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Survey on Personalized Information Retrieval
PhD Qualifying Examination Title: "Survey on Personalized Information Retrieval" by Mr. Pengfei ZHAO Abstract: When users perform a search, they should have a specific goal in mind. However, due to the fact that queries are mostly short and polysemous, it is important for search engines to consider individual user's context when they issue the query and retrieve the search results tailored to user's specific needs. A context refers to the environment around a user that reflects or affects the user's search goal. Web search personalization is the process that allows a search engine to adapt the search results to user's specific goal by incorporating user's context information beyond the query provided. Effective search engine personalization techniques involve two major challenges: (1) accurately identifying the user context and (2) model the context information such that it can be effectively integrated into the existed information retrieval model, by which the search results can be organized in a way that can match the particular context of the user. This paper presents a systematic literature survey on state-of-the-art search engine personalization techniques focusing on the above two challenges. First, we review some classical retrieval models (e.g. the vector space model, Okapi BM25, Kullback-Leibler divergence).We then introduce several types of contexts which may differentiate a user from others when he/she performs search, e.g., the short term search session, the long term search history, user??s click-through history, the geographic location influence, the social influence, etc. With respect to each type of context, we introduce methods to model it and to incorporate it into the existed retrieval model, by which personalization effects can be achieved. Date: Wednesday, 11 September 2013 Time: 10:00am - 12:00noon Venue: Room 3402 lifts 17/18 Committee Members: Prof. Dik-Lun Lee (Supervisor) Dr. Wilfred Ng (Chairperson) Dr. Raymond Wong Dr. Ke Yi **** ALL are Welcome ****