Jaeho Choi
W. Bruce Croft
ABSTRACT
Time information impacts relevance in retrieval for the queries that are sensitive to trends and events. Microblog services particularly focused on recent news and events so dealing with the temporal aspects of microblogs is essential for providing effective retrieval. Recent work on time-based retrieval has shown that selecting the relevant time period for query expansion is promising. In this paper, we suggest a method for selecting the time period for query expansion based on a user behavior (i.e., retweets) that can be collected easily. We then use these time periods for query expansion in a pseudo-relevance feedback setting. More specifically, we use the difference in the temporal distribution between the top retrieved documents and retweets. The experimental results based on the TREC Microblog collection show that our method for selecting periods for query expansion improves retrieval performance compared to another approach.
- T. Brants and A. Franz. Web 1T 5-gram Version 1, 2006.Google Scholar
- W. Dakka, L. Gravano, and P. Ipeirotis. Answering general time-sensitive queries. In CIKM'08, 2008. Google ScholarDigital Library
- F. Diaz and R. Jones. Using temporal profiles of queries for precision prediction. In SIGIR'04, 2004. Google ScholarDigital Library
- M. Efron and G. Golovchinsky. Estimation Methods for Ranking Recent Information. In SIGIR'11, 2011. Google ScholarDigital Library
- L. Hong, O. Dan, and B. D. Davison. Predicting popular messages in twitter. In WWW'11, 2011. Google ScholarDigital Library
- R. Jones and F. Diaz. Temporal profiles of queries. ACM Transactions on Information Systems, 25(3):14, 2007. Google ScholarDigital Library
- M. Keikha, S. Gerani, F. Crestani, Time-based Relevance Models. In SIGIR'11, 2011. Google ScholarDigital Library
- H. Kwak, C. Lee, H. Park, and S. Moon. What is Twitter, a Social Network or a News Media?. In WWW'10, 2010. Google ScholarDigital Library
- V. Lavrenko, W. B. Croft. Relevance-based language models. In SIGIR'01, 2001. Google ScholarDigital Library
- X. Li and W. B. Croft. Time-based language models. In CIKM'03, 2003. Google ScholarDigital Library
- K. Massoudi, E. Tsagkias, M. de Rijke, and W. Weerkamp. Incorporating query expansion and quality indicators in searching microblog posts. In ECIR'11, 2011. Google ScholarDigital Library
- D. Metzler, C. Cai, E. Hovy, Structured Event Retrieval over Microblog Archives, NAACL-HLT '12, 2012. Google ScholarDigital Library
- D. Metzler, W. B. Croft. A Markov random field model for term dependencies. In SIGIR'05, 2005. Google ScholarDigital Library
- N. Naveed, T. Gottron, J. Kunegis, and A. Che Alhadi. Searching microblogs: Coping with sparsity and document quality. In CIKM'11, 2011. Google ScholarDigital Library
- M-H. Peetz, E. Meij, M. de Rijke, W. Weerkamp, Adaptive Temporal Query Modeling, In ECIR'12, 2012. Google ScholarDigital Library
- H.K. Peng, J. Zhu, D. Piao, R. Yan and Y. Zhang. Retweet Modeling Using Conditional Random Fields. ICDM Workshops'11, 2011. Google ScholarDigital Library
- M. D. Smucker, J. Allan, B. Carterette, A Comparison of Statistical Significance Tests for Information Retrieval Evaluation, In CIKM'07, 2007. Google ScholarDigital Library
- J. Teevan, D. Ramage, and M. Morris. #Twittersearch: A comparison of microblog search and web search. In WSDM'11, 2011. Google ScholarDigital Library
Index Terms
- Temporal models for microblogs
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