52 search results - page 2 / 11 » Probabilistic Association Rules for Item-Based Recommender S... |
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...
AUSAI
2006
Springer
13 years 8 months ago
2006
Springer
Web recommendation systems based on web usage mining try to mine users' behavior patterns from web access logs, and recommend pages to the online user by matching the user...
DATAMINE
2002
13 years 4 months ago
2002
Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among customers' preferences. We investigate the use of a...
ICWE
2010
Springer
13 years 3 months ago
2010
Springer
Personalization systems based upon users' surfing behavior analysis imply three phases: data collection, pattern discovery and recommendation. Due to the dimension of log file...
KES
2004
Springer
13 years 10 months ago
2004
Springer
Recommendation systems often use association rules as main technique to discover useful links among the set of transactions, especially web usage data – historical user sessions....