Integrating query expansion and conceptual relevance feedback for personalized Web information retrieval

Keyword based querying has been an immediate and efficient way to specify and retrieve related information that the user inquired. However, conventional document ranking based on an automatic assessment of document relevance to the query may not be the best approach when little information is given. In this poster, we propose an idea to integrate two existing techniques: query expansion and relevance feedback to achieve a concept-based information search for the Web.