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ICDE
2011
IEEE
225views Database» more  ICDE 2011»
13 years 5 days ago
Methods for boosting recommender systems
—Online shopping has grown rapidly over the past few years. Besides the convenience of shopping directly from ones home, an important advantage of e-commerce is the great variety...
Rubi Boim, Tova Milo
INFOCOM
2010
IEEE
13 years 6 months ago
Predictive Blacklisting as an Implicit Recommendation System
A widely used defense practice against malicious traffic on the Internet is to maintain blacklists, i.e., lists of prolific attack sources that have generated malicious activity in...
Fabio Soldo, Anh Le, Athina Markopoulou
ECTEL
2006
Springer
14 years 4 days ago
Towards Community-Driven Development of Educational Materials: The Edukalibre Approach
Abstract. The libre software development model has shown how combining collective intelligence can lead to revolutionary methods that underpin major software advancements. This pap...
Jesús M. González-Barahona, Vania Di...
RECSYS
2010
ACM
13 years 8 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street
JMLR
2010
156views more  JMLR 2010»
13 years 3 months ago
Collaborative Filtering on a Budget
Matrix factorization is a successful technique for building collaborative filtering systems. While it works well on a large range of problems, it is also known for requiring signi...
Alexandros Karatzoglou, Alexander J. Smola, Markus...