The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 06, 2022

Filed:

Jul. 28, 2017
Applicant:

Microsoft Technology Licensing, Llc, Redmond, WA (US);

Inventors:

Sammy Shreibati, Los Altos, CA (US);

Vivian Mak Urata, San Francisco, CA (US);

Mark Hull, San Jose, CA (US);

Haiyang Liu, Redwood City, CA (US);

Birjodh Tiwana, Lafayette, CA (US);

Siva Visakan Sooriyan, San Francisco, CA (US);

Jesse Jyh-Cherng Hsia, Santa Clara, CA (US);

Michael Joshua Aft, Redwood City, CA (US);

Kinjal Basu, Stanford, CA (US);

Shaunak Chatterjee, Sunnyvale, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/10 (2012.01); G06Q 50/00 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/1053 (2013.01); G06Q 50/01 (2013.01);
Abstract

Described herein is a contextual contact recommendation or suggestion service and system. The service, which, in some embodiments, is integrated with a social networking service and/or an instant messaging service, takes as input a first parameter that identifies a member of the social networking service, and a second parameter that defines a context (e.g., a web page that is being viewed by the member. The service, based in part on the context, computes a ranked list of members to populate a contextual contact list, thereby recommending or suggesting contacts, with whom the member might be interested in initiating, or continuing, a conversation, based on the context of the member's current web browsing session. Optionally, the service may take as input a third parameter, defining a use case, such that the recommendation algorithm can be customized by use case.


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