Analyzing User Actions within a Web 2.0 Portal to Improve a Collaborative Filtering Recommendation System

Authors:
Andrea Turati;Dario Cerizza;Irene Celino;Emanuele Della Valle
Affiliations:
-;-;-;-
Venue:
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Year:
2009

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Abstract

The current Web manifests the problem of information overload, especially due to the success of the Web 2.0 paradigm, in which users provide new contents quickly. To help people find the most valuable information, many Web sites include a recommendation system based on a rating mechanism. However, such approach cannot be used when a rating mechanism is not present and, in addition, it does not take into account all the actions performed by the users. We propose an extension of the collaborative filtering approach to design a more effective recommendation system that overcomes those limitations.