Microsoft Technology Licensing, LLC

Zengzhong Li

Vinod Shanbhag

Satish Kumar Musukula

Vikas Sabharwal

Bi Xue

Vivek Bhaskaran Iyer

Qi Chen

Jingdong Wang

Jeffrey Song Zhu

Mingqin Li

Nilesh N Yadav

Shi Zhang

Han Zhang

System and methods are directed to operations associated with an approximate nearest neighbor search engine. More specifically, a vector semantically representing content to be added to a search index may be received. The search index may include a neighborhood graph having a plurality of nodes, where each node of the plurality of nodes is associated with content in a content repository. A plurality of nodes within the search index determined to be most semantically similar to the received vector semantically representing content to be added to the search index may be identified. The node corresponding to the received vector semantically representing content to be added to the search index to the search index may be added to the search index and a listing of nearest neighbors associated with each of the of the plurality of nodes may be updated to include an identifier associated with the added node.

Approximate nearest neighbor search engine

Systems, apparatuses, services, platforms, and methods are discussed herein that provide user search services to a communication platform. An example user search service receives a query indicted by a user to find users of a communication platform associated with one or more search terms. The example user search service also presents to the user a search result view comprising resultant users on the communication platform, where the search result view includes one or more graphical annotations in association with ones of the resultant users that indicate a quantity of common users on the communication platform between the user and the ones of the resultant users.

Search prioritization interfaces for communication platform users

Systems, apparatuses, services, platforms, and methods are discussed herein that provide user search services to a communication platform. An example user search service receives a user query to find users of the communication platform associated with one or more search terms, performs a graph search process based at least on the one or more search terms to identify a first set of users related to the user through at least one common user, and performs an indexed search process to identify a second set of users associated with the one or more search terms. The user search service then presents to the user a result view comprising the first set of users prioritized over the second set of users.

Search prioritization among users in communication platforms

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Bellevue, WA, United States of America

Zengzhong Li