270 search results - page 24 / 54 » Explaining collaborative filtering recommendations |
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
STOC
2004
ACM
14 years 8 months ago
2004
ACM
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...
SIGIR
2010
ACM
13 years 11 months ago
2010
ACM
Collaborative Filtering (CF) algorithms, used to build webbased recommender systems, are often evaluated in terms of how accurately they predict user ratings. However, current eva...
TKDD
2010
13 years 6 months ago
2010
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...