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Designing Mobile Search Interface with Query Term Extraction

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2011)

Abstract

Web searching with mobile phones is still not as easy as with Personal Computers (PCs). To solve the problem, we proposed a one-touch search application using first query term extraction from browsed Web pages [1]. This paper reports on a preliminary experiment that we conducted with 50 subjects in order to design the interface of the application. The results of the experiment indicate that although providing query term candidates to users reduces the cost of query input, the complexity of the query input process poses a problem.

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References

  1. Okamoto, M., Watanabe, N., Kikuchi, M., Iida, T., Sasaki, K., Horiuchi, K., Yamasaki, T., Omura, S., Hattori, M.: First Query Term Extraction from Current Webpage for Mobile Applications. In: Proc. of MUM 2010, pp. 19:1-19:9. ACM Press, New York (2010)

    Google Scholar 

  2. Kamvar, M., Kellar, M., Patel, R., Xu, Y.: Computers and iPhones and Mobile Phones, Oh My!: a Logs-Based Comparison of Search Users on Different Devices. In: Proc. of WWW 2009, pp. 801–810. ACM Press, New York (2009)

    Google Scholar 

  3. Rahurkar, M., Cucerzan, S.: Predicting When Browsing Context is Relevant to Search. In: Proc. of SIGIR 2008, pp. 841–842. ACM Press, New York (2008)

    Google Scholar 

  4. Chirita, P.A., Firan, C.S., Nejdl, W.: Personalized Query Expansion for the Web. In: Proc. of SIGIR 2007, pp. 7–14. ACM Press, New York (2007)

    Google Scholar 

  5. Cao, H., Hu, D.H., Shen, D., Jiang, D., Sun, J.T., Chen, E., Yang, Q.: Context-aware query classification. In: Proc. SIGIR 2009, pp. 3–10. ACM Press, New York (2009)

    Google Scholar 

  6. Yamamoto, T., Nakamura, S., Tanaka, K.: TermCloud for Enhancing Web Search. In: Vossen, G., Long, D.D.E., Yu, J.X. (eds.) WISE 2009. LNCS, vol. 5802, pp. 159–166. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  7. OpenService Accelerators Developer Guide, http://msdn.microsoft.com/en-us/library/cc289775VS.85.aspx

  8. Hart, P.E., Grahama, J.: Query-Free Information Retrieval. IEEE Expert 12(5), 32–37 (1997)

    Article  Google Scholar 

  9. Henzinger, M., Chang, B.W., Milch, B., Brin, S.: Query-Free News Search. In: Proc. of WWW 2003, pp. 1–10. ACM Press, New York (2003)

    Google Scholar 

  10. Bellotti, V., Begole, B., Chi, E.H., Ducheneaut, N., Fang, J., Isaacs, E., King, T., Newman, M.W., Partridge, K., Price, B., Rasmussen, P., Roberts, M., Schiano, D.J., Walendowski, A.: Activity-Based Serendipitous Recommendations with the Magitti Mobile Leisure Guide. In: Proc. of CHI 2008, pp. 1157–1166. ACM Press, New York (2008)

    Google Scholar 

  11. Blanco, Y., Pazos, J., Gil, A., Ramos, M., Fernandez, A., Diaz, R.P., Lopez, M., Barragans, B.: AVATAR: An Approach based on Semantic Reasoning to Recommend Personalized TV Programs. In: Proc. of WWW 2005, pp. 1078–1079. ACM Press, New York (2005)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Watanabe, N. et al. (2011). Designing Mobile Search Interface with Query Term Extraction. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23854-3_8

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  • DOI: https://doi.org/10.1007/978-3-642-23854-3_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23853-6

  • Online ISBN: 978-3-642-23854-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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