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Revision with unchanged content. An often stated problem in the state-of-the-art web search is its lack of user adaptation, as all users are presented with the same search results for a given query string. The effectiveness of a personalization of web search shows high variance in performance depending on the query, the user and the search context. To this end, carefully choosing the right personalization strategy in a context sensitive manner is critical for an improvement of search results. In this book, we first introduce some fundamentals of the general information retrieval process as well as incorporating relevance feedback information. We also present a brief summary of current personalization approaches followed by the presentation of a general framework that dynamically adapts the query-result ranking to the different information needs in order to improve the search experience for the individual user. This book is intended to act as a focal point for researchers and practitioners whose work is related to web information seeking and interaction, and with a precise focus on search personalization.

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Ph.D. Student:Field: Information Retrieval, at Max-Planckinstitute for computer science.

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