Invention Grant
US08112454B2 Methods and systems for ordering content items according to learned user preferences
有权
根据学习的用户偏好对内容项进行排序的方法和系统
- Patent Title: Methods and systems for ordering content items according to learned user preferences
- Patent Title (中): 根据学习的用户偏好对内容项进行排序的方法和系统
-
Application No.: US12435899Application Date: 2009-05-05
-
Publication No.: US08112454B2Publication Date: 2012-02-07
- Inventor: Murali Aravamudan , Ajit Rajasekharan , Kajamalai G. Ramakrishnan , Mayank Gupta
- Applicant: Murali Aravamudan , Ajit Rajasekharan , Kajamalai G. Ramakrishnan , Mayank Gupta
- Applicant Address: US MA Andover
- Assignee: Veveo, Inc.
- Current Assignee: Veveo, Inc.
- Current Assignee Address: US MA Andover
- Agency: Wilmer Cutler Pickering Hale & Dorr LLP.
- Main IPC: G06F17/30
- IPC: G06F17/30

Abstract:
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.
Public/Granted literature
- US20090217203A1 METHODS AND SYSTEMS FOR SEGMETING RELATIVE USER PREFERENCES INTO FINE-GRAIN AND COURSE-GRAIN COLLECTIONS Public/Granted day:2009-08-27
Information query