Abstract: A system can monitor event data corresponding to a current user experience of a requesting user during a current application session with a network service. Based on the event data, the system generates one or more representations corresponding to the current user experience of the requesting user, and executes a machine learning model to process the one or more representations in order to predict a negative user experience for the requesting user within a future time frame during the current application session. In response to predicting the negative user experience, the system implements one or more corrective actions during the current application session through the service application to prevent or mitigate the predicted negative user experience.

Abstract: A computing system can receive event data corresponding to a user's experience with a network service. Based on the event data, the system can generate a set of representations that correspond to the user's experience with the network service. The representations may be analyzed and/or filtered by an artificial intelligence model executing on the computing system, which can predict negative experiences of users at future time intervals. Based on these predictions, the computing system can implement a set of corrective actions to steer the user experience to a more positive path.

Abstract: Computer systems and methods incorporate user annotations (metadata) regarding various pages or sites, including annotations by a querying user and by members of a trust network defined for the querying user into search and browsing of a corpus such as the World Wide Web. A trust network is defined for each user, and annotations by any member of a first user's trust network are made visible to the first user during search and/or browsing of the corpus. Users can also limit searches to content annotated by members of their trust networks or by members of a community selected by the user.

Abstract: A technique for determining the effectiveness of an offer includes analyzing views, clicks, acceptances and satisfactions of the offer. Transaction data is retrieved to determine whether criteria of the offer has been satisfied. As a result, a total cost per transaction may be determined for an advertisement campaign that incorporates the offer. Further, detailed queries may be issued to identify areas in which the offer needs improvement.

Abstract: A technique for tracking conversion of an online offer includes tracking online and/or offline transactions. A customer accepts an offer provided by a merchant and submits his or her account information so that he or she may receive a reward for satisfying criteria associated with the offer. Transactions of the merchant are then monitored at the payment processor level to determine whether the customer satisfies the purchase criteria. Therefore, online and offline conversion can both be tracked. Further, the merchant is able to determine the overall effectiveness of advertising campaigns by analyzing the number of offers that are both accepted and satisfied.

Abstract: Computer systems and methods incorporate user annotations (metadata) regarding various pages or sites, including annotations by a querying user and by members of a trust network defined for the querying user into search and browsing of a corpus such as the World Wide Web. A trust network is defined for each user, and annotations by any member of a first user's trust network are made visible to the first user during search and/or browsing of the corpus. Users can also limit searches to content annotated by members of their trust networks or by members of a community selected by the user.

Abstract: A technique for tracking conversion of an online offer includes tracking online and/or offline transactions. A customer accepts an offer provided by a merchant and submits his or her account information so that he or she may receive a reward for satisfying criteria associated with the offer. Transactions of the merchant are then monitored at the payment processor level to determine whether the customer satisfies the purchase criteria. Therefore, online and offline conversion can both be tracked. Further, the merchant is able to determine the overall effectiveness of advertising campaigns by analyzing the number of offers that are both accepted and satisfied.

Abstract: A technique for tracking conversion of an online offer includes tracking online and/or offline transactions. A customer accepts an offer provided by a merchant and submits his or her account information so that he or she may receive a reward for satisfying criteria associated with the offer. Transactions of the merchant are then monitored at the payment processor level to determine whether the customer satisfies the purchase criteria. Therefore, online and offline conversion can both be tracked. Further, the merchant is able to determine the overall effectiveness of advertising campaigns by analyzing the number of offers that are both accepted and satisfied.

Abstract: A technique for determining the effectiveness of an offer includes analyzing views, clicks, acceptances and satisfactions of the offer. Transaction data is retrieved to determine whether criteria of the offer has been satisfied. As a result, a total cost per transaction may be determined for an advertisement campaign that incorporates the offer. Further, detailed queries may be issued to identify areas in which the offer needs improvement.

Abstract: A computing system can receive event data corresponding to a user's experience with a network service. Based on the event data, the system can generate a set of representations that correspond to the user's experience with the network service. The representations may be analyzed and/or filtered by an artificial intelligence model executing on the computing system, which can predict negative experiences of users at future time intervals. Based on these predictions, the computing system can implement a set of corrective actions to steer the user experience to a more positive path.

