PEER KNOWLEDGE ASSISTED SEARCH USING COMMUNITY SEARCH LOGS

Search engines have become an increasingly important educational tool. By just typing a few keywords into a search engine text-box, finding information has become an easy exercise. However, some people cannot use search engines effectively for various reasons. Students may not know how to choose proper keywords. They may have difficulty in selecting relevant information from millions of search results. In this paper, we propose a search engine system that shares search queries and browsing history among students. We refer to the search queries and browsing history as a€ community search logsa€ . This system analyzes these community search logs, and shares the studentsa€ knowledge and experience with each other. Our purpose is to help students to improve their searching efficiency, especially those who are not good at searching.