A shopping negotiation agent that adapts to user preferences

Runhe Huang, Jianhua Ma, Qun Jin

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper describes a shopping negotiation agent that can adapt user preferences and automatically negotiate with its counter party on behalf of a user it represents. The agent is built on a basis of the proposed negotiation model, the enhanced extended Bazaar model, which is a sequence of decision making model of negotiation with exploiting common knowledge, public information, and game theory. Since different users can have different preferences, it is important for the agent to have adaptation to different user preferences. This can be achieved by acquiring user preferences, tracing user’s behavior on Web and mapping the behavior to a set of the preference parameters, creating the negotiation model class, and generating an instance negotiation model object with new/updated preference parameters.

本文言語English
ホスト出版物のタイトルActive Media Technology - 6th International Computer Science Conference, AMT 2001, Proceedings
編集者Jiming Liu, Pong C. Yuen, Chun-hung Li, Joseph Ng, Toru Ishida
出版社Springer Verlag
ページ45-56
ページ数12
ISBN(電子版)9783540430353
DOI
出版ステータスPublished - 2001
外部発表はい
イベント6th International Computer Science Conference on Active Media Technology, AMT 2001 - Hong Kong, China
継続期間: 2001 12月 182001 12月 20

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2252
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other6th International Computer Science Conference on Active Media Technology, AMT 2001
国/地域China
CityHong Kong
Period01/12/1801/12/20

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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