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1301.7363
Cited By
Empirical Analysis of Predictive Algorithms for Collaborative Filtering
30 January 2013
J. Breese
David Heckerman
C. Kadie
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Papers citing
"Empirical Analysis of Predictive Algorithms for Collaborative Filtering"
50 / 166 papers shown
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Distributed-Representation Based Hybrid Recommender System with Short Item Descriptions
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Reflections on Sentiment/Opinion Analysis
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Individualized Rank Aggregation using Nuclear Norm Regularization
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Matrix Completion on Graphs
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Matrix Factorization with Explicit Trust and Distrust Relationships
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Hybrid Q-Learning Applied to Ubiquitous recommender system
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Attention-Sensitive Alerting
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Using Temporal Data for Making Recommendations
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Symmetric Collaborative Filtering Using the Noisy Sensor Model
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Probabilistic Models for Unified Collaborative and Content-Based Recommendation in Sparse-Data Environments
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An MDP-based Recommender System
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Christopher Meek
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Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
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Volker Tresp
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Active Collaborative Filtering
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Response Aware Model-Based Collaborative Filtering
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Maximum Entropy for Collaborative Filtering
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A Bayesian Approach toward Active Learning for Collaborative Filtering
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A Comparative Study of Collaborative Filtering Algorithms
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Ordinal Boltzmann Machines for Collaborative Filtering
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111
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