A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Trust in recommender systems
2005
Proceedings of the 10th international conference on Intelligent user interfaces - IUI '05
Recommender systems have proven to be an important response to the information overload problem, by providing users with more proactive and personalized information services. And collaborative filtering techniques have proven to be an vital component of many such recommender systems as they facilitate the generation of high-quality recommendations by leveraging the preferences of communities of similar users. In this paper we suggest that the traditional emphasis on user similarity may be
doi:10.1145/1040830.1040870
dblp:conf/iui/ODonovanS05
fatcat:etxkucqx5zdytpfb2ok5v6gmgy