Getting cold start users connected in a recommender system's trust network

被引：5
|
作者：
Victor, P. [1 ]
De Cock, M. [1 ]
Cornelis, C. [1 ]
Teredesai, A. M. [2 ]
机构：
[1] Univ Ghent, Dept Appl Math & CS, B-9000 Ghent, Belgium
[2] Univ Washington, Inst Technol, Tacoma, WA USA
来源：
COMPUTATIONAL INTELLIGENCE IN DECISION AND CONTROL | 2008年 / 1卷
关键词：
trust network; recommender system; cold start problem;
D O I：
10.1142/9789812799470_0144
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Generating personalized recommendations for new users is particularly challenging, because in this case, the recommender system has little or no user record of previously rated items. Connecting the newcomer to an underlying trust network among the users of the recommender system alleviates this so-called cold start problem. In this paper, we study the effect of guiding the new user through the connection process, and in particular the influence this has on the amount of generated recommendations. Experiments on a dataset from Epinions.com support the claim that it is more beneficial for a newcomer to connect to an identified key figure instead of to a random user.
引用
收藏
页码：877 / 882
页数：6
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