Using user behaviour similarity for recommendation computation: the broadway approach
Proceedings of the HCI International '99 (the 8th International Conference on Human-Computer Interaction) on Human-Computer Interaction: Communication, Cooperation, and Application Design-Volume 2 - Volume 2
Advanced Data Preprocessing for Intersites Web Usage Mining
IEEE Intelligent Systems
A personalized recommender system for travel information
UbiMob '04 Proceedings of the 1st French-speaking conference on Mobility and ubiquity computing
A contextual user model for web personalization
WISE'07 Proceedings of the 2007 international conference on Web information systems engineering
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The present generation of Web browsers provides minimal support to assist users in browsing, making queries and checking results. Although many web sites tried to make their interfaces user friendly and easy to manage, there are no or little ones that ensure the user interface to provide high quality in use for all users who still find difficulties to find what they are looking for on the Web. In this paper, we address this problem by introducing a methodology for designing interfaces of tourism Web portals that adds personalization facilities. Our methodology reflects both the easy use of the Web and the adaptability to the user's characteristics and preferences. To do this, we investigate the use of the Semantic Web and the Web Usage Mining in order to help a user to explore an information space. To validate the methodology, a semantic search portal tool was designed and is on the way to be implemented as a part of a tourism portal for the Eiffel project.