Agent technology recommending personalized information and its evaluation

被引：0

作者：

Shibata, H ^{[1
]}

Hoshiai, T ^{[1
]}

Kubota, M ^{[1
]}

Teramoto, M ^{[1
]}

机构：

[1] NTT Corp, Network Innovat Labs, Musashino, Tokyo 1808585, Japan

来源：

IWADS: 2ND INTERNATIONAL WORKSHOP ON AUTONOMOUS DECENTRALIZED SYSTEM, PROCEEDINGS | 2002年

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

These days, personalized contents recommending services are attracting world wide attention due to the development of broadcasting technology based on WWW and P2P technology. In this paper we propose a method of implementing our active autonomous agents that discover and recommend contents matched with the user preference without the user guidance. The agents can learn the user-preference by observing the user reaction to contents recommended by the agents. We evaluate the convergence and adaptability of our agents' learning algorithm by simulation with our programmable movie service (PM service), which composes and provides appropriate contents for users.

引用

页码：176 / 183

页数：8

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