ABSTRACT
Lexical query modeling has been the leading paradigm for session search. In this paper, we analyze TREC session query logs and compare the performance of different lexical matching approaches for session search. Naive methods based on term frequency weighing perform on par with specialized session models. In addition, we investigate the viability of lexical query models in the setting of session search. We give important insights into the potential and limitations of lexical query modeling for session search and propose future directions for the field of session search.
- M. Bendersky, D. Metzler, and W. B. Croft. Effective query formulation with multiple information sources. In SIGIR, pages 443--452. ACM, 2012. Google ScholarDigital Library
- P. N. Bennett, R. W. White, W. Chu, S. T. Dumais, P. Bailey, F. Borisyuk, and X. Cui. Modeling the impact of short- and long-term behavior on search personalization. In SIGIR, pages 185--194. ACM, 2012. Google ScholarDigital Library
- B. Carterette, E. Kanoulas, M. M. Hall, and P. D. Clough. Overview of the trec 2014 session track. In TREC, 2014.Google Scholar
- G. V. Cormack, M. D. Smucker, and C. L. Clarke. Efficient and effective spam filtering and re-ranking for large web datasets. Information retrieval, 14(5):441--465, 2011. Google ScholarDigital Library
- D. Donato, F. Bonchi, T. Chi, and Y. Maarek. Do you want to take notes?: identifying research missions in yahoo! search pad. In WWW, pages 321--330. ACM, 2010. Google ScholarDigital Library
- D. Guan, H. Yang, and N. Goharian. Effective structured query formulation for session search. Techn. report, 2012.Google Scholar
- A. Hassan, R. W. White, S. T. Dumais, and Y.-M. Wang. Struggling or exploring?: disambiguating long search sessions. In WSDM, pages 53--62. ACM, 2014. Google ScholarDigital Library
- A. Kotov, P. N. Bennett, R. W. White, S. T. Dumais, and J. Teevan. Modeling and analysis of cross-session search tasks. In SIGIR, pages 5--14. ACM, 2011. Google ScholarDigital Library
- H. Li and J. Xu. Semantic matching in search. Found. & Tr. in Information Retrieval, 7(5):343--469, June 2014. Google ScholarDigital Library
- J. Luo, X. Dong, and H. Yang. Modeling rich interactions in session search - georgetown university at trec 2014 session track. Techn. report, 2014.Google Scholar
- J. Luo, S. Zhang, and H. Yang. Win-win search: Dual-agent stochastic game in session search. In SIGIR, pages 587--596. ACM, 2014. Google ScholarDigital Library
- J. Luo, X. Dong, and H. Yang. Session search by direct policy learning. In ICTIR, pages 261--270. ACM, 2015. Google ScholarDigital Library
- D. Metzler and W. B. Croft. Combining the language model and inference network approaches to retrieval. IPM, 40(5):735--750, 2004. Google ScholarDigital Library
- K. Raman, P. N. Bennett, and K. Collins-Thompson. Toward whole-session relevance: exploring intrinsic diversity in web search. In SIGIR, pages 463--472. ACM, 2013. Google ScholarDigital Library
- TREC. Session Track, 2009--2014.Google Scholar
- H. Yang, D. Guan, and S. Zhang. The query change model: Modeling session search as a markov decision process. TOIS, 33(4): 20:1--20:33, May 2015. Google ScholarDigital Library
Index Terms
- Lexical Query Modeling in Session Search
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