A personalized web search engine using fuzzy concept network with link structure

There has been much research on link-based search engines such as google and clever. They use link structure to find precision result. Usually, a link-based search engine produces high-quality result than text-based search engines. However they have difficulty to produce the result fit to a specific user's preference. Personalization is required to support more appropriate result. Among many techniques, the fuzzy concept network based on user profile can represent user's subjective interest properly. This paper presents another search engine that uses the fuzzy concept network to personalize the results from a link-based search method. The fuzzy concept network based on user profile reorders five results of the link-based search engine, and the system provides personalized high-quality result. Experimental results with three subjects indicate that the system developed searches not only relevant but also personalized web pages on user's preference.