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Jitter Search: A News-Based Real-Time Twitter Search Interface

  • Flávio MartinsEmail author
  • João Magalhães
  • Jamie Callan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9626)

Abstract

In this demo we show how we can enhance real-time microblog search by monitoring news sources on Twitter. We improve retrieval through query expansion using pseudo-relevance feedback. However, instead of doing feedback on the original corpus we use a separate Twitter news index. This allows the system to find additional terms associated with the original query to find more “interesting” posts.

Notes

Acknowledgments

This project was supported by FCT/MEC under the projects: GoLocal CMUP-ERI/TIC/0046/2014 and NOVA LINCS PEst UID/CEC/04516/2013.

References

  1. 1.
    Martins, F., Magalhães, J., Callan, J.: Barbara made the news: mining the behavior of crowds for time-aware learning to rank. In: Proceedings of the WSDM 2016. ACM, San Francisco (2016)Google Scholar
  2. 2.
    Shokouhi, M.: Central-rank-based collection selection in uncooperative distributed information retrieval. In: Amati, G., Carpineto, C., Romano, G. (eds.) ECiR 2007. LNCS, vol. 4425, pp. 160–172. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  3. 3.
    Si, L., Callan, J.: Relevant document distribution estimation method for resource selection. In: Proceedings of SIGIR 2003, pp. 298–305. ACM, New York (2003)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Flávio Martins
    • 1
    Email author
  • João Magalhães
    • 1
  • Jamie Callan
    • 2
  1. 1.NOVA LINCS, DI, Faculty of Science and TechnologyUniversidade NOVA de LisboaCaparicaPortugal
  2. 2.School of Computer Science, LTICarnegie Mellon UniversityPittsburghUSA

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