Abstract: The systems and methods of the present invention provide for a number of improvements to the TV consumption process, including personalization, community viewing, shared presence and context, messaging, access to ratings and recommendations (including community reviews), alerts, etc. One method that the present invention provides allows for the indication of a given user's context to be provided to other users, such as users in the given user's social network. The method comprises generating an indication of a change in context for a given user, the context comprising information regarding an action of the given user. The indication of the change in context for the given user is propagated to one or more users in the social network for the given user. The indication of the change in context of the given user is presented to users in the given user's social network in conjunction with TV content.

Abstract: A digital document is represented as a set of codes comprising indices into a feature space comprising a number of subspaces, each code corresponds to one subspace and identifying a cell within the subspace. Each digital document can be represented by a code set, and the code set can be used as selection criteria for identifying a number of digital documents using each digital document's corresponding code set. By way of some non-limiting examples, digital document code sets can be used to identify similar or different digital images, used to identify duplicate or nearly-duplicate digital images, used to identify similar and/or different digital images for inclusion in a recommendation, used to identify and rank digital images in a set of search results.

Abstract: Software on a content-aggregation website obtains a resource associated with a podcast from a website publishing the podcast and stores it e resource on the content-aggregation website. The software adds the resource as a leaf node to a taxonomy generated by the content-aggregation website. The addition is based on data associated with the podcast. The non-leaf nodes in the taxonomy are categories of content. The software determines that a user of the content-aggregation website is qualified as to at least one category that includes the resource as a leaf node. The determination is based at least in part on feedback from the user that includes a viewing or listening history for the user. Then the software serves the resource to the user in a content stream published by the content-aggregation website, based at least in part on a personalization score associated with the resource.

Abstract: A method of targeting receives several granular events and preprocesses the received granular events thereby generating preprocessed data to facilitate construction of a model based on the granular events. The method generates a predictive model by using the preprocessed data. The predictive model is for determining a likelihood of a user action. The method trains the predictive model. A system for targeting includes granular events, a preprocessor for receiving the granular events, a model generator, and a model. The preprocessor has one or more modules for at least one of pruning, aggregation, clustering, and/or filtering. The model generator is for constructing a model based on the granular events, and the model is for determining a likelihood of a user action. The system of some embodiments further includes several users, a selector for selecting a particular set of users from among the several users, a trained model, and a scoring module.

Abstract: A method for providing an interface for a television device is provided, including the following method operations: identifying available services for consumption on a television device, wherein the available services include two or more of a broadcast television service, an on-demand video service, and an internet content service; determining a current date and time; determining content items available for consumption from each of the available services at the current date and time; determining an allocation of display locations in a cross-platform interface for content items from each of the available services, the allocation defining a relative amount of display locations for each of the available services based on a device profile associated with the television device; assigning content items to the display locations in accordance with the determined allocation.

Abstract: Methods and systems for generating a dense graph are described. One of the methods includes receiving a graph and computing a threshold to apply to the graph. The method further includes determining whether the graph includes a first set of at least one node, determining whether a second set of at least one node from the first set meets the threshold, and removing the at least one node of the second set concurrently from the graph upon determining that the at least one node of the second set meets the threshold. The operation of removing is performed to generate an updated graph. The method includes determining whether a density of the updated graph is greater than a density of the graph and replacing the graph within the updated graph upon determining that the density of the updated graph is greater than the density of the density of the graph.

Abstract: One or more messages may be selected and grouped and one or more group-level actions may be initiated for the group, such that the group-level action is performed on each message in the group. Each message in a group shares the at least one attribute value. A messaging user interface may comprise a listing of the set of messages and a message group display portion that displays one or more message groups and a group-level toolbar comprising a selectable indicator for each group-level action. A message, or messages, shown in a message list portion of the user interface may be selected from the message list based on similarity of the message(s) to previously selected messages, and the selected message(s) may be grouping based on shared attribute values. The messages belonging to a group may be modified in the same way via a single action taken on the group.

Abstract: Targeting advertisements to a specific user includes steps or acts of: identifying an area of interest that includes a plurality of users using the Internet; logging each Internet request from the plurality of users; aggregating data regarding each Internet request to reveal use patterns; and disaggregating the data according to the use patterns to match the Internet use pattern with the specific user, thus identifying the specific user with each Internet request.

Abstract: A system and method for increasing displaying time of online advertisements. Upon receiving a search request including one or more search terms, a search engine may identify a list of search results and display the search results on one side of a result page. The search engine may also obtain a list of advertisements and display the list of advertisements on the other side of the result page. When a user scrolls down to look at search results at a lower portion of the result page, the list of advertisements may be moved down, following the movement of the screen, so that at least a part of the list of advertisements may keep being displayed on the current screen. Since the online advertisements are visible to the user for a longer time, there are more opportunities for the online advertisements to get the user's attention, and consequently more opportunities for the user to click on an advertisement. As a result, the efficiency of online advertising may be improved.

Abstract: A system for tagging an object comprises and interface and a processor. The interface is configured to receive an image. The processor is configured to determine a key frame. Determining a key frame comprises determining that the image is stable. The processor is configured to determine a tag for an item in the key frame.

Abstract: Implementations of methods, apparatuses, or systems are disclosed to facilitate search related communications. In at least one implementation, a method may include processing search queries based at least in part on one or more search query parameters to identify candidate search queries for an exchange of related communications, wherein candidate search queries originate from different special purpose computing system resources and/or different users.

Abstract: A method for recommending television content is provided, including the following operations: identifying available television channels for a television device; determining a current date and time; identifying a plurality of content items broadcast on the available television channels at approximately the current date and time; determining a device profile associated with the television device, the device profile being time-dependent; determining recommended content items from the plurality of content items based on the device profile of the television device.

Abstract: Methods, systems, and computer programs are presented for providing a personalized news stream to a user. One method includes an operation for identifying user features associated with a user. The user features include personal features and social features. The personal features are based on activities of the user and the profile of the user. The social features are based on information about social connections of the user. The method further includes operations for extracting content features from a corpus of content items, for identifying intersections between user features and content features, and for assigning weights to the content features from the corpus based on the identified intersections. A score for each content item is determined based on the content features and the respective weights of the content items. The content items are then ranked based on the scores. One or more of the ranked content items are displayed.

Abstract: A system for delivering user specific data comprises a web browser, an application server, and a content server. The browser receives an identification associated with a user profile and transmits a login message to the application server. The application server receives the login message, determines the profile associated with the login message and the feeds or searches associated with the determined profile. Next, the application server queries the content server for data associated with the profile's feeds and searches. The application server determines from the retrieved data the data that has not been previously transmitted to the browser in connection with the profile. The application server then transmits the determined data to the browser and the browser communicates the data to a user associated with the profile.

Abstract: A method is provided for building a user interest profile. According to the method, features of each of a plurality of articles are identified. For a given user, views of one or more of the plurality of articles are logged. For each view, a corresponding dwell time for the view by the given user is measured. A weight is applied to each view based on the corresponding measured dwell time. User interest scores for features of the articles are determined based on the weighted views, and the user interest profile is generated for the given user based on the user interest scores.

Abstract: Accessing one or more sets of sporting event data, each of which being associated with a particular one of one or more sporting events, and each of which comprising one or more sporting event data that indicate at least current event status of the associated sporting event at a current time. For each of the sporting events, calculating a value by applying the set of sporting event data associated with the sporting event to one or more algorithms, each of which having been determined for a particular sport to which the sporting event is categorized, comparing the value to a threshold requirement, and if the value satisfies the threshold requirement, then displaying the sporting event data associated with the sporting event.

Abstract: An improved system and method for a task management library to execute map-reduce applications is provided. A map-reduce application may be operably coupled to a task manager library and a map-reduce library on a client device. The task manager library may include a wrapper application programming interface that provides application programming interfaces invoked by a wrapper to parse data input values of the map-reduce application. The task manager library may also include a configurator that extracts data and parameters of the map-reduce application from a configuration file to configure the map-reduce application for execution, a scheduler that determines an execution plan based on input and output data dependencies of mappers and reducers, a launcher that iteratively launches the mappers and reducers according to the execution plan, and a task executor that requests the map-reduce library to invoke execution of mappers on mapper servers and reducers on reducer servers.

Abstract: Techniques are provided for a peer-to-peer web traffic management. A first mapping between identifiers and peers in a network is established. Upon receiving a first request associated with a first identifier and classifiers, based, at least in part, on the first identifier, a first peer retrieves a first global counter snapshot and a first local increment counter, and uses them to determine whether the first peer can service the first request. If the determination is positive, then the first peer services the first request, and updates the first local increment counter. If the first local increment counter exceeded a threshold value, then the first local increment counter is transmitted to a second peer, and then reset to zero. In response to the first peer receiving a first global counter associated with the first global counter snapshot, the first global counter snapshot is updated with the first global counter.

Abstract: Methods, system and computer readable medium for allowing a user to participate in an online private conversation for a head content includes detecting a selection of the content published on a website hosted by a host. A conversation interface is provided for initiating a private conversation within a context of the content. A comment related to the content is provided and one or more users are selected, using the conversation interface. The selected users are socially related to the user and are selected from one or more social networking sites. A link to the private conversation for the content is generated and the generated link is forwarded to the selected users in a notification inviting the users to participate in the private conversation. The link provides access to the content and the private conversation initiated for the content at the website.

Abstract: Described herein are example systems and operations for enhancing response prediction and bidding decision making. A feature recommendation controller may include a factorization machine that generates a set of combinations of contextual and advertiser features yielding high expected response rates. A bidding controller may implement a multi-arm bandit system that uses Thompson sampling to select an optimal one of the feature combinations that corresponds to a highest expected response rate. The bidding controller may compare the corresponding highest expected response rate with a threshold response rate associated with a pacing rate to determine whether to place a bid for a received ad request.