Invention Grant
US07805438B2 Learning a document ranking function using fidelity-based error measurements
有权
使用基于保真度的误差测量学习文档排序功能
- Patent Title: Learning a document ranking function using fidelity-based error measurements
- Patent Title (中): 使用基于保真度的误差测量学习文档排序功能
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Application No.: US11461404Application Date: 2006-07-31
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Publication No.: US07805438B2Publication Date: 2010-09-28
- Inventor: Tie-Yan Liu , Ming-Feng Tsai , Wei-Ying Ma
- Applicant: Tie-Yan Liu , Ming-Feng Tsai , Wei-Ying Ma
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Perkins Coie LLP
- Main IPC: G06F7/00
- IPC: G06F7/00 ; G06F17/30 ; G06F15/18 ; G06F3/00 ; G01N33/48 ; G01N33/50 ; G05B15/00 ; G05B19/42 ; G06E1/00 ; G06E3/00 ; G06G7/00

Abstract:
A method and system for generating a ranking function using a fidelity-based loss between a target probability and a model probability for a pair of documents is provided. A fidelity ranking system generates a fidelity ranking function that ranks the relevance of documents to queries. The fidelity ranking system operates to minimize a fidelity loss between pairs of documents of training data. The fidelity loss may be derived from “fidelity” as used in the field of quantum physics. The fidelity ranking system may use a learning technique in conjunction with a fidelity loss when generating the ranking function. After the fidelity ranking system generates the fidelity ranking function, it uses the fidelity ranking function to rank the relevance of documents to queries.
Public/Granted literature
- US20080027912A1 LEARNING A DOCUMENT RANKING FUNCTION USING FIDELITY-BASED ERROR MEASUREMENTS Public/Granted day:2008-01-31
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