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
Intelligent crawling on the World Wide Web with arbitrary predicates
Proceedings of the 10th international conference on World Wide Web
Item-based collaborative filtering recommendation algorithms
Proceedings of the 10th international conference on World Wide Web
Self-Organizing Maps
A new Bayesian tree learning method with reduced time and space complexity
Fundamenta Informaticae
E-Commerce Recommendation Applications
Data Mining and Knowledge Discovery
Learning to Probabilistically Identify Authoritative Documents
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
A Self-Organizing Network that Can Follow Non-stationary Distributions
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
More than the sum of its members: challenges for group recommender systems
Proceedings of the working conference on Advanced visual interfaces
Coexistence of fuzzy and crisp concepts in document maps
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
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The increasing number of documents returned by search engines for typical requests makes it necessary to look for new methods of representation of the search results. In this paper, we discuss the possibility to exploit incremental, navigational maps based both on page content, hyperlinks connecting similar pages and ranking algorithms (such as HITS, SALSA, PHITS and PageRank) in order to build visual recommender system. Such system would have an immediate impact on business information management (e.g. CRM and marketing, consulting, education and training) and is a major step on the way to information personalization.