Decision theory in expert systems and artificial intelligence
International Journal of Approximate Reasoning
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
A system for automatic personalized tracking of scientific literature on the Web
Proceedings of the fourth ACM conference on Digital libraries
Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Collaborative Filtering Using Weighted Majority Prediction Algorithms
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Learning Collaborative Information Filters
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
An Efficient Boosting Algorithm for Combining Preferences
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Myopic Policies in Sequential Classification
IEEE Transactions on Computers
Journal of Artificial Intelligence Research
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Improving the prediction accuracy of recommendation algorithms: Approaches anchored on human factors
Interacting with Computers
A collaborative filtering method based on artificial immune network
Expert Systems with Applications: An International Journal
A method of extracting malicious expressions in bulletin board systems by using context analysis
Information Processing and Management: an International Journal
Expert Systems with Applications: An International Journal
The impact of data obfuscation on the accuracy of collaborative filtering
Expert Systems with Applications: An International Journal
Goal-driven collaborative filtering – a directional error based approach
ECIR'2010 Proceedings of the 32nd European conference on Advances in Information Retrieval
Collaborative filtering using associative neural memory
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
WebKDD'05 Proceedings of the 7th international conference on Knowledge Discovery on the Web: advances in Web Mining and Web Usage Analysis
A latent model for collaborative filtering
International Journal of Approximate Reasoning
A user-item relevance model for log-based collaborative filtering
ECIR'06 Proceedings of the 28th European conference on Advances in Information Retrieval
Collaborative Filtering Recommender Systems
Foundations and Trends in Human-Computer Interaction
An exploration of improving collaborative recommender systems via user-item subgroups
Proceedings of the 21st international conference on World Wide Web
Kernel-Mapping Recommender system algorithms
Information Sciences: an International Journal
A recommender mechanism for service selection in service-oriented environments
Future Generation Computer Systems
Knowledge management system architecture: a bridge between KM consultants and technologists
International Journal of Information Management: The Journal for Information Professionals
Multimedia Tools and Applications
Electronic Commerce Research and Applications
Item recommender system by incorporating metadata information into ternary semantic analysis
Proceedings of the CUBE International Information Technology Conference
PRemiSE: personalized news recommendation via implicit social experts
Proceedings of the 21st ACM international conference on Information and knowledge management
Social temporal collaborative ranking for context aware movie recommendation
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
An effective recommendation method for cold start new users using trust and distrust networks
Information Sciences: an International Journal
News recommendation via hypergraph learning: encapsulation of user behavior and news content
Proceedings of the sixth ACM international conference on Web search and data mining
Learning multiple-question decision trees for cold-start recommendation
Proceedings of the sixth ACM international conference on Web search and data mining
Advance missing data processing for collaborative filtering
ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part II
Resource recommendation for intelligent environments based on a multi-aspect metric
UCAmI'12 Proceedings of the 6th international conference on Ubiquitous Computing and Ambient Intelligence
Research paper recommender system evaluation: a quantitative literature survey
Proceedings of the International Workshop on Reproducibility and Replication in Recommender Systems Evaluation
Personalized news recommendation via implicit social experts
Information Sciences: an International Journal
International Journal of Business Information Systems
User behavior learning and transfer in composite social networks
ACM Transactions on Knowledge Discovery from Data (TKDD) - Casin special issue
Modeling and broadening temporal user interest in personalized news recommendation
Expert Systems with Applications: An International Journal
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The growth of Internet commerce has stimulated the use of collaborative filtering (CF) algorithms as recommender systems. Such systems leverage knowledge about the known preferences of multiple users to recommend items of interest to other users. CF methods have been harnessed to make recommendations about such items as web pages, movies, books, and toys. Researchers have proposed and evaluated many approaches for generating recommendations. We describe and evaluate a new method called personality diagnosis (PD). Given a user's preferences for some items, we compute the probability that he or she is of the same "personality type" as other users, and, in turn, the probability that he or she will like new items. PD retains some of the advantages of traditional similarity-weighting techniques in that all data is brought to bear on each prediction and new data can be added easily and incrementally. Additionally, PD has a meaningful probabilistic interpretation, which may be leveraged to justify, explain, and augment results. We report empirical results on the EachMovie database of movie ratings, and on user profile data collected from the CiteSeer digital library of Computer Science research papers. The probabilistic framework naturally supports a variety of descriptive measurements--in particular, we consider the applicability of a value of information (VOI) computation.