CiteEval for Evaluating Personalized Social Web Search

1. DEVELOPING CITEEVAL The technologies and the ideas of Web 2.0 have significantly changed users in thinking and using Web information in their work and other aspects of daily life. More and more Web users, from sophisticated to naïve, are more willing to share online their own ideas, readings, documents, and many other materials. As a result, there is much more potential relevant information in social Web setting for users to search on, at the same time, by knowing more about individual users’ interests, knowledge and preference, it is possible to build personalized search systems to support users’ searches. Personalization has attracted researchers from information retrieval, user modeling, machine learning communities, and has generated many interesting results. However, no reasonable large test collection is yet available for researchers to compare their personalization algorithms.