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» PolyLens: A recommender system for groups of user
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SOCIALCOM
2010
13 years 5 months ago
GDC: Group Discovery Using Co-location Traces
Smart phones can collect and share Bluetooth co-location traces to identify ad hoc or semi-permanent social groups. This information, known to group members but otherwise unavailab...
Steve Mardenfeld, Daniel Boston, Susan Juan Pan, Q...
RECSYS
2010
ACM
13 years 7 months ago
Workshop on user-centric evaluation of recommender systems and their interfaces
In this paper, we aim to analyse the current level of usability on ten popular online websites utilising some kind of reputation system. The conducted heuristic and expert evaluat...
Bart P. Knijnenburg, Lars Schmidt-Thieme, Dirk G. ...
WSDM
2012
ACM
352views Data Mining» more  WSDM 2012»
12 years 2 months ago
Multi-relational matrix factorization using bayesian personalized ranking for social network data
A key element of the social networks on the internet such as Facebook and Flickr is that they encourage users to create connections between themselves, other users and objects. On...
Artus Krohn-Grimberghe, Lucas Drumond, Christoph F...
CSREAEEE
2006
174views Business» more  CSREAEEE 2006»
13 years 8 months ago
Using Temporal Information in Collaborative Filtering: An Empirical Study
- Collaborative filtering is a widely used and proven method of building recommender systems that provide personalized recommendations on products or services based on explicit rat...
Young Park, Tong-Queue Lee
PAAPP
2007
109views more  PAAPP 2007»
13 years 6 months ago
Relation rule mining
\Web users are nowadays confronted with the huge variety of available information sources whose content is not targeted at any specific group or layer. Recommendation systems aim...
Mehdi Adda, Rokia Missaoui, Petko Valtchev