic conversation application 212. For example, with reference to
User customization section 508 may include a user name text box 528, a user name change button 529, a user icon selector 530, a profile viewer button 532, and a profile editor button 534. User name text box 528 displays a name of the user at user device 104a. The name is associated with the user and is displayed for the user in entity list 504 and for the user in user identifier 520. The user can edit their name by selecting user name change button 529. Selection of user name change button 529 causes a text box to be presented to the user. The user can enter a desired name in the text box. Selection of user icon selector 530 allows a user to select an icon included in entity list 504 to represent the user. For example, the user may select from an icon indicating that the user is female or is male. Selection of profile viewer button 532 allows the user to view their user profile. Selection of profile editor button 534 allows the user to edit their user profile. The user participates in the conversation by entering statements in conversation text entry field 510.
With reference to
In editing the user profile, a user may have the option to select one or more anonymity level. In an exemplary embodiment, the user may select sub-networks/groups of the social network in which the user's profile may be shared. Additionally, or in the alternative, the user may select each item of the user profile which may be shared. In this way, the user has control of the data captured during interactions with the website and/or social network. The user may select the anonymity levels by selecting preferences edit item 606, profile edit item 608, and/or agent edit item 606.
The agent listens to the conversation and inserts statements as appropriate based on the conversation. For example, a tag cloud is created which represents what the users are discussing. The tag cloud also may include the keywords used to identify the users and to initiate the invitation to enter the conversation. The tag cloud may be periodically compared to a listing of products that may be associated with the website, and/or to the content of discussions within a social network associated with the website. When a match is identified, the agent suggests the product to the conversation participants. Product links may take the user directly to the product page. Discussion links may cause presentation of a login page of social network application 310 or of present a welcome page to social network application 310. The frequency of interjections by the agent in the multi-user conversation may be dynamic and configurable. For example, if the users are actively conversing the agent may only interject with suggestions every ‘X’ number of conversation exchanges between the conversation participants. If the users stop actively conversing, but do not actually exit electronic conversation application 212, the agent may interject suggestions every ‘Y’ number of seconds. The timer resets each time a user makes a conversation entry.
An exemplar conversation may include the following series of statements:
In parallel with the operations described with reference to operations 436-460, or separate from the operations described with reference to operations 436-460, the operations described with reference to
In operation 410, an offer to join the social network is sent to the user at user device 104a. For example, the offer is presented to the user of user device 104a in a user interface of browser application 210. In an operation 412, a response is received from the user at user device 104a. For example, user selection of a “Yes” button or of a “No” button may be received. In an operation 414, a determination of whether or not to add the user to the social network is made based on the received response. If the offer of membership in the social network is accepted, processing continues at an operation 416. If the offer of membership in the social network is not accepted, processing continues at operation 430. In operation 416, the user is added to the social network. For example, a user name and a password may be requested from the user. Additionally, a request may be sent to the user at user device 104a to enter or to modify data entered in the user profile. Attributes of the user profile may be automatically entered, but can be modified by the user. Both entries may be saved together or separately. Before presenting the user profile to the user, the user may be asked how long they want to spend in completing their user profile. If no attributes of the user profile are received from the user at user device 104a, a prompt may be sent to the user to enter required attributes of the user profile. In an operation 418, the user profile is updated and saved.
A plurality of user profiles may be maintained for each user of the social network. For example, a company profile, which generally already exists, may be defined based on user membership in an organization. For example, a user company profile may be defined for a user that is a member of a health care organization. A second user profile may be developed through user interaction with the website electronic conversations with the agent or other users, etc. The user profile data elements may be populated automatically as they are identified by the agent based on interactions with the users at various points in time. Additionally, the agent may ask a series of questions about the user during these interactions. The user's answers may be used to populate both user profiles.
In an operation 420, the user at user device 104a is provided with a user interface to social network application 310. In an exemplary embodiment. User 1 and User 2 decide to join the social network and are directed to a group already discussing fertility through blogs, postings, and other information accessible using social network application 310. With reference to
User interface 700 may be presented in browser application 210 and/or electronic conversation application 212 at user device 104a. For example, user interface 700 may be accessed by the user using browser application 210 and a URL associated with the website. User interface 700 may include search query section 502 entity list 504, conversation tracker 506, user customization section 508, conversation text entry field 510, and an information presentation section 702. The agent also participates in the social network. The agent listens to the conversation and inserts statements as appropriate based on the conversation. Information presentation section 702 provides additional information to the user such as a blog related to a topic of interest to the user. User interface 700 additionally may include a user profile manager, a session record capability, an invite others capability, an internal search capability, and an external search capability.
