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» A Web Recommendation System Based on Maximum Entropy
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ESWA
2002
134views more  ESWA 2002»
13 years 7 months ago
A personalized recommender system based on web usage mining and decision tree induction
A personalized product recommendation is an enabling mechanism to overcome information overload occurred when shopping in an Internet marketplace. Collaborative filtering has been...
Yoon Ho Cho, Jae Kyeong Kim, Soung Hie Kim
AICOM
2008
146views more  AICOM 2008»
13 years 7 months ago
Domain action classification using a maximum entropy model in a schedule management domain
Since speaker's intentions can be represented into domain actions (pairs of domain-independent speech acts and domain-dependent concept sequences) in goal-oriented dialogues,...
Hyunjung Lee, Harksoo Kim, Jungyun Seo
WISE
2008
Springer
14 years 2 months ago
A Web-Based Automated System for Industry and Occupation Coding
This paper describes Automated Industry and Occupation Coding System (AIOCS). The main function of the system is to classify natural language responses to survey questionnaires int...
Yuchul Jung, Jihee Yoo, Sung-Hyon Myaeng, Dong-Che...
SIGIR
2005
ACM
14 years 1 months ago
The maximum entropy method for analyzing retrieval measures
We present a model, based on the maximum entropy method, for analyzing various measures of retrieval performance such as average precision, R-precision, and precision-at-cutoffs....
Javed A. Aslam, Emine Yilmaz, Virgiliu Pavlu
WISE
2009
Springer
14 years 4 months ago
A Web Recommender System for Recommending, Predicting and Personalizing Music Playlists
In this paper, we present a Web recommender system for recommending, predicting and personalizing music playlists based on a user model. We have developed a hybrid similarity match...
Zeina Chedrawy, Syed Sibte Raza Abidi