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» Using mixture models for collaborative filtering
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APWEB
2006
Springer
14 years 10 days ago
Adaptive User Profile Model and Collaborative Filtering for Personalized News
Abstract. In recent years, personalized news recommendation has received increasing attention in IR community. The core problem of personalized recommendation is to model and track...
Jue Wang, Zhiwei Li, Jinyi Yao, Zengqi Sun, Mingji...
ICASSP
2010
IEEE
13 years 6 months ago
Improved single-channel speech separation using sinusoidal modeling
We present a novel single-channel separation approach to improve the separation performance while recovering the signals from a mixture. The key idea in this research is to employ...
Pejman Mowlaee, Mads Græsbøll Christe...
AAAI
2006
13 years 10 months ago
Model-Based Collaborative Filtering as a Defense against Profile Injection Attacks
The open nature of collaborative recommender systems allows attackers who inject biased profile data to have a significant impact on the recommendations produced. Standard memory-...
Bamshad Mobasher, Robin D. Burke, Jeff J. Sandvig
IJIT
2004
13 years 10 months ago
Evaluation of Algorithms for Sequential Decision in Biosonar Target Classification
A sequential decision problem, based on the task of identifying the species of trees given acoustic echo data collected from them, is considered with well-known stochastic classifi...
Turgay Temel, John Hallam
UAI
2003
13 years 10 months ago
Preference-based Graphic Models for Collaborative Filtering
Collaborative filtering is a very useful general technique for exploiting the preference patterns of a group of users to predict the utility of items to a particular user. Previou...
Rong Jin, Luo Si, ChengXiang Zhai