115 search results - page 4 / 23 » Data Sparsity Issues in the Collaborative Filtering Framewor... |
ECIR
2010
Springer
13 years 6 months ago
2010
Springer
Collaborative filtering is one of the most effective techniques for making personalized content recommendation. In the literature, a common experimental setup in the modeling phase...
AAAI
2012
11 years 7 months ago
2012
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
UAI
2003
13 years 6 months ago
2003
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
SIGKDD
2010
13 years 1 days 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
2000
ACM
13 years 9 months ago
2000
ACM
We present a Java-based framework, SWAMI (Shared Wisdom through the Amalgamation of Many Interpretations) for building and studying collaborative filtering systems. SWAMI consist...