Huge amounts of search and browse log data has been accumulated in various search engines. Such massive search/browse log data, on the one hand, provides great opportunities to mine the wisdom of crowds and improve Web search as well as online advertisement. On the other hand, designing effective and efficient algorithms and tools to clean, model, and process large scale log data presents great challenges. In this tutorial, we give a systematic survey on the applications, challenges, fundamental principles and state-ofthe-art methods of mining large scale search and browse log