发明名称 SOCIAL-BASED INFORMATION RECOMMENDATION SYSTEM
摘要 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.
申请公布号 US2014173555(A1) 申请公布日期 2014.06.19
申请号 US201213714187 申请日期 2012.12.13
申请人 MICROSOFT CORPORATION 发明人 Ng Karen;Lamkin Lorianne;Toub Stephen H.
分类号 G06F9/44 主分类号 G06F9/44
代理机构 代理人
主权项 1. A method comprising: determining that a developer performs an operation with regard to development of designated code; determining information that is contextually related to the designated code using a machine learning technique in response to determining that the developer performs the operation, the information being associated with a plurality of users in a social networking environment in a social data graph; and recommending at least a portion of the information for use with regard to the designated code based on at least the portion of the information being associated with at least one user of the plurality of users who is included in a social network of the developer in the social data graph.
地址 Redmond WA US