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In this paper, we introduce our experiments carried out at TREC 2012 session track. Based on the work of our group in TREC 2011 session track, we propose several methods to improve the retrieval performance by considering the user behavior information over the session, which includes use query expansion based on meta data, query expansion based on click order, optimization based on history ranked lists and so on. The results show that some methods can really improve the search performance and some methods need to be optimized.dblp:conf/trec/ZhangWWL12 fatcat:2zmyqrjp4vanne2fp7ky7loeg4