Through use of conversation facilitator application 308 and social network application 310, interactions with and between users can be monitored throughout an entire product adoption process. A product adoption process may include 1) identifying a need, 2) investigating solutions to the identified need, 3) evaluating the solution options, 4) selecting a solution from the solution options, 5) integrating/implementing the selected solution, 6) using the integrated solution, 7) measuring the performance of the solution, and 8) referring other to the solution. Users identify their needs by visiting a website to look for solutions. Conversation facilitator application 308 and social network application 310 support interactions that help users identify solutions to their needs through interactions with others and/or through interactions with the agent.
With reference to
User interface 800 may be presented in browser application 210 at user device 104a. User interface 800 may include search query section 502, entity list 504, conversation tracker 506, user customization section 508, conversation text entry field 510, and a network information presentation section 802. Network information presentation section 802 allows a user to visualize what is happening in the network using data mining tools, a natural language search engine, and personalized data analyzers. The data presented in user interface 800 may be updated as the information in the user profiles is received. For example, a user works in MyHealth's marketing group and uses interaction processing/reporting application 312 to access daily reports associated with their area of responsibility. Thus, the user of interaction processing/reporting application 312 may be an employee of the company associated with the website or a user obtaining information from or associated with the website. The user of interaction processing/reporting application 312 obtains reports based on interactions with the website, with the agent, with the other users of the website, and/or with the social network. Preparation of the reports may include use of data filters, use of viewers, and use of data mining tools that are driven by keywords and nontrivial events that happen within the social network. An adoption process indicator associates each user interaction indicator with an indicator that determines its phase in the adoption process to determine the amount and types of resources a user may invest in a particular stage in the process.
In an exemplary embodiment, interaction processing/reporting application 312 may include a filtering tool that allows users to mine the most discussed/searched topics in the social network and communities within the social network. For example, the most discussed topics may be determined based on a frequency of additions and/or a frequency of hits. The most discussed topics may be filtered by segment, by demographic group, by community, by social network, by location, etc. The segment may be defined by a company segmentation schema and data structure through integration of the company's data structure with the user profile. The demographic group may be defined based on the user profile. As another example, a least discussed, but most frequently visited topic may be determined.
In an exemplary embodiment, interaction processing/reporting application 312 may include a search tool that can perform searches based on a keyword, related phrases, a product, a segment, a purchase, a transaction, a fad topic, etc. For example, a time that a fad topic remains of interest may be determined using the search took. The search functionality may be provided to a user of user interface 800 of interaction processing/reporting application 312, to a user of user interface 700 of social network application 310, and/or to a user of user interface 500 of the electronic conversation system.
In an exemplary embodiment, interaction processing/reporting application 312 may include an extended network analyzer tool to understand the influencers, advisors, and relationships that members of the social network have. These can include other social networks, companies, non-profits, blogs, etc. A cookie may be created to track the entry and exit points of each member of the social network. The entry and exit point information may be categorized and sorted by community, by segment, and/or by topic. Using this information, relevant websites may be identified. The identified relevant sites may be searched automatically. Additionally or in the alternative, the extended network analyzer tool may search the social network for websites identified by users in their profiles, in their personal pages, in their scrapbooks/file cabinets, and in their communities.
In an exemplary embodiment, interaction processing/reporting application 312 may include a community demographics characterization tool to understand the similarities of members of communities within the social network. The community demographics characterization tool helps understand potential new segments, segments belonging to communities, needs of community members, the adoption process stage, etc. For each community, a summary profile may be created to summarize the profiles in the community. The various types of profile data are translated into the various stages of the adoption process. The stage in the adoption process may be determined by an evaluation of a purchasing history, of a number of interactions with customer service, of a total number of interactions with the company (online and offline), of interactions associated with a topic, of a number of trusted advisor interactions, of trusted advisor classifications present in the community, etc.
In an exemplary embodiment, interaction processing/reporting application 312 may include a segmentation tool to identify how segments evolve in a community so that new and emerging needs can be identified; new product/service opportunities can be uncovered; current products not meeting user needs can be identified, etc. User profiles may be linked to a current segment of the company associated with the user. Segmentation may also be based on the community; on community needs, on a segment value proposition based on what the community values, on a segment based on an unmet community need, on the adoption cycle, etc.
In an exemplary embodiment, interaction processing/reporting application 312 may include a marketing tool that creates strategic marketing insights and that supports tactical marketing decisions. The marketing tool may provide search engine optimization analysis based on the most searched topics of the community and/or the most relevant topics and types of communication users want. Transaction data may be linked to the most frequently used and searched topics.
In an exemplary embodiment, interaction processing/reporting application 312 may include a questionnaire/survey tool to poll the social network. Polling may be conducted by a user of user interface 800 of interaction processing/reporting application 312 and/or by a user of user interface 700 of social network application 310. Permission may be obtained from the communities and/or individuals to use the questionnaire/survey tool. Limits may be set by the creator of the community relative to the complexity of the questionnaire or survey such as the number of questions, the number of multiple choice versus free form answers, etc., relative to who can create a questionnaire, relative to a frequency of surveys, etc. In an exemplary embodiment, interaction processing/reporting application 312 may include an evaluation tool that allows reports to be generated from the survey answers. Survey answers may be grouped by characteristics of users, communities, and segments.
