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

Abstract

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 higher-quality results than a text-based search engine. However, they have difficulty in producing the result fit to a specific user's preference. Personalization is required to support a more appropriate result. Among many techniques, the fuzzy concept network based on a user profile can represent a user's subjective interest properly. The 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 a user profile reorders five results of the link-based search engine, and the system provides a personalized high-quality result. Experimental results with three subjects indicate that the system developed searches not only relevant but also personalized Web pages on a user's preference.