Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Model integration and a theory of models
Decision Support Systems - Special issue on model management systems
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
Decision support systems in the twenty-first century
Decision support systems in the twenty-first century
Horting hatches an egg: a new graph-theoretic approach to collaborative filtering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Combining collaborative filtering with personal agents for better recommendations
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Getting to know you: learning new user preferences in recommender systems
Proceedings of the 7th international conference on Intelligent user interfaces
The New Science of Management Decision
The New Science of Management Decision
A graph-based recommender system for digital library
Proceedings of the 2nd ACM/IEEE-CS joint conference on Digital libraries
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Towards more conversational and collaborative recommender systems
Proceedings of the 8th international conference on Intelligent user interfaces
Toward a personal recommender system
Toward a personal recommender system
Introduction to recommender systems: Algorithms and Evaluation
ACM Transactions on Information Systems (TOIS)
Proceedings of the 10th international conference on Intelligent user interfaces
A web-based consumer-oriented intelligent decision support system for personalized e-services
ICEC '04 Proceedings of the 6th international conference on Electronic commerce
IEEE Transactions on Knowledge and Data Engineering
Recommending research colloquia: a study of several sources for user profiling
Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems
A generic semantic-based framework for cross-domain recommendation
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems
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Recommender Systems belong to a class of systems intended to assist individuals make evaluations about entities in meaningful ways. In this paper we discuss the issues in the design of integrated recommender systems and suggest a framework that takes the perspective of an individual functioning in multiple domains. This is particularly applicable today with the rapidly increasing diffusion of personalized, networked mobile devices. We present some preliminary design ideas in the form of a functional prototype.