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:
Aug. 18, 2020

Filed:

Jul. 31, 2018
Applicant:

Box, Inc., Redwood City, CA (US);

Inventors:

Sesh Jalagam, Union City, CA (US);

Matthew DeLand, San Francisco, CA (US);

Victor De Vansa Vikramaratne, Mountain View, CA (US);

Assignee:

Box, Inc., Redwood City, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 16/28 (2019.01); H04L 29/06 (2006.01); H04L 29/08 (2006.01); G06F 16/27 (2019.01); G06Q 10/10 (2012.01);
U.S. Cl.
CPC ...
G06F 16/288 (2019.01); G06F 16/27 (2019.01); G06F 16/285 (2019.01); G06Q 10/101 (2013.01); H04L 65/403 (2013.01); H04L 65/4084 (2013.01); H04L 65/605 (2013.01); H04L 67/10 (2013.01); H04L 67/1097 (2013.01); H04L 67/22 (2013.01);
Abstract

Systems for forming and maintaining spontaneous networks of collaborators in shared content management systems. A shared content management system supports user interactions with content objects. A service of the content management system monitors occurrences of interactions between users and objects. The users are associated with collaboration groups. To generate recommendations of groups other than the collaboration group or groups in which a particular user is already a member, a method embodiment receives entity relationship scores from the service. An entity relationship score quantifies a relationship between two subject entities that are common to a particular entity interaction event. The method then assigns the subject entities to one or more spontaneously-generated clusters. As clusters are formed and populated, cluster affinity scores are continuously calculated. Periodically, a recommended cluster is selected based on a corresponding cluster affinity score. A recommended cluster is named based on the member entities of the recommended cluster.


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