362 search results - page 23 / 73 » Learning preferences of new users in recommender systems: an... |
KAIS
2011
13 years 2 months ago
2011
Recommendation Systems have become an important tool to cope with the information overload problem by acquiring data about the user behavior. After tracing the user behavior, throu...
DL
1999
Springer
13 years 12 months ago
1999
Springer
TalkMine is an adaptive recommendation system which is both content-based and collaborative, and further allows the crossover of information among multiple databases searched by u...
MDM
2005
Springer
14 years 1 months ago
2005
Springer
Traditional approaches to recommender systems have not taken into account situational information when making recommendations, and this seriously limits the relevance of the resul...
JCDL
2011
ACM
12 years 10 months ago
2011
ACM
Serendipity occurs when one finds an interesting discovery while searching for something else. In digital libraries, recommendation engines are particularly well-suited for seren...
WWW
2010
ACM
14 years 2 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...