ABSTRACT
With the increasing number of multilingual resources on the Internet, cross-language information retrieval has become an important research topic. In cultures where people speak both Chinese and English, using mixed language in oral speaking and web searching is a common phenomenon. While queries are the key element of information retrieval process, mixed-language queries have not yet been adequately studied. This study use query log analysis to examine the query reformulation patterns regarding Chinese-English mixed language queries, and how search intents may affect the query reformulation types users employ. The results can inform IR system designers to enhance cross-language controlled vocabularies and develop discovery platforms for multilingual content, and improve search engines to provide users with more relevant, personalized search results. The findings could also be expanded to other language combinations that would improve search engine designs.
- Auer, P. 1998. Code-Switching in conversation: Language, interaction, and identify. Routledge, London.Google Scholar
- Chau, M., Fang, X., and Yang, C. C. 2007. Web searching in Chinese: A study of a search engine in Hong Kong. J Am Soc Inf Sci Technol., 58, 7, 1044--1054. Google ScholarDigital Library
- Rieh, S.Y. and Xie, H. 2006. Analysis of multiple query reformulations on the web: the interactive information retrieval context. Inf Process Manag., 42, 3, 751--768. Google ScholarDigital Library
- Lau, T. and Horvitz, E. 1999. Patterns of search: analyzing and modeling Web query refinement. In User Modeling '99, 119--128. Google ScholarDigital Library
- He, D., Göker, A., and Harper, D.J. 2002. Combining evidence for automatic web session identification. Inf Process Manag., 38, 5, 727--742. Google ScholarDigital Library
- Jansen, B. J., Spink, A., Blakely, C., and Koshman, S. 2007. Defining a session on Web search engines: Research Articles. J Am Soc Inf Sci Technol., 58, 6, 862--871. Google ScholarDigital Library
- Bruza, P., and Dennis, S. 1997. Query Reformulation on the Internet: Empirical Data and the Hyperindex Search Engine. In RIAO, 97, 488--499. Google ScholarDigital Library
- Guo, J., Xu, G., Li, H., and Cheng, X. 2008. A unified and discriminative model for query refinement. In SIGIR '08, 379--386. Google ScholarDigital Library
- Huang, J., and Efthimiadis, E. N. 2009. Analyzing and evaluating query reformulation strategies in web search logs. In CIKM'09, 77--86. Google ScholarDigital Library
- Liu, C., Gwizdka, J., Liu, J., Xu, T., and Belkin, N. J. 2010. Analysis and evaluation of query reformulations in different task types. In ASIST'10, 47, 1, 1--9. Google ScholarDigital Library
- Broder, A. 2002. A taxonomy of web search. SIGIR Forum, 36, 2, 3--10. Google ScholarDigital Library
- Jansen, B. J., Booth, D. L., and Spink, A. 2008. Determining the informational, navigational, and transactional intent of web queries. Information Processing and Management, 44, 3, 1251--1266. Google ScholarDigital Library
- Rose, D., and Levinson, D. 2004. Understanding user goals in web search. In S. Feldman, M. Uretsky, M. Najork, & C. Wills (Eds.), Proceedings of the 13th International Conference on World Wide Web, 13--19. New York: ACM Press. Google ScholarDigital Library
- Lewandowski, D. 2006. Query types and search topics of German web search engine users. Information Services and Use, 26, 4, 261--269.Google ScholarDigital Library
- Lewandowski, D., Drechsler, J., and Mach, S. 2012. Deriving query intents from web search engine queries. Journal of the American Society for Information Science and Technology, 63, 9, 1773--1788. Google ScholarDigital Library
- Chau, M., Fang, X., and Yang, C. C. 2007. Web searching in Chinese: A study of a search engine in Hong Kong. J Am Soc Inf Sci Technol., 58, 7, 1044--1054. Google ScholarDigital Library
- Chau, M., Lu, Y., Fang, X., and Yang, C. C. 2009. Characteristics of character usage in Chinese web searching. Inf Process Manag., 45, 1, 115--130. Google ScholarDigital Library
- Lu, Y., Chau, M., Fang, X., and Yang, C. C. 2006. Analysis of the bilingual queries in a Chinese web search engine. Retrieved June 1, 2014 from http://www.business.hku.hk/~mchau/papers/BilingualQueries_WEB.pdf.Google Scholar
- Fu, H., and Wu, S. 2015. Studying Chinese-English mixed language queries from the user perspectives. In JCDL'15, 247--248. Google ScholarDigital Library
- Fu, H., and Wu, S. 2014. Analyzing Chinese-English mixed language queries in a web search engine. In ASIST'14, 51, 1, 1--5.Google Scholar
Index Terms
- Query Reformulation Patterns of Mixed Language Queries in Different Search Intents
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