7 search results - page 1 / 2 » Collaborative Denoising Auto-Encoders for Top-N Recommender ... |
RECSYS
2009
ACM
14 years 5 months ago
2009
ACM
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
SIGIR
2010
ACM
14 years 2 months ago
2010
ACM
Collaborative Filtering (CF) algorithms, used to build webbased recommender systems, are often evaluated in terms of how accurately they predict user ratings. However, current eva...
RECSYS
2009
ACM
14 years 5 months ago
2009
ACM
This thesis investigates application of clustering to multi-criteria ratings as a method of improving the precision of top-N recommendations. With the advent of ecommerce sites th...
AUSDM
2007
Springer
14 years 5 months ago
2007
Springer
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
AINA
2009
IEEE
14 years 4 months ago
2009
IEEE
Recommender systems are used to suggest customized products to users. Most recommender algorithms create collaborative models by taking advantage of web user profiles. In the las...