Linkedin Corporation

Microsoft Technology Licensing, LLC

Ramesh Dommeti

Abhishek Gupta

Anmol Bhasin

Christian Posse

Jiong Wang

Alexis Pribula

Shakti Dhirendraji Sinha

Lin Guo

Ashley Woodman Hall

Ganesh Venkataraman

Viet Thuc Ha

Abhimanyu Lad

Bradley Scott Mauney

Asif Mansoor Ali Makhani

Senthil Sundaram

Scott Blackburn

A statistically overrepresented token in the descriptions of users associated with a target entity may be descriptive of the target entity. This may be true regardless of whether a primary description of the entity includes the overrepresented token. Accordingly, the entity description machine may access multiple descriptions of multiple users associated with the target entity. A portion of the multiple descriptions may each include a token descriptive of the target entity and of a subset of the multiple users. The entity description machine may determine that the token is overrepresented among the tokens within the multiple descriptions and generate a supplemental description of the target entity, where the supplemental description includes the overrepresented token. Once the supplemental description is generated, the entity description machine may use the supplemental description in referencing the target entity.

Generating a supplemental description of an entity

A system and method for personalized search based on searcher interest may include obtaining a search term from a member of a social network at a user device via the network interface. An initial result may be generated based on the search term, including a first group of content items from a social network and stored in a content database, the content items including member profiles of members of the social network. Each of the content items of the first group may be ranked based on information from an activity database, the activity database storing the information related to the social network, the activities including interactions with search results that include ones of the member profiles. A second group of the content items may be displayed, including at least some of the first group of the content items, based on the rank of the first group of the content items.

Personalized search based on searcher interest

Systems and methods for searching for information within social networks are described. In some examples embodiments, a search assist system receives a query, such as a partial query, identifies two or more categories of data that include information satisfying the query, ranks the identified categories of data based on various selection criteria, and presents suggested search terms based on the rankings.

Searching for information within social networks

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San Jose, CA, United States of America

Ramesh Dommeti