Facebook, Inc.

Wal-mart Stores, Inc.

Sumit Taank

Abhishek Gattani

Deepayan Chakrabarti

Amaç Herdagdelen

Aditya Pal

Sourav Chatterji

Tri Cao

Systems, methods, and non-transitory computer-readable media can determine one or more respective topics of interest for at least some users of a social networking system. At least some of the topics can be propagated to at least a first user, wherein the propagated topics were determined to be of interest to users that follow the first user in the social networking system. At least one topic from the propagated topics for which the first user is a topical authority is determined.

Systems and methods for recommendation of topical authorities

The present disclosure is directed to positioning a new item in search results that may additionally include previously-released items. Items in a search result may be ranked by popularity scores. In embodiments of the present disclosure, a new item may receive a popularity score boost to compensate for that item's relative lack of history in comparison to the previously-released items. Embodiments of the present disclosure utilize outside data sources to rank the items. Outside data sources may include social media, knowledge bases, and like platforms to leverage available outside data to complement internal data.

Re-ranking results in a search

Growing community of inventors

San Jose, CA, United States of America

Sumit Taank