Invention Grant
- Patent Title: Social-based information recommendation system
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Application No.: US14809783Application Date: 2015-07-27
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Publication No.: US10261759B2Publication Date: 2019-04-16
- Inventor: Karen Ng , Lorianne Lamkin , Stephen H. Toub
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Wade IP Law LLC
- Main IPC: G06F8/30
- IPC: G06F8/30 ; G06F8/34 ; G06F11/36 ; G06F17/30 ; H04L29/06 ; G06F3/0484 ; G06F3/0485

Abstract:
Techniques are described herein that are capable of recommending information that is contextually related to code using a social data graph. A machine learning technique is used to determine that the information is contextually related to the code. A social data graph is a graph database that stores information associated with users in a social networking environment. For instance, such information may be retrieved from user profiles, social updates, etc. of the users. A social networking environment is an online service, platform, or domain (e.g., Web site) that facilitates the building of social networks (e.g., social relations) among people who share interests, activities, backgrounds, real-life connections, etc.
Public/Granted literature
- US20150331674A1 SOCIAL-BASED INFORMATION RECOMMENDATION SYSTEM Public/Granted day:2015-11-19
Information query