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MuZeeker: Adapting a Music Search Engine for Mobile Phones

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Mobile Multimedia Processing (WMMP 2008)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5960))

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We describe MuZeeker, a search engine with domain knowledge based on Wikipedia. MuZeeker enables the user to refine a search in multiple steps by means of category selection. In the present version we focus on multimedia search related to music and we present two prototype search applications (web-based and mobile) and discuss the issues involved in adapting the search engine for mobile phones. A category based filtering approach enables the user to refine a search through relevance feedback by category selection instead of typing additional text, which is hypothesized to be an advantage in the mobile MuZeeker application. We report from two usability experiments using the think aloud protocol, in which N=20 participants performed tasks using MuZeeker and a customized Google search engine. In both experiments web-based and mobile user interfaces were used. The experiment shows that participants are capable of solving tasks slightly better using MuZeeker, while the "inexperienced" MuZeeker users perform slightly slower than experienced Google users. This was found in both the web-based and the mobile applications. It was found that task performance in the mobile search applications (MuZeeker and Google) was 2—2.5 times lower than the corresponding web-based search applications (MuZeeker and Google).

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  1. Kamvar, M., Baluja, S.: Deciphering Trends in Mobile Search. IEEE Computer 40(8), 58–62 (2007)

    Article  Google Scholar 

  2. Sigurdsson, M., Halling, S.C.: A topic-based search engine. Technical University of Denmark, IMM-Thesis-2007-91 (2007),

  3. Wikipedia,

  4. Sebastiani, F.: Machine learning in automated text categorization. ACM Comput. Surv. 34(1), 1–47 (2002)

    Article  Google Scholar 

  5. Baeza-Yates, R., Ribeiro-Neto, B.: Modern Information Retrieval. Addison-Wesley, Reading (1999)

    Google Scholar 

  6. Frakes, W.B., Baeza-Yates, R.: Information Retrieval: Data Structures and Algorithms. Prentice Hall, Englewood Cliffs (1992)

    Google Scholar 

  7. Zobel, J., Moffat, A.: Inverted files for text search engines. ACM Comp. Surv. 38(2), 6 (2006)

    Article  Google Scholar 

  8. Madsen, R.E., Sigurdsson, S., Hansen, L.K., Larsen, J.: Pruning the vocabulary for better context recognition. In: Proceedings of the IEEE International Joint Conference on Neural Networks, vol. 2, pp. 1439–1444 (2004)

    Google Scholar 

  9. Giles, J.: Internet encyclopedias go head to head. Nature 438, 900–901 (2005)

    Article  Google Scholar 

  10. Halling, S., Sigurðsson, M., Larsen, J.E., Knudsen, S., Hansen, L.K.: MuZeeker: a domain specific Wikipedia-based search engine. In: Proceedings of the First International Workshop on Mobile Multimedia Processing (WMMP2008), Florida (December 2008)

    Google Scholar 

  11. Cucerzan, S.: Large-Scale Named Entity Disambiguation Based on Wikipedia Data. In: Proceedings of EMNLP-CoNLL 2007, pp. 708–716 (2007)

    Google Scholar 

  12. PowerSet,

  13. Milne, D.N., Witten, I.H., Nichols, D.M.: A knowledge-based search engine powered by wikipedia. In: CIKM 2007: Proceedings of the sixteenth ACM Conference on information and knowledge management, pp. 445–454 (2007)

    Google Scholar 

  14. Wikiwix,

  15. Exalead,

  16. MuZeeker search engine website,

  17. Widgets: Nokia Web Runtime (WRT) platform,

  18. Google Custom Search Engine,

  19. Boren, M.T., Ramey, J.: Thinking Aloud: Reconciling Theory and Practice. IEEE Transactions on Professional Communication 43(3), 261–278 (2000)

    Article  Google Scholar 

  20. Chin, J.P., Diehl, V.A., Norman, K.L.: Development of an instrument measuring user satisfaction of the human-computer interface. In: CHI 1988: Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 213–218 (1988)

    Google Scholar 

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Larsen, J.E., Halling, S., Sigurðsson, M., Hansen, L.K. (2010). MuZeeker: Adapting a Music Search Engine for Mobile Phones. In: Jiang, X., Ma, M.Y., Chen, C.W. (eds) Mobile Multimedia Processing. WMMP 2008. Lecture Notes in Computer Science, vol 5960. Springer, Berlin, Heidelberg.

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