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
.
Is trust robust?
2006
Proceedings of the 11th international conference on Intelligent user interfaces - IUI '06
Systems that adapt to input from users are susceptible to attacks from those users. Recommender systems are common targets for such attacks since there are financial, political and many other motivations for the false promotion or demotion of recommendable items [2] . Recent research has shown that incorporating trust and reputation models into the recommendation process can have a positive impact on the accuracy of recommendations. In this paper we examine the effect of using five different
doi:10.1145/1111449.1111476
dblp:conf/iui/ODonovanS06
fatcat:xe5y6bcg4bgspdjnvdt6gbh2oy