Linkedin Corporation

Ron Bekkerman

Benjamin T Arai

Simla Ceyhan

Manu Sharma

Balachander Ganapathy Subramaniam

A method of classifying data is disclosed. Text data items are received. A set of classes into which the text data items are to be classified is received. A phrase-based classifier to classify the text data items into the set of classes is selected. The phrase-based classifier is applied to classify the text data items into the classes. Here, the applying includes creating a controlled vocabulary pertaining to classifying the text data items into the set of classes, building phrases based on the text data items and the controlled vocabulary, and classifying the text data items into the set of classes based on the phrases.

Phrase-based data classification system

A technique for determining the impact of multiple users' actions is described. According to this technique, information specifying multiple users' actions is aggregated. This information includes linkages that indicate the initiators of the multiple users' actions. Then, the impacts of the multiple users' actions are determined based on the aggregated information. In particular, the impact of a given user's action includes a direct component performed by the given user and an indirect component performed by other users in a social graph in response to the given user's action, where the social graph includes relationships between the other users and the given user. For example, the multiple users' actions and the social graph may be associated with a website, and the determined impacts may allow traffic and/or revenue of the website to be increased.

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Mountain View, CA, United States of America

Ron Bekkerman