发明申请
- 专利标题: Predicting Interestingness of Questions in Community Question Answering
- 专利标题(中): 预测社区问题回答的有趣性
-
申请号: US12569553申请日: 2009-09-29
-
公开(公告)号: US20100235343A1公开(公告)日: 2010-09-16
- 发明人: Yunbo Cao , Chin-Yew Lin , Young-In Song
- 申请人: Yunbo Cao , Chin-Yew Lin , Young-In Song
- 申请人地址: US WA Redmond
- 专利权人: Microsoft Corporation
- 当前专利权人: Microsoft Corporation
- 当前专利权人地址: US WA Redmond
- 主分类号: G06F17/30
- IPC分类号: G06F17/30
摘要:
Exemplary methods, computer-readable media, and systems are presented for learning to recommend questions and other user-generated submissions to community sites based on user ratings. The size of available training data is enlarged by taking into consideration questions without user ratings, which in turn benefits the learned model. Question or other user-generated submissions are obtained by crawling Internet-accessible Web sites including community sites. Questions and other submissions, even when not tagged, voted or indicated as “popular” or “interesting” by users are quantitatively indentified as “interesting.”