Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Agents that reduce work and information overload
Communications of the ACM
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PHOAKS: a system for sharing recommendations
Communications of the ACM
Fab: content-based, collaborative recommendation
Communications of the ACM
Evolving a multi-agent information filtering solution in Amalthaea
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Concept features in Re:Agent, an intelligent Email agent
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Collecting user access patterns for building user profiles and collaborative filtering
IUI '99 Proceedings of the 4th international conference on Intelligent user interfaces
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
Automatic recording agent for digital video server
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
Extended Boolean information retrieval
Communications of the ACM
Personalization of Supermarket Product Recommendations
Data Mining and Knowledge Discovery
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Adaptive web search based on user profile constructed without any effort from users
Proceedings of the 13th international conference on World Wide Web
Improving recommendation lists through topic diversification
WWW '05 Proceedings of the 14th international conference on World Wide Web
IC-service: a service-oriented approach to the development of recommendation systems
Proceedings of the 2007 ACM symposium on Applied computing
ACM Transactions on Information Systems (TOIS)
The DYNAMOS approach to support context-aware service provisioning in mobile environments
Journal of Systems and Software
Effects of emotion control and task on Web searching behavior
Information Processing and Management: an International Journal
AWESOME: a data warehouse-based system for adaptive website recommendations
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Tagommenders: connecting users to items through tags
Proceedings of the 18th international conference on World wide web
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Coping with noisy search experiences
Knowledge-Based Systems
Collaborative filtering recommender systems
The adaptive web
Personalizing the settings for Cf-based recommender systems
Proceedings of the fourth ACM conference on Recommender systems
Improving neighborhood based Collaborative Filtering via integrated folksonomy information
Pattern Recognition Letters
Opinion filtered recommendation trust model in peer-to-peer networks
AP2PC'04 Proceedings of the Third international conference on Agents and Peer-to-Peer Computing
UP-DRES: user profiling for a dynamic REcommendation system
ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining
The relation between user intervention and user satisfaction for information recommendation
Proceedings of the 27th Annual ACM Symposium on Applied Computing
A Multi-Criteria Metric Algorithm for Recommender Systems
Fundamenta Informaticae - Theory that Counts: To Oscar Ibarra on His 70th Birthday
Pessimists and optimists: Improving collaborative filtering through sentiment analysis
Expert Systems with Applications: An International Journal
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In a world where the number of choices can be overwhelming, recommender systems help users find and evaluate items of interest. They do so by connecting users with information regarding the content of recommended items or the opinions of other individuals. Such systems have become powerful tools in domains such as electronic commerce, digital libraries, and knowledge management. In this paper, we address such systems and introduce a new class of recommender system called meta-recommenders. Meta-recommenders provide users with personalized control over the generation of a single recommendation list formed from a combination of rich data using multiple information sources and recommendation techniques. We discuss experiments conducted to aid in the design of interfaces for a meta-recommender in the domain of movies. We demonstrate that meta-recommendations fill a gap in the current design of recommender systems. Finally, we consider the challenges of building real-world, usable meta-recommenders across a variety of domains.