From user access patterns to dynamic hypertext linking
Proceedings of the fifth international World Wide Web conference on Computer networks and ISDN systems
SiteHelper: a localized agent that helps incremental exploration of the World Wide Web
Selected papers from the sixth international conference on World Wide Web
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic personalization based on Web usage mining
Communications of the ACM
Foundations of Neuro-Fuzzy Systems
Foundations of Neuro-Fuzzy Systems
Clustering validity checking methods: part II
ACM SIGMOD Record
Mining Access Patterns Efficiently from Web Logs
PADKK '00 Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Current Issues and New Applications
Creating Adaptive Web Sites Through Usage-Based Clustering of URLs
KDEX '99 Proceedings of the 1999 Workshop on Knowledge and Data Engineering Exchange
SUGGEST: A Web Usage Mining System
ITCC '02 Proceedings of the International Conference on Information Technology: Coding and Computing
Similarity measures on intuitionistic fuzzy sets
Pattern Recognition Letters
A web personalization system based on web usage mining techniques
Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters
A Web Recommendation System Based on Maximum Entropy
ITCC '05 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'05) - Volume I - Volume 01
Similarity-Based Fuzzy Clustering for User Profiling
WI-IATW '07 Proceedings of the 2007 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
Knowledge discovery by a neuro-fuzzy modeling framework
Fuzzy Sets and Systems
ARS: web page recommendation system for anonymous users based on web usage mining
ECS'10/ECCTD'10/ECCOM'10/ECCS'10 Proceedings of the European conference of systems, and European conference of circuits technology and devices, and European conference of communications, and European conference on Computer science
A genre-based fuzzy inference approach for effective filtering of movies
Intelligent Data Analysis
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In the era of the Web, there is urgent need for developing systems able to personalize the online experience of Web users on the basis of their needs. Web recommendation is a promising technology that attempts to predict the interests of Web users, by providing them with information and/or services that they need without explicitly asking for them. In this paper we propose NEWER, a usage-based Web recommendation system that exploits the potential of Computational Intelligence techniques to dynamically suggest interesting pages to users according to their preferences. NEWER employs a neuro-fuzzy approach in order to determine categories of users sharing similar interests and to discover a recommendation model as a set of fuzzy rules expressing the associations between user categories and relevances of pages. The discovered model is used by a online recommendation module to determine the list of links judged relevant for users. The results obtained on both synthetic and real-world data show that NEWER is effective for recommendation, leading to a quality of the generated recommendations comparable and often significantly better than those of other approaches employed for the comparison.