[1]KE Jia,CHENG Xian-yi,LI Xiao-wei.Research of Agent collaborative filtering model based on user′s feedback[J].CAAI Transactions on Intelligent Systems,2007,2(1):59-63.
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Research of Agent collaborative filtering model based on user′s feedback

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 2 Number of periods: 2007 1 Page number: 59-63 Column: 学术论文—智能系统 Public date: 2007-02-25
Title:
Research of Agent collaborative filtering model based on user′s feedback
Author(s):
KE Jia1; 2;  CHENG Xian-yi2;  LI Xiao-wei2
1.School of Business Administration, Jiangsu University, Zhenjiang 212013, China;
 2. Computer Science & Communication Engineering Institute,Jiangsu Universi ty,Zhenjiang 212013, China
Keywords:
collaborative filtering;  Agent;  users’ interesting f eedback;  Q learnin g algorithm.
CLC:
TP311
DOI:
-
Abstract:
In order to serve users with more accurate information, the Agent coll aborative filtering model—ACFM based on users’ feedback and the dynamic Q lear ning algorithm are put forward, and users’ interesting model is built. ACFM use s the method of users’ interesting feedback consisted of implicit feedback and interactive feedback to realize collaborative filtering. Experimental results sh ow that compared with traditional search engine, ACFM is more effective in predi cting users’ interests, and has more recalls and precision degree in recommendi ng information when inputting the same inquire words. 
References:
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