Invention Grant
- Patent Title: Learning ranking functions incorporating boosted ranking in a regression framework for information retrieval and ranking
- Patent Title (中): 学习排名功能在信息检索和排名的回归框架中加入了排名
-
Application No.: US12060179Application Date: 2008-03-31
-
Publication No.: US08051072B2Publication Date: 2011-11-01
- Inventor: Zhaohui Zheng , Hongyuan Zha , Gordon Sun
- Applicant: Zhaohui Zheng , Hongyuan Zha , Gordon Sun
- Applicant Address: US CA Sunnyvale
- Assignee: Yahoo! Inc.
- Current Assignee: Yahoo! Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Ostrow Kaufman LLP
- Agent Seth H. Ostrow
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
Embodiments of the present invention provide for methods, systems and computer program products for learning ranking functions to determine the ranking of one or more content items that are responsive to a query. The present invention includes generating one or more training sets comprising one or more content item-query pairs, determining preference data for the one or more query-content item pairs of the one or more training sets and determining labeled data for the one or more query-content item pairs of the one or more training sets. A ranking function is determined based upon the preference data and the labeled data for the one or more content-item query pairs of the one or more training sets. The ranking function is then stored for application to query-content item pairs not contained in the one or more training sets.
Public/Granted literature
Information query