Collaborative reputation mechanisms for electronic marketplaces

被引：181

作者：

Zacharia, G ^{[1
]}

Moukas, A ^{[1
]}

Maes, P ^{[1
]}

机构：

[1] MIT, Media Lab, Cambridge, MA 02139 USA

来源：

DECISION SUPPORT SYSTEMS | 2000年 / 29卷 / 04期

关键词：

reputation mechanisms; collaborative filtering; rating systems; electronic marketplaces;

D O I：

10.1016/S0167-9236(00)00084-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Members of electronic communities are often unrelated to each other, they may have never met and have no information on each other's reputation. This kind of information is vital in Electronic Commerce interactions, where the potential counterpart's reputation can be a significant factor in the negotiation strategy. Collaborative reputation mechanisms can provide personalized evaluations of the various ratings assigned to each user to predict their reliabilities. While these reputation mechanisms are developed in the context of electronic commerce, they are applicable in other types of electronic communities such as chatrooms, newsgroups, mailing lists, etc. (C) 2000 Published by Elsevier Science B.V.

引用

页码：371 / 388

页数：18