In an exemplary embodiment, interaction processing/reporting application 312 may include a panel tool that supports a continuous active interaction between a company and customers. For example, an employee of the company may invite social network members to a panel event.
In an exemplary embodiment, interaction processing/reporting application 312 may include a marketing understanding tool to help companies understand what mechanisms to use in communicating with customers, who customers consider trusted sources, when to communicate with customers, how often to communicate with customers, and/or how to protect communication information. The marketing understanding tool mines conversations to understand the types of conversations customers want to have. The types of conversations may range from burst (short snippets of information) to in-depth (large pieces of information that provide all relevant info). Marketing statistics data may be used in combination with data from the social network to understand the frequency of communication that segments or members want.
In an exemplary embodiment, interaction processing/reporting application 312 may include a competitive analysis tool to provide a customer perspective of the competition. The competitive analysis tool may include a graphical display showing the valuation of the competition based on conversations within the network and by specific segments. The competitive analysis tool may include a competitive profile developed based on feedback from the social network. The competitive analysis tool may include a bulletin created when a competitor or a competitor's product/service has a high level of interest or discussion within the social network. The competitive analysis tool may include a competitive product/service value evaluation based on complaints about the competitive product/service. The competitive analysis tool may provide an evaluation of competition by segment. The competitive analysis tool may include a favorite solution for a problem.
In an exemplary embodiment, interaction processing/reporting application 312 may include a product/service discussion tool to provide insight into the current use, problems with, positive attributes of, support for, and new opportunities for products and services. The product/service discussion tool may evaluate product use for a segment, a community, or a smaller grouping by combining company purchase data, customer company product/service interactions, and the product/service discussion data in the community. The product/service discussion tool may evaluate how well needs are being met by products/services using the most discussed topics by segment/community. Additionally, the user interaction data may be searched automatically for the company's product names and the competitor's product names.
In an exemplary embodiment, interaction processing/reporting application 312 may include a loyalty identification tool to determine where a customer fits on the loyalty spectrum based on their willingness to solve their needs with solutions provided by the company. When a user is tagged as having reached the advocacy stage in the adoption process, the user is identified and the company is made aware of their loyalty value. A lifetime value of a customer can be determined based on their interactions and how loyal they are.
In an exemplary embodiment, interaction processing/reporting application 312 may include a marketing automation tool to create marketing collateral that can be delivered to the network. The marketing automation tool may identify a list of constituents for which the marketing collateral is relevant. The marketing automation tool may measure the success of a marketing campaign, for example, based on a discussion rate, a discussion longevity, and a time from mailing to generation of a discussion related to the campaign.
In an exemplary embodiment, interaction processing/reporting application 312 may include a relationship and data visualization tool to provide a variety of views of different segments of the social network. The different views may be determined based on data contained within a user profile.
In an exemplary embodiment, interaction processing/reporting application 312 may include a sales and business development tool to provide new types of data to both sales and business development. The new types of data may be linked to a group of customers or a specific customer and may detail the topics/areas of concern for a specific customer to identify customer needs, product usage, emerging needs, competitive perception, customer strategies, etc. A high level report for business development may identify other companies being discussed in the social network and the context in which they are relevant.
The word “exemplary” is used herein to mean serving as an example instance, or illustration. Any aspect or design described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other aspects or designs. Further, for the purposes of this disclosure and unless otherwise specified, “a” or “an” means “one or more”. The exemplary embodiments may be implemented as a method, apparatus, or article of manufacture using standard programming and/or engineering techniques to produce software, firmware, hardware, or any combination thereof to control a computer to implement the disclosed embodiments.
The foregoing description of exemplary embodiments of the invention has been presented for purposes of illustration and of description. It is not intended to be exhaustive or to limit the invention to the precise form disclosed, and modifications and variations are possible in light of the above teachings or may be acquired from practice of the invention. The functionality described may be implemented in a single executable or application or may be distributed among modules that differ in number and distribution of functionality from those described herein. Additionally, the order of execution of the functions may be changed. The embodiments were chosen and described in order to explain the principles of the invention and as practical applications of the invention to enable one skilled in the art to utilize the invention in various embodiments and with various modifications as suited to the particular use contemplated.
This application claims the benefit under 35 U.S.C. § 119(e) of U.S. Provisional Patent Application Ser. No. 60/865,721 that was filed Nov. 14, 2006, the disclosure of which is incorporated by reference in its entirety.
| Number | Date | Country | |
|---|---|---|---|
| 60865721 | Nov 2006 | US |
