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Pyndri: A Python Interface to the Indri Search Engine

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Advances in Information Retrieval (ECIR 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10193))

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Abstract

We introduce pyndri, a Python interface to the Indri search engine. Pyndri allows to access Indri indexes from Python at two levels: (1) dictionary and tokenized document collection, (2) evaluating queries on the index. We hope that with the release of pyndri, we will stimulate reproducible, open and fast-paced IR research.

https://github.com/cvangysel/pyndri.

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Notes

  1. 1.

    https://radimrehurek.com/gensim.

  2. 2.

    http://lemurproject.org/lemur/IndriQueryLanguage.php.

  3. 3.

    https://github.com/cvangysel/pyndri.

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Acknowledgements

This research was supported by the Google Faculty Research Award program and the Bloomberg Research Grant program. All content represents the opinion of the authors, which is not necessarily shared or endorsed by their respective employers and/or sponsors.

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Authors and Affiliations

  1. University of Amsterdam, Amsterdam, The Netherlands

    Christophe Van Gysel, Evangelos Kanoulas & Maarten de Rijke

Authors
  1. Christophe Van Gysel
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  2. Evangelos Kanoulas
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  3. Maarten de Rijke
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Corresponding author

Correspondence to Christophe Van Gysel .

Editor information

Editors and Affiliations

  1. University of Glasgow , Glasgow, United Kingdom

    Joemon M Jose

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

    Claudia Hauff

  3. Middle East Technical University , Ankara, Turkey

    Ismail Sengor Altıngovde

  4. Open University , Milton Keynes, United Kingdom

    Dawei Song

  5. Signal Media , London, United Kingdom

    Dyaa Albakour

  6. Toronto, Canada

    Stuart Watt

  7. JohnTait.net Ltd. and BCS IRSG , Sunderland, United Kingdom

    John Tait

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Van Gysel, C., Kanoulas, E., de Rijke, M. (2017). Pyndri: A Python Interface to the Indri Search Engine. In: Jose, J., et al. Advances in Information Retrieval. ECIR 2017. Lecture Notes in Computer Science(), vol 10193. Springer, Cham. https