Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Footprints: history-rich tools for information foraging
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
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
Architecture of a metasearch engine that supports user information needs
Proceedings of the eighth international conference on Information and knowledge management
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Web-collaborative filtering: recommending music by crawling the Web
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
Towards adaptive Web sites: conceptual framework and case study
Artificial Intelligence - Special issue on Intelligent internet systems
Analysis of recommendation algorithms for e-commerce
Proceedings of the 2nd ACM conference on Electronic commerce
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
STOC '01 Proceedings of the thirty-third annual ACM symposium on Theory of computing
Recommender systems in commerce and community
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluation of Item-Based Top-N Recommendation Algorithms
Proceedings of the tenth international conference on Information and knowledge management
Recommendation systems: a probabilistic analysis
Journal of Computer and System Sciences - Special issue on Internet algorithms
Personalization of Supermarket Product Recommendations
Data Mining and Knowledge Discovery
Privacy Risks in Recommender Systems
IEEE Internet Computing
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Utilizing Popularity Characteristics for Product Recommendation
International Journal of Electronic Commerce
A new similarity measure for collaborative filtering to alleviate the new user cold-starting problem
Information Sciences: an International Journal
Query Recommendations for Interactive Database Exploration
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Selecting a small number of products for effective user profiling in collaborative filtering
Expert Systems with Applications: An International Journal
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The proliferation of information available on the world wide web and the new emerging technologies that have reduced the barriers in organizing and publishing documents, have made the support for navigation and personalization of web sites an appealing and promising task for the AI community. Making the process of retrieving relevant documents easier is one of the most challenging activities in the design of modern sites and goes beyond any particular domain. This paper proposes a new technique for Web navigation based on current algorithms used in Recommendation Systems. Our approach identifies really relevant documents adopting methodologies similar to those successfully used in current search engines. The effectiveness and the validity of our technique have been shown by several experiments.