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	Exploiting real-time information retrieval in the microblogosphere
	Liang, Feng ; Qiang, Runwei ; Yang, Jianwu
	2012
英文摘要	Information seeking behavior in microblogging environments such as Twitter differs from traditional web search. The best performing microblog retrieval techniques attempt to utilize both semantic and temporal aspects of documents. In this paper, we present an effective approach, including the query modeling, the document modeling and the temporal re-ranking, to discover the most recent but relevant information to the query. For the query modeling, we introduce a two-stage pseudo-relevance feedback query expansion to overcome the severe vocabulary-mismatch problem of short message retrieval in microblog. For the document modeling, we propose two ways to expand document with the help of the shortened URL. For the temporal re-ranking, we suggest several methods to evaluate the temporal aspects of documents. Experimental results demonstrate that our approach obtains significant improvements compared with baseline systems. Specifically, the proposed system gives 26.37% and 9.94% further increases in P@30 and MAP over the best performing result on highrel in the TREC'11 Real-Time Search Task. ? 2012 ACM.; EI; 0
语种	英语
DOI标识	10.1145/2232817.2232867
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/321412]
专题	计算机科学技术研究所
推荐引用方式 GB/T 7714	Liang, Feng,Qiang, Runwei,Yang, Jianwu. Exploiting real-time information retrieval in the microblogosphere. 2012-01-01.

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