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CORR
2010
Springer
118views Education» more  CORR 2010»
13 years 5 months ago
Estimating Probabilities in Recommendation Systems
Modeling ranked data is an essential component in a number of important applications including recommendation systems and websearch. In many cases, judges omit preference among un...
Mingxuan Sun, Guy Lebanon, Paul Kidwell
ITCC
2005
IEEE
14 years 2 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
AIR
2005
122views more  AIR 2005»
13 years 8 months ago
Retrieval Failure and Recovery in Recommender Systems
In case-based reasoning (CBR) approaches to product recommendation, descriptions of the available products are stored in a case library and retrieved in response to a query represe...
David McSherry
IUI
2004
ACM
14 years 2 months ago
Don't miss-r --: recommending restaurants through an adaptive mobile system
The present study compares an adaptive simulated cellular-phone based recommender system to a non-adaptive one, in order to evaluate user preferences with respect to system adapti...
Dina Goren-Bar, Tsvi Kuflik
CORR
2010
Springer
169views Education» more  CORR 2010»
13 years 3 months ago
Recommender Systems by means of Information Retrieval
In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
Alberto Costa, Fabio Roda