16 search results - page 2 / 4 » The Effect of Sparsity on Collaborative Filtering Metrics |
AIRS
2006
Springer
13 years 9 months ago
2006
Springer
Search Engines today often return a large volume of results with possibly a few relevant results. The notion of relevance is subjective and depends on the user and the context of ...
ICDIM
2007
IEEE
13 years 5 months ago
2007
IEEE
In collaborative filtering systems, a common technique is default voting. Unknown ratings are filled with a default value to alleviate the sparsity of rating databases. We show ...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
Spectrum sensing, which aims at detecting spectrum holes, is the precondition for the implementation of cognitive radio. Collaborative spectrum sensing among the cognitive radio n...
IAT
2009
IEEE
14 years 9 days ago
2009
IEEE
Collaborative Filtering based on similarity suffers from a variety of problems such as sparsity and scalability. In this paper, we propose an ontological model of trust between us...
AAAI
2012
11 years 8 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...