A Personalized Search Engine Using Ontology-Based Fuzzy Concept Networks

Nowadays, personalization of search engines as the only web search tools plays important role in increasing the speed of access to web information. Since the users may have diverse backgrounds and expectations for a given query, personalization of search engines results based on user's profile can help to better match the overall interests of an individual user. In this paper we personalize the search engine results using the automatic fuzzy concept networks. Our main idea is to employ the concepts of ontology in order to enrich the common fuzzy concept networks built based on user's profile. Experimental results indicate improvement in personalized search engine results using enriched fuzzy concept networks comparing to common fuzzy concept networks.