Abstract: Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.

Abstract: Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.

Abstract: Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.

Abstract: Computers and methods are provided for receiving a search request sent by a computer associated with a user. A set of documents comprising a plurality of documents that satisfy the search request is identified. At least some documents in the plurality of documents have previously been annotated by at least one user of a plurality of users. A response to the search request is sent. The response includes a ranked set of links to at least some of the plurality of documents that satisfy the search request. At least some of the links are to documents that have previously been annotated by at least one user of the plurality of users. The response is associated with instructions to display one or more corresponding annotations for at least some of the links to documents that have previously been annotated by at least one user of the plurality of users. The response is further associated with instructions to display a filter selector including one or more filter options to reduce the identified set of documents.

Abstract: Computers and methods are provided for receiving a search request sent by a computer associated with a user. A set of documents comprising a plurality of documents that satisfy the search request is identified. At least some documents in the plurality of documents have previously been annotated by at least one user of a plurality of users. A response to the search request is sent. The response includes a ranked set of links to at least some of the plurality of documents that satisfy the search request. At least some of the links are to documents that have previously been annotated by at least one user of the plurality of users. The response is associated with instructions to display one or more corresponding annotations for at least some of the links to documents that have previously been annotated by at least one user of the plurality of users. The response is further associated with instructions to display a filter selector including one or more filter options to reduce the identified set of documents.

Abstract: A method, system, and graphical user interface for improved web searching via user-specified annotations are disclosed. One aspect of the invention involves a graphical user interface on a computer that includes a ranked set of links responsive to a search request by a user. At least some of the links are to documents that have not previously been annotated by the user and at least some of the links are to documents that have previously been annotated by the user. The graphical user interface also includes one or more corresponding annotations previously created based on the user's input for at least some of the links to documents that have previously been annotated by the user.

Abstract: Methods, systems, and graphical user interfaces for improved searching via user specified ratings are disclosed. A rating icon for a document in a group of documents is provided. A user rates the document in the group of documents by performing a selection operation on the rating icon. A user-specific rating for the document is generated based on the user rating. A search request is received from a user. A plurality of documents that satisfy the search request are identified (including a first respective document which not previously been rated by the user but is in the group of documents that included the rated document.) A response to the search request is sent. The response includes instructions to display a ranked set of links to at least some of the documents that satisfy the search request including a link to the first respective document displayed with the user-specific rating.

Abstract: Systems and methods for predicting content performance with interest data include receiving a content selection request that includes a client identifier. One or more topical interest categories associated with the client identifier may be used as inputs to a prediction model to predict the likelihood of an online action occurring as a result of third-party content being selected. The predicted likelihood may be used to select third-party content.

Abstract: Systems and methods for providing online content include analyzing history data indicative of visited webpages. Topics of the visited webpages may be analyzed to identify an interest category from which content may be provided. A visited webpage may also be analyzed to determine a geographic location associated with an interest category. The interest category and its associated geographic location may be used to generate an interest category profile. Content may be selected and provided to a device based in part on the IC profile.

Abstract: A computer-implemented method includes receiving a computer-implemented model adapted to process past online behavior of a user identifier of a networked computing device and determine an online activity type associated with the user identifier based on the past online behavior of the user identifier. The method also includes receiving data representing past online behavior of the user identifier of the networked computing device. The method also includes processing the model and the data representing past online behavior of the user identifier of the network computing device to determine an online activity type associated with the user identifier. The method also includes and providing information about the online activity type to a content selection server to facilitate selection of content to be presented to the user identifier.

Abstract: A computer-implemented method includes receiving a computer-implemented model to process parameters of a content delivery campaign and a bid price for delivery of content in content delivery slots. The price to be paid is based on a losing bid. Processing the parameters and bid price determines an estimated price to be paid for the delivery of content and a metric describing an estimated result of the content delivery campaign. The method also includes receiving parameters of the content delivery campaign and the price to be bid for delivery of content. The method also includes processing the model and the price to be bid to determine the estimated price to be paid and the metric describing the estimated result of the content delivery campaign. The method also includes providing information about the estimated price and the estimated result to a content provider to facilitate selection of a final bid price.

Abstract: Systems, apparatus, and methods allow for revenue sharing between data providers and web page publishers. In one aspect, a computer-implemented method includes: receiving a request for alternative content based on a request for content; receiving user identifier data from at least one data provider; selecting at least one first alternative content from a first pool of alternative content that is contextually related to the requested content; determining a first cost of the at least one first alternative content; selecting, by at least one processing circuit, at least one second alternative content from the first pool, and from the second pool of alternative content that is related to the user identifier data; determining a second cost of the at least one second alternative content; and determining a pricing value of the user identifier data based on a difference between the second and the first costs.

Abstract: A method, system, and graphical user interface for improved web searching via user-specified annotations are disclosed. One aspect of the invention involves a computer-implemented method in which a search engine receives a user's ratings of some, but not all, web pages associated with a group of web pages. The group of web pages is selected from the group consisting of web pages in a particular web site and web pages in a particular subunit of a web site. The search engine generates a user-specific site rating for the group of web pages based on the user's ratings for web pages in the group of web pages. The search engine uses the generated site rating for the group of web pages when responding to a search query from the user.

Abstract: Systems and techniques are described for splitting user-lists. A described technique includes obtaining a master user-list, the master user-list including object identifiers that are respectively associated with web clients; obtaining a splitting factor that controls a splitting of the master user-list; creating a reduced user-list from the master user-list based on the splitting factor such that the reduced user-list maintains a statistical fidelity of the master user-list, the reduced user-list including fewer than all of the object identifiers included in the master user-list; and providing the reduced user-list.

Abstract: A method, system, and graphical user interface for improved web searching via user-specified annotations are disclosed. One aspect of the invention involves a graphical user interface on a computer that includes a ranked set of links responsive to a search request by a user. At least some of the links are to documents that have not previously been rated by the user and at least some of the links are to documents that have previously been rated by the user. The links are displayed in an order that depends at least in part on the ratings of the documents that have previously been rated by the user.

Abstract: A system and method for using a user profile to order placed content in search results returned by a search engine. The user profile is based on search queries submitted by a user, the user's specific interaction with the documents identified by the search engine and personal information provided by the user. Placed content is ranked by a score based at least in part on a similarity of a particular placed content to the user's profile. User profiles can be created and/or stored on the client side or server side of a client-server network environment.