49 search results - page 3 / 10 » Letting Users Choose Recommender Algorithms: An Experimental... |
CSCW
2006
ACM
14 years 4 days ago
2006
ACM
If recommenders are to help people be more productive, they need to support a wide variety of real-world information seeking tasks, such as those found when seeking research paper...
SIGMOD
2010
ACM
13 years 11 months ago
2010
ACM
We study recommendations in applications where there are temporal patterns in the way items are consumed or watched. For example, a student who has taken the Advanced Algorithms c...
SAC
2008
ACM
13 years 5 months ago
2008
ACM
Recommender Systems (RS) aim at predicting items or ratings of items that the user are interested in. Collaborative Filtering (CF) algorithms such as user- and item-based methods ...
KDD
2006
ACM
14 years 6 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...
CHI
2010
ACM
14 years 1 months ago
2010
ACM
More and more web users keep up with newest information through information streams such as the popular microblogging website Twitter. In this paper we studied content recommendat...