Recommendation of Web pages based on concept association

Abstract

The precision and recall are two main criteria used to evaluate the performance of search engines. For general queries, the precision is most important, but for specific uses, e.g. scientific researchers and applicants for patent rights, the recall is most important and is often ignored. In this paper, an approach to Web pages recommendation based on concept association is introduced. This approach can produce recommended Web page links for users based on the information that associates strongly with users' queries, and therefore improve the recall of a search engine. In the paper, we discuss the meaning, effect and variety of concept association, and describe how to generate associational information related with users' queries and how to realize the association-based recommendation of Web pages. We also present relevant experimental results and give idea about our further work.