A simple solution for improving the effectiveness of traditional information retrieval systems
SEPADS'05 Proceedings of the 4th WSEAS International Conference on Software Engineering, Parallel & Distributed Systems
Content-based filtering in on-line social networks
PSDML'10 Proceedings of the international ECML/PKDD conference on Privacy and security issues in data mining and machine learning
Modelling learning & performance: a social networks perspective
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
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The amount of information currently available, the different media and presentation formats joined with the little time availability of the researchers and people in general, make necessary the implementation of automated tools selecting and evaluating information, aiming at not only optimizing resources but also obtaining useful and personalized results that optimize the dailywork of its users. A technique known as Information Filtering could be seen as a solution to this problem. Within an information filtering system, a user introduces a profile in the System which represents his/her information needs; then, the system works to display the relevantinformation. This article contains a sample of the research carried out by us in this important area, focusing the work towards two of its most representative techniques: "Content Based filtering" and "Collaborative filtering." These techniques have been studied from different points of view, allowing to create a solid framework which involves the necessary criteria for designing and creating a tool using the most outstanding characteristics of each technique. They provide a view to facilitate the work of people devoted to the search, depuration and distribution of information.