48 search results - page 1 / 10 » Modeling user behavior in recommender systems based on maxim... |
WWW
2007
ACM
14 years 5 months ago
2007
ACM
We propose a model for user purchase behavior in online stores that provide recommendation services. We model the purchase probability given recommendations for each user based on...
ITCC
2005
IEEE
13 years 10 months ago
2005
IEEE
We propose a Web recommendation system based on a maximum entropy model. Under the maximum entropy principle, we can combine multiple levels of knowledge about users’ navigation...
KDD
2005
ACM
14 years 5 months ago
2005
ACM
Web users display their preferences implicitly by navigating through a sequence of pages or by providing numeric ratings to some items. Web usage mining techniques are used to ext...
UM
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. We propose an approach for modeling the navigational behavior of Web users based on task-level patterns. The discovered “tasks” are characterized probabilistically as...
ICDM
2003
IEEE
13 years 10 months ago
2003
IEEE
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...