A Distributed Fuzzy Recommendation System

摘要

In this paper methods based on fuzzy logic are applied for the retrieval and analysis of data available on websites. As domains become more specific in web servers, fuzzy relations between words can be defined and used to direct users in sending more accurate search queries. The documents in each server is used for building a knowledge base that is employed by the recommendation system for the users of a P2P network containing that node. The large amount of perception-based data existing in the social networking websites (for example, user interests in Facebook), motivated us to propose this fuzzy-based retrieval system for Web2.0 social networking or other domain specific websites. Developing a scalable fuzzy logic based recommendation system for Web2.0 sites or digital libraries is a novel idea that has not been implemented before.