Personalized Web Search: Uncommon Responses to Common Queries
Speaker: Jaime Teevan , Haystack project, CSAIL, MIT
Today, search is the same for everyone. If two people enter the query "AI", they get the same results, regardless of whether they are interested in artificial intelligence research, or a member of Amnesty International. In this talk, I will present research that deals with this problem by personalizing the Web search experience based on an index of information that the user has seen before. Developing personalized search gives rise to a number of challenges, from how to evaluate result quality to how to richly yet efficiently represent both the user and the corpus. I will address these issues and present a text-based search algorithm that significantly outperforms relevance feedback where the user has fully specified the relevant document set.