Collaborative web agent based on friend network

被引：6

作者：

Kim, Byeong Man ^{[1
]}

Li, Qinq ^{[2
]}

Howe, Adele E. ^{[3
]}

Chen, Yuanzhu Peter ^{[4
]}

机构：

[1] Kumoh Natl Inst Technol, Dept Comp Sci, Gyeongbuk 730701, South Korea

[2] Arizona State Univ, China & Sch Informat & Comp, Tempe, AZ USA

[3] Colorado State Univ, Dept Comp Sci, Ft Collins, CO 80523 USA

[4] Mem Univ Newfoundland, Dept Comp Sci, St John, NF A1C 5S7, Canada

来源：

APPLIED ARTIFICIAL INTELLIGENCE | 2008年 / 22卷 / 04期

关键词：

D O I：

10.1080/08839510801972835

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Most existing web search looks do not utilize previous search experiences of others to improve performance for the current use): In. this article, we present a collaborative web agent designed to enable across-user collaboration in web search and recommendation. We use our distributed collaborative fillering (CF) algorithm based on a P2P overlay network, of autonomous agents. Experiments show that OUT proposed scheme is more scalable than traditional centralized CF filtering systems and alleviates the sparsity problem in distributed CF.

引用

页码：331 / 351

页数：21

共 29 条

[1]

ALI K, 2004, P INT C KNOWL DISC D

[2] Fab: Content-based, collaborative recommendation [J].

Balabanovic, M ;

Shoham, Y .

COMMUNICATIONS OF THE ACM, 1997, 40 (03) :66-72

[3]

BREESE JS, 1998, P UAI 98 MAD WI

[4]

CHAWATHE Y, 2003, P ACM SPEC INT GROUP

[5]

Ferber J, 1999, Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence, V1st

[6]

GKANTSIDIS C, 2004, P IEEE INF HONG KONG

[7] A scalable P2P recommender system based on distributed collaborative filtering [J].

Han, P ;

Xie, B ;

Yang, F ;

Shen, RM .

EXPERT SYSTEMS WITH APPLICATIONS, 2004, 27 (02) :203-210

[8]

HAN P, 2004, P PAC AS C KNOWL DIS

[9]

HEFLIN J, 2001, THESIS U MARYLAND CO

[10] Latent semantic models for collaborative filtering [J].

Hofmann, T .

ACM TRANSACTIONS ON INFORMATION SYSTEMS, 2004, 22 (01) :89-115

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