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RECSYS
2010
ACM
13 years 6 months ago
Recommending based on rating frequencies
Since the development of the comparably simple neighborhood-based methods in the 1990s, a plethora of techniques has been developed to improve various aspects of collaborative fil...
Fatih Gedikli, Dietmar Jannach
RECSYS
2010
ACM
13 years 6 months ago
Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering
Context has been recognized as an important factor to consider in personalized Recommender Systems. However, most model-based Collaborative Filtering approaches such as Matrix Fac...
Alexandros Karatzoglou, Xavier Amatriain, Linas Ba...
RECSYS
2010
ACM
13 years 6 months ago
Recommending twitter users to follow using content and collaborative filtering approaches
Recently the world of the web has become more social and more real-time. Facebook and Twitter are perhaps the exemplars of a new generation of social, real-time web services and w...
John Hannon, Mike Bennett, Barry Smyth
RECSYS
2010
ACM
13 years 6 months ago
On the real-time web as a source of recommendation knowledge
The so-called real-time web (RTW) is a web of opinions, comments, and personal viewpoints, often expressed in the form of short, 140-character text messages providing abbreviated ...
Sandra Garcia Esparza, Michael P. O'Mahony, Barry ...
RECSYS
2010
ACM
13 years 4 months ago
RECON: a reciprocal recommender for online dating
The reciprocal recommender is a class of recommender system that is important for several tasks where people are both the subjects and objects of the recommendation. Some examples...
Luiz Augusto Sangoi Pizzato, Tomek Rej, Thomas Chu...