57 search results - page 5 / 12 » Improved Recommendations via (More) Collaboration |
ECWEB
2011
Springer
12 years 6 months ago
2011
Springer
The accuracy of collaborative filtering recommender systems largely depends on two factors: the quality of the recommendation algorithm and the nature of the available item rating...
ESWA
2008
13 years 6 months ago
2008
Recommender systems base their operation on past user ratings over a collection of items, for instance, books, CDs, etc. Collaborative filtering (CF) is a successful recommendatio...
SIGIR
2003
ACM
13 years 11 months ago
2003
ACM
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
DEBU
2008
13 years 6 months ago
2008
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
CORR
2007
Springer
13 years 6 months ago
2007
Springer
Abstract. Users of online dating sites are facing information overload that requires them to manually construct queries and browse huge amount of matching user profiles. This beco...