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» Letting Users Choose Recommender Algorithms: An Experimental...
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WWW
2008
ACM
14 years 5 months ago
A Study of User Profile Generation from Folksonomies
Recommendation systems which aim at providing relevant information to users are becoming more and more important and desirable due to the enormous amount of information available ...
Ching-man Au Yeung, Nicholas Gibbins, Nigel Shadbo...
PVLDB
2011
12 years 11 months ago
Personalized Social Recommendations - Accurate or Private?
With the recent surge of social networks such as Facebook, new forms of recommendations have become possible – recommendations that rely on one’s social connections in order t...
Ashwin Machanavajjhala, Aleksandra Korolova, Atish...
WWW
2009
ACM
14 years 5 months ago
Deriving music theme annotations from user tags
Music theme annotations would be really beneficial for supporting retrieval, but are often neglected by users while annotating. Thus, in order to support users in tagging and to f...
Kerstin Bischoff, Claudiu S. Firan, Raluca Paiu
HT
2010
ACM
13 years 6 months ago
Capturing implicit user influence in online social sharing
Online social sharing sites are becoming very popular nowadays among Web users, who use these sites to share their favourite items and to discover interesting and useful items fro...
Ching-man Au Yeung, Tomoharu Iwata
SIGIR
2004
ACM
13 years 10 months ago
A study of methods for normalizing user ratings in collaborative filtering
The goal of collaborative filtering is to make recommendations for a test user by utilizing the rating information of users who share interests similar to the test user. Because r...
Rong Jin, Luo Si