33 search results - page 1 / 7 » Collaborative prediction and ranking with non-random missing... |
RECSYS
2009
ACM
13 years 11 months ago
2009
ACM
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ...
WEBI
2001
Springer
13 years 9 months ago
2001
Springer
: Automated collaborative filtering is a popular technique for reducing information overload. In this paper, we propose a new approach for the collaborative filtering using local...
SIGKDD
2010
12 years 11 months 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
2008
ACM
13 years 4 months ago
2008
ACM
A recommender system must be able to suggest items that are likely to be preferred by the user. In most systems, the degree of preference is represented by a rating score. Given a...
16
Voted
BMCBI
2008
13 years 5 months ago
2008
Background: The information from different data sets experimented under different conditions may be inconsistent even though they are performed with the same research objectives. ...