Information Filtering based on Fuzzy Logic
An intelligent information filtering system removes redundant or unwanted information from an information stream using adaptive methods and complex representations of users and resources. Furthermore, such a system must be general enough to accommodate different needs and diverse sources of information. Also, it should take into account the inevitable imprecision deriving by the necessity of representing complex phenomena in ways that are computationally feasible. The objective of this research project is to define and implement an abstract model of information filtering capable of representing users and resources with the main features of generality, adaptivity and capability of handling imprecise information.
In particular, the research project aims at:
1) developing an information filter model based on fuzzy logic, with a general and extensible structure based on meta-data;
This job comes from a partnership with Science Magazine and