Abstract: Computer systems and methods incorporate user annotations (metadata) regarding various pages or sites, including annotations by a querying user and by members of a trust network defined for the querying user into search and browsing of a corpus such as the World Wide Web. A trust network is defined for each user, and annotations by any member of a first user's trust network are made visible to the first user during search and/or browsing of the corpus. Users can also limit searches to content annotated by members of their trust networks or by members of a community selected by the user.

Abstract: Systems, methods, and computer program products are disclosed for asking and searching for the answer to given questions, retrieving answers to such questions, as well as presenting such answers in a user-generated content style framework on a search engine. The system of the present invention comprises a question processor, operative to determine whether a question entered by a user has been previously answered, an answer data store storing answers to previously asked questions stored therein, an answer repository storing questions not yet answered by another user, and an editor tool operative to format an answer stored in the answer data store into user-generated content style and migrate the answer to a user-generated content style web page.

Abstract: A technique for tracking conversion of an online offer includes tracking online and/or offline transactions. A customer accepts an offer provided by a merchant and submits his or her account information so that he or she may receive a reward for satisfying criteria associated with the offer. Transactions of the merchant are then monitored at the payment processor level to determine whether the customer satisfies the purchase criteria. Therefore, online and offline conversion can both be tracked. Further, the merchant is able to determine the overall effectiveness of advertising campaigns by analyzing the number of offers that are both accepted and satisfied.

Abstract: Computer systems and methods allow users to annotate content items found in a corpus such as the World Wide Web Annotations, which can include any descriptive and/or evaluative metadata related to a document, are collected from a user and stored in association with that user. Users are able to annotate and view their annotations for any document they encounter while interacting with the corpus, including hits returned in a search of the corpus. Users are also able to search their annotations or to limit searches to documents they have annotated. Metadata from annotations can also be aggregated across users and aggregated metadata applied in generating search results.

Abstract: Computer systems and methods incorporate user annotations (metadata) regarding various pages or sites, including annotations by a querying user and by members of a trust network defined for the querying user into search and browsing of a corpus such as the World Wide Web. A trust network is defined for each user, and annotations by any member of a first user's trust network are made visible to the first user during search and/or browsing of the corpus. Users can also limit searches to content annotated by members of their trust networks or by members of a community selected by the user.

Abstract: Computer systems and methods incorporate user annotations (metadata) regarding various pages or sites, including annotations by a querying user and by members of a trust network defined for the querying user into search and browsing of a corpus such as the World Wide Web. A trust network is defined for each user, and annotations by any member of a first user's trust network are made visible to the first user during search and/or browsing of the corpus. Users can also limit searches to content annotated by members of their trust networks or by members of a community selected by the user.

Abstract: Computer systems and methods allow users to annotate content items found in a corpus such as the World Wide Web. Annotations, which can include any descriptive and/or evaluative metadata related to a document, are collected from a user and stored in association with that user. Users are able to annotate and view their annotations for any document they encounter while interacting with the corpus, including hits returned in a search of the corpus. Users are also able to search their annotations or to limit searches to documents they have annotated. Metadata from annotations can also be aggregated across users and aggregated metadata applied in generating search results.

Abstract: A method and apparatus for generating search results including searching by subdomain and providing sponsored results by subdomain is provided. A search system according to embodiments of the present invention analyzes search queries to determine if they are to be routed to subdomains and presents results include sponsored hits sponsored on a subdomain by subdomain basis.

Abstract: A method and apparatus for generating search results including searching by subdomain and providing sponsored results by subdomain is provided. A search system according to embodiments of the present invention analyzes search queries to determine if they are to be routed to subdomains and presents results include sponsored hits sponsored on a subdomain by subdomain basis.

Abstract: A method and apparatus for generating search results including searching by subdomain and providing sponsored results by subdomain is provided. A search system according to embodiments of the present invention analyzes search queries to determine if they are to be routed to subdomains and presents results include sponsored hits sponsored on a subdomain by subdomain basis.