Abstract:
Particular embodiments of the present invention are related to customizing content based on a social context associated with the viewer of the content. The social context may include information regarding the viewer's friends or contacts in a social network, and information regarding the interaction of such friends or contacts with the customizable content.
Abstract:
Method, system, and programs for providing identifiers to objects. Input data representing a plurality of objects is received and categorized into a plurality of entity categories. A first graph of entities is generated using the plurality of entity categories. The first graph of entities are matched with a second graph of entities. A comparison of object pairs is then made, in which each object pair includes a first object from the first graph of entities and a corresponding second object from the second graph of entities. Identifiers are assigned to each object based on comparing the object pairs.
Abstract:
Methods, systems, and programming for providing web page snapshots are disclosed. A URL is received. A snapshot of the web page associated with the URL is generated. A plurality of features is extracted from the snapshot. A determination is made regarding whether the snapshot is high quality based on the plurality of extracted features of the snapshot. The generated snapshot is provided as a viewable and actionable link to the URL.
Abstract:
Disclosed are methods and apparatus for generating and awarding user-generated badges. In one embodiment, a user-generated badge may be generated in response to input received via a graphical user interface. The user-generated badge may be represented by a media token and have associated therewith a set of rules defining one or more activities to be completed. Activity data may be monitored via one or more data sources based upon the set of rules. An instance of the user-generated badge may be automatically awarded to individuals satisfying the set of rules.
Abstract:
Disclosed herein is a matching of multiple different social graphs to generate a combined social graph. Such a combined social graph may be searched and used in determining information to provide to a user, for example. An iterative metric learning approach may be used in matching multiple different social graphs. A mechanism is provided to validate a match from different social graphs. Match validation of data field matching is provided.
Abstract:
Users consume a wide variety of content from various sources, such as videos accessible through websites. As provided herein, content recommendations that are contextually and/or semantically relevant to current content consumed by a user may be identified and provided to the user. For example, metadata for a video being watched by the user may be identified (e.g., terms extracted from a description, user reviews, a category, and/or other information). The metadata may be used to identify content recommendations based upon the metadata corresponding to terms grouped into a set of refined topic groupings of a graph comprising terms and relationships between terms extracted from a content corpus. The metadata may be matched to relevant terms within the set of refined topic groupings, and content recommendations comprising content corresponding to the relevant terms may be suggested to the user.
Abstract:
A tokenization platform and method is described for accurately tokenizing character strings, including but not limited to non-delimited character strings of the type commonly used in Internet domain names and computer filenames, to accurately identify words and phrases occurring therein. In one embodiment, a phased tokenization approach is used in which the final phase is a lexical analysis-based tokenization using a dictionary. The dictionary may be advantageously created and updated based upon one or more query logs associated with respective information retrieval systems, thereby ensuring that the dictionary accurately reflects currently-used terminology and captures alternative spellings and presentations of words and phrases submitted by users.
Abstract:
Disclosed is a system and method for selectively delivering shared information. The disclosed systems and methods enable a sending user to decide what context of information is to be shared, in that a sending user can determine when and where information is shared. This enables increased social engagement towards relevant information. Additionally, this enables a vast opportunity for commercial opportunities, whereby advertisements can be served contingent upon a consumer's context, and/or only when the product or service offered to the consumer is relevant.
Abstract:
A modular search object framework provides modular search results including entity search results reflecting the intent of a searcher. Also, an interface (such as a graphical user interface provided by the framework), aids in organizing results (such as links, titles, and description) according to the intent of the user as manifest in the search query and interactions with the interface. Circuitry of the framework also predicts user intent from historical information corresponding to the searcher (or to a group with which the searcher is associated).
Abstract:
Embodiments of the invention are directed to identifying network resources or other topics that are of interest to members of multiple online communities to which a user belongs. Online communities include blogs, websites, games, e-commerce systems, messaging systems, wikis, etc. For each online community, click activity or other client behaviors are tracked and analyzed to determine statistical metrics about community activity, such as which articles, links, services, or other network resources are popular in the online community. At least some of the tracking or analysis can be performed by clients that access the online communities, by a server of each online community, and/or by a central tracking system. The results for each community may be further analyzed relative to each other. The results are provided for all communities with which a given user is associated. For example, a list of the most popular links in the user's selected online communities.