6 search results - page 1 / 2 » Probabilistic Reinforcement Rules for Item-Based Recommender... |
ECAI
2008
Springer
13 years 6 months ago
2008
Springer
The Internet is constantly growing, proposing more and more services and sources of information. Modeling personal preferences enables recommender systems to identify relevant subs...
STAIRS
2008
13 years 5 months ago
2008
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
AIRS
2005
Springer
13 years 10 months ago
2005
Springer
In order to make personalized recommendations, many collaborative music recommender systems (CMRS) focused on capturing precise similarities among users or items based on user hist...
IPM
2007
13 years 4 months ago
2007
A recommender system has an obvious appeal in an environment where the amount of on-line information vastly outstrips any individual’s capability to survey. Music recommendation...
DEBU
2008
13 years 4 months ago
2008
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...