Abstract: Embodiments are directed to identifying entities in content, highlighting the identified entities, and displaying an interactive chat session based on a selected entity. The interactive chat session and the content may be displayed in the same browser window. The interactive chat session may be overlaid on top of the content, inserted inline into the content, or otherwise embedded within the content. The content and the interactive chat session may both remain active in the browser window, enabling a user to conveniently read and chat about the content. The topic of the interactive chat session may be automatically selected from a hierarchical taxonomy of chat session topics, or the user may select the topic from one or more provided taxonomies.

Abstract: Subject matter disclosed herein may relate to dynamically selecting and/or determining terms for use with contextual shortcuts in electronic documents such as, for example, web pages.

Abstract: Subject matter disclosed herein may relate to predicting hot terms, and may also relate to creating contextual shortcuts based, at least in part, on the predicted hot terms.

Abstract: Techniques are provided for ranking the entities that are identified in a document based on an estimated likelihood that a user will actually make use of the annotations. According to one disclosed approach, usage data that indicates how users interact with annotations contained in documents presented to the users is collected. Based on the usage data, weights are generated for features of a feature vector. The weights are then used to modify feature scores of entities, and the modified feature scores are used to determine how to annotate documents. Specifically, a set of entities are identified within a document. A ranking for the identified entities is determined based, at least in part, on (a) feature vector scores for each of the identified entities, and (b) the weights generated for the features of the feature vector. The document is then annotated based, at least in part, on the ranking.

Abstract: Embodiments are directed to identifying entities in content, highlighting the identified entities, and displaying an interactive chat session based on a selected entity. The interactive chat session and the content may be displayed in the same browser window. The interactive chat session may be overlaid on top of the content, inserted inline into the content, or otherwise embedded within the content. The content and the interactive chat session may both remain active in the browser window, enabling a user to conveniently read and chat about the content. The topic of the interactive chat session may be automatically selected from a hierarchical taxonomy of chat session topics, or the user may select the topic from one or more provided taxonomies.

Abstract: Techniques are provided for ranking the entities that are identified in a document based on an estimated likelihood that a user will actually make use of the annotations. According to one disclosed approach, usage data that indicates how users interact with annotations contained in documents presented to the users is collected. Based on the usage data, weights are generated for features of a feature vector. The weights are then used to modify feature scores of entities, and the modified feature scores are used to determine how to annotate documents. Specifically, a set of entities are identified within a document. A ranking for the identified entities is determined based, at least in part, on (a) feature vector scores for each of the identified entities, and (b) the weights generated for the features of the feature vector. The document is then annotated based, at least in part, on the ranking.

Abstract: Subject matter disclosed herein may relate to dynamically selecting and/or determining terms for use with contextual shortcuts in electronic documents such as, for example, web pages.

Abstract: Subject matter disclosed herein may relate to predicting hot terms, and may also relate to creating contextual shortcuts based, at least in part, on the predicted hot terms.