GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Collaborative filtering and the generalized vector space model (poster session)
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
SWAMI (poster session): a framework for collaborative filtering algorithm development and evaluation
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
Latent Class Models for Collaborative Filtering
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Content-boosted collaborative filtering for improved recommendations
Eighteenth national conference on Artificial intelligence
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A study of methods for normalizing user ratings in collaborative filtering
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Probabilistic Model Estimation for Collaborative Filtering Based on Items Attributes
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
A Bayesian approach toward active learning for collaborative filtering
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
IEEE Transactions on Knowledge and Data Engineering
Compound Classification Models for Recommender Systems
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
The web beyond popularity: a really simple system for web scale RSS
Proceedings of the 15th international conference on World Wide Web
Tensor-CUR decompositions for tensor-based data
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
EigenRank: a ranking-oriented approach to collaborative filtering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Improving top-n recommendation techniques using rating variance
Proceedings of the 2008 ACM conference on Recommender systems
CARES: a ranking-oriented CADAL recommender system
Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
Msuggest: a semantic recommender framework for traditional chinese medicine book search engine
Proceedings of the 18th ACM conference on Information and knowledge management
Probabilistic latent preference analysis for collaborative filtering
Proceedings of the 18th ACM conference on Information and knowledge management
Aizu-BUS: need-based book recommendation using web reviews and web services
DNIS'07 Proceedings of the 5th international conference on Databases in networked information systems
Three challenges in data mining
Frontiers of Computer Science in China
Online evolutionary collaborative filtering
Proceedings of the fourth ACM conference on Recommender systems
Book recommendation system for utilisation of library services
International Journal of Computational Science and Engineering
Utilizing marginal net utility for recommendation in e-commerce
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
An online video recommendation framework using rich information
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
A service-based framework for personalized learning objects retrieval and recommendation
ICWL'06 Proceedings of the 5th international conference on Advances in Web Based Learning
Quality and Leniency in Online Collaborative Rating Systems
ACM Transactions on the Web (TWEB)
DIY-CDR: an ontology-based, Do-It-Yourself component discoverer and recommender
Personal and Ubiquitous Computing
Opportunity model for e-commerce recommendation: right product; right time
Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval
Is it time for a career switch?
Proceedings of the 22nd international conference on World Wide Web
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In this paper, we describe a new model for collaborative filtering. The motivation of this work comes from the fact that two users with very similar preferences on items may have very different rating schemes. For example, one user may tend to assign a higher rating to all items than another user. Unlike previous models of collaborative filtering, which determine the similarity between two users only based on their rating performance, our model treats the user's preferences on items separately from the user's rating scheme. More specifically, for each user, we build two separate models: a preference model capturing which items are favored by the user and a rating model capturing how the user would rate an item given the preference information. The similarity of two users is computed based on the underlying preference model, instead of the surface ratings. We compare the new model with several representative previous approaches on two data sets. Experiment results show that the new model outperforms all the previous approaches that are tested consistently on both data sets.