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» A Web Recommendation System Based on Maximum Entropy
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ITCC
2005
IEEE
13 years 8 months ago
A Web Recommendation System Based on Maximum Entropy
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...
Xin Jin, Bamshad Mobasher, Yanzan Zhou
KDD
2005
ACM
218views Data Mining» more  KDD 2005»
14 years 3 months ago
A maximum entropy web recommendation system: combining collaborative and content features
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...
Xin Jin, Yanzan Zhou, Bamshad Mobasher
WWW
2007
ACM
14 years 3 months ago
Modeling user behavior in recommender systems based on maximum entropy
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...
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada
ICDE
2007
IEEE
90views Database» more  ICDE 2007»
13 years 9 months ago
Music Recommendation Mapping and Interface Based on Structural Network Entropy
Recommendation systems generally produce the results of their output to their users in the form of an ordinal list. In the interest of simplicity, these lists are often obscure, ,...
Justin Donaldson
UM
2005
Springer
13 years 8 months ago
Task-Oriented Web User Modeling for Recommendation
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...
Xin Jin, Yanzan Zhou, Bamshad Mobasher