88 search results - page 17 / 18 » Context-based splitting of item ratings in collaborative fil... |
KDD
2007
ACM
14 years 5 months ago
2007
ACM
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
GFKL
2007
Springer
13 years 11 months ago
2007
Springer
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
SIGKDD
2010
13 years 11 hour ago
2010
In recent years, compressive sensing attracts intensive attentions in the field of statistics, automatic control, data mining and machine learning. It assumes the sparsity of the ...
SIGIR
2012
ACM
11 years 7 months ago
2012
ACM
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
WWW
2005
ACM
14 years 6 months ago
2005
ACM
In the age of information explosion, recommendation system has been proved effective to cope with information overload in ecommerce area. However, unscrupulous producers shill the...