Abstract: Briefly, one or more embodiments of methods, apparatuses or systems for media or content tagging are described.

Abstract: Example methods, apparatuses, or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate or otherwise support one or more processes or operations for a Jabba-type contextual tagger.

Abstract: A method includes accessing a number of cards from a database. The cards are ranked in the database based on a test conducted on a number of users. The cards are associated with one or more rule states. The one or more rule states provide binary outcomes of one or more rules. Each rule is identified using a code. The test is conducted by presenting different random sequences of the cards to different users and receiving inputs from the number of users. The method further includes receiving a request for a presentation area from a client device operated by a user. The presentation area is used for displaying the number of cards in an order, which is determined based on the test. The method includes providing the number of cards for display in the order within the presentation area on the client device of the user in response to the request.

Abstract: Invoked states of one or more activities invoked in a web application is detected. The web application is configured to display, in a foreground, a current activity on a client device. On the client device, display of a multitask preview interface that includes one or more live previews is caused. Each live preview of the one or more live previews corresponds to an invoked state of an activity of the one or more activities. The one or more live previews includes a particular live preview that corresponds to a particular invoked state of a particular activity of the one or more activities. Selection of the particular live preview is detected. In response to detecting selection of the particular live preview, the current activity displayed in the foreground of the web application is switched to the particular state of the particular activity.

Abstract: The present disclosure relates to computer systems implementing methods for online content recommendation.

Abstract: Briefly, embodiments of methods or systems for client side browser notification are disclosed.

Abstract: Online experimentation has been widely used to evaluate an effect of a new feature of an online product on user engagement. One challenge is that an existence of outliers can often complicate the analysis of such experimental results. Thus, a procedure is provided herein to detect and remove outliers from experimental results. The procedure can use statistical tests based on parametric distributions of sample maximum or minimum. These tests can be performed using an inward testing procedure to identify multiple outliers. Finally, these filtered test results can be used to control delivery of a new feature of an online product.

Abstract: Embodiments are directed towards generating a unified user account trustworthiness system through user account trustworthiness scores. A trusted group of user accounts may be identified for a given action by grouping a plurality of user accounts into tiers based on a trustworthiness score of each user account for the given action. The tiers and/or trustworthiness scores may be employed to classify an item, such as a message as spam or non-spam, based on input from the user accounts. The trustworthiness scores may also be employed to determine if a user account is a robot account or a human account. The trusted group for a given action may dynamically evolve over time by regrouping the user accounts based on modified trustworthiness scores. A trustworthiness score of an individual user account may be modified based on input received from the individual user account and input from other user accounts.

Abstract: Disclosed herein are a system, method and architecture for media content enrichment. A visual object detector is trained using a training data set and an existing visual object detector. The newly-adapted visual object detector may be used to detect a visual object belonging to a class of visual object. The existing object detector that is used to train the adapted object detector detects a class of visual objects different from the visual object class detected by the adapted object detector. A media content item depicting a visual object detected using the adapted object detector may be associated with metadata, tag or other information about the detected visual object to enrich the media content item.

Abstract: Information is presented to a user of a user device by a method including: collecting data relating to communications sent to or from the user, including to or from a first person, each communication including a link of a plurality of links; generating personal profiles from the collected data, the profiles comprising a first personal profile of the first person and including a first link of the plurality of links; and presenting the first personal profile to the user, comprising displaying the first link in a user interface on the user device.

Abstract: Exemplary methods and apparatuses are provided which may be used for classifying and indexing segmented portions of web pages and providing related information for use in information extraction and/or information retrieval systems. In an embodiment, an index of segmented portions may be used by a search engine to respond to a search query. In an embodiment, one or more machine learned models may be used to identify one or more feature properties of a plurality of segmented portions within one or more files, or otherwise inferable from the one or more files. In an embodiment, one or more machine learned models may be used to classify one or more of a plurality of segmented portions as being at least one of a plurality of segment types.

Abstract: In one example, an apparatus and method are provided for summarizing (or selecting a representative subset from) a collection of media objects. A method includes selecting a subset of media objects from a collection of geographically-referenced (e.g., via GPS coordinates) media objects based on a pattern of the media objects within a spatial region. The media objects may further be selected based on (or be biased by) various social aspects, temporal aspects, spatial aspects, or combinations thereof relating to the media objects and/or a user. Another method includes clustering a collection of media objects in a cluster structure having a plurality of subclusters, ranking the media objects of the plurality of subclusters, and selection logic for selecting a subset of the media objects based on the ranking of the media objects.

Abstract: Subject matter disclosed herein relates to electronic image object or logo recognition.

Abstract: The present teaching relates to determining user interests based on a correspondence graph. In one example, correspondences among a plurality of users are obtained. Connections among at least some of the plurality of users are identified based on the correspondences. A graph is constructed based on the identified connections. Each of the identified connections has a strength determined based on correspondences associated with the identified connection. One or more seed users are selected from the plurality of users. Each of the one or more seed users has at least one known interest. An interest is determined for each of the at least some of the plurality of users based on the graph and the known interests of the one or more seed users.

Abstract: An Internet or other online service is personalized or customized based on data collected for a user of a computing device. In one embodiment, a method includes: storing a plurality of person profiles for persons associated with communications received by a user of a computing device; receiving data associated with an online service; and filtering, using at least one processor, the data based on the plurality of person profiles, wherein the filtered data is for display to the user on the computing device.

Abstract: Techniques are described for generating an authority value of a first one of a plurality of documents. A first component of the authority value is generated with reference to outbound links associated with the first document. The outbound links enable access to a first subset of the plurality of documents. A second component of the authority value is generated with reference to a second subset of the plurality of documents. Each of the second subset of documents represents a potential starting point for a user session. A third component of the authority value is generated representing a likelihood that a user session initiated by any of a population of users will end with the first document. The first, second, and third components of the authority value are combined to generate the authority value. At least one of the first, second, and third components of the authority value is computed with reference to user data relating to at least some of the outbound links and the second subset of documents.