99 search results - page 10 / 20 » Various aspects of user preference learning and recommender ... |
LWA
2004
13 years 11 months ago
2004
User models (UM)the explicit representation of all relevant aspects of a user's preferences, beliefs, etc. form the basis of virtually all adaptive systems. While early appro...
SIGIR
2012
ACM
12 years 24 days ago
2012
ACM
Existing multimedia recommenders suggest a specific type of multimedia items rather than items of different types personalized for a user based on his/her preference. Assume tha...
ICML
2000
IEEE
14 years 11 months ago
2000
IEEE
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
WWW
2010
ACM
14 years 5 months ago
2010
ACM
Recommender systems are an important component of many websites. Two of the most popular approaches are based on matrix factorization (MF) and Markov chains (MC). MF methods learn...
ENTER
2009
Springer
14 years 5 months ago
2009
Springer
Mobile devices are becoming an inseparable part of our lives and personalized location-based mobile services are gaining more and more popularity. The scope of this paper is to il...