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

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Advances in Information Retrieval (ECIR 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9626))

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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.

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Notes

  1. 1.

    https://lucene.apache.org.

References

  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)

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  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)

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  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)

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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.

Author information

Authors and Affiliations

  1. NOVA LINCS, DI, Faculty of Science and Technology, Universidade NOVA de Lisboa, Caparica, Portugal

    Flávio Martins & João Magalhães

  2. School of Computer Science, LTI, Carnegie Mellon University, Pittsburgh, USA

    Jamie Callan

Authors
  1. Flávio Martins
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  2. João Magalhães
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  3. Jamie Callan
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Corresponding author

Correspondence to Flávio Martins .

Editor information

Editors and Affiliations

  1. Department of Information Engineering, University of Padua, Padova, Italy

    Nicola Ferro

  2. Faculty of Informatics, University of Lugano (USI), Lugano, Switzerland

    Fabio Crestani

  3. Department of Computer Science, Katholieke Universiteit Leuven, Heverlee, Belgium

    Marie-Francine Moens

  4. Systèmes d’informations, Big Data et Recherche d’Information, Institut de Recherche en Informatique de Toulouse IRIT/équipe SIG, Toulouse Cedex 04, France

    Josiane Mothe

  5. Yahoo! Labs London, London, UK

    Fabrizio Silvestri

  6. Department of Information Engineering, University of Padua, Padova, Italy

    Giorgio Maria Di Nunzio

  7. TU Delft - EWI/ST/WIS, Delft, The Netherlands

    Claudia Hauff

  8. Department of Information Engineering, University of Padua, Padova, Italy

    Gianmaria Silvello

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© 2016 Springer International Publishing Switzerland

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Martins, F., Magalhães, J., Callan, J. (2016). Jitter Search: A News-Based Real-Time Twitter Search Interface. In: Ferro, N., et al. Advances in Information Retrieval. ECIR 2016. Lecture Notes in Computer Science(), vol 9626. Springer, Cham. https://doi.org/10.1007/978-3-319-30671-1_77

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  • DOI: https://doi.org/10.1007/978-3-319-30671-1_77

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-30670-4

  • Online ISBN: 978-3-319-30671-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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