发明授权
US07529741B2 Methods and systems for segmenting relative user preferences into fine-grain and coarse-grain collections
有权
用于将相对用户偏好分段为细粒度和粗粒度集合的方法和系统
- 专利标题: Methods and systems for segmenting relative user preferences into fine-grain and coarse-grain collections
- 专利标题(中): 用于将相对用户偏好分段为细粒度和粗粒度集合的方法和系统
-
申请号: US11682596申请日: 2007-03-06
-
公开(公告)号: US07529741B2公开(公告)日: 2009-05-05
- 发明人: Murali Aravamudan , Ajit Rajasekharan , Kajamalai G. Ramakrishnan , Mayank Gupta
- 申请人: Murali Aravamudan , Ajit Rajasekharan , Kajamalai G. Ramakrishnan , Mayank Gupta
- 申请人地址: US MA Andover
- 专利权人: Veveo, Inc.
- 当前专利权人: Veveo, Inc.
- 当前专利权人地址: US MA Andover
- 代理机构: Wilmer Cutler Pickering Hale & Dorr LLP
- 主分类号: G06F17/30
- IPC分类号: G06F17/30
摘要:
A method of segmenting relative user preferences into fine-grain and coarse-grain collections is provided. The method includes providing a set of content items having associated descriptive terms. The method also includes receiving user search input and, in response thereto, presenting a subset of content items. The method includes receiving user selection actions and analyzing the selections to learn the user's preferred descriptive terms. The method includes expressing the learned preferred descriptive terms as a segmented probability distribution function having at least one fine grain segment and at least one coarse grain segment. In response to subsequent search input, the method calls for selecting and ordering a collection of content items by promoting the ranking of content items associated with the learned preferred descriptive terms of the user according to the differentiation provided by the segmented probability distribution function.
公开/授权文献
信息查询