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i-TEL-u: A Query Suggestion Tool for Integrating Heterogeneous Contexts in a Digital Library

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6273))

Abstract

This paper presents the design, implementation and evaluation of a query suggestion tool (named i-TEL-u) that allows for the management and the exploitation of different contexts in an integrated way within the same search interface for accessing the contents of The European Library portal. i-TEL-u allows users to seamlessly move from one context to another according to their information needs and to the way these needs evolve during the search session. The aim of this tool is to improve the search functionalities of the portal, attract many users and give them easy and effective access.

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References

  1. Efthimiadis, E.: Query expansion. In: Williams, M. (ed.) Annual Review of Information Science and Technology (ARIST), vol. 31, pp. 121–185. Information Today for the American Society for Information Science, Medford (1996)

    Google Scholar 

  2. Lalmas, M., Ruthven, I.: A survey on the use of relevance feedback for information access systems. Knowledge Engineering Review 18(1) (2003)

    Google Scholar 

  3. Cao, H., Jiang, D., Pei, J., He, Q., Liao, Z., Chen, E., Li, H.: Context-aware query suggestion by mining click-through and session data. In: KDD, pp. 875–883. ACM, New York (2008)

    Google Scholar 

  4. Ma, H., Yang, H., King, I., Lyu, M.R.: Learning latent semantic relations from clickthrough data for query suggestion. In: CIKM, pp. 709–718. ACM, New York (2008)

    Chapter  Google Scholar 

  5. Mei, Q., Zhou, D., Church, K.: Query suggestion using hitting time. In: CIKM, pp. 469–478. ACM, New York (2008)

    Chapter  Google Scholar 

  6. Gao, W., Niu, C., Nie, J.Y., Zhou, M., Hu, J., Wong, K.F., Hon, H.W.: Cross-lingual query suggestion using query logs of different languages. In: SIGIR, pp. 463–470. ACM, New York (2007)

    Google Scholar 

  7. Huang, C.K., Chien, L.F., Oyang, Y.J.: Relevant term suggestion in interactive web search based on contextual information in query session logs. JASIST 54(7), 638–649 (2003)

    Article  Google Scholar 

  8. White, R.W., Marchionini, G.: Examining the effectiveness of real-time query expansion. Inf. Process. Manage. 43(3), 685–704 (2007)

    Article  Google Scholar 

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© 2010 Springer-Verlag Berlin Heidelberg

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Agosti, M., Cisco, D., Di Nunzio, G.M., Masiero, I., Melucci, M. (2010). i-TEL-u: A Query Suggestion Tool for Integrating Heterogeneous Contexts in a Digital Library. In: Lalmas, M., Jose, J., Rauber, A., Sebastiani, F., Frommholz, I. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2010. Lecture Notes in Computer Science, vol 6273. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15464-5_41

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  • DOI: https://doi.org/10.1007/978-3-642-15464-5_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15463-8

  • Online ISBN: 978-3-642-15464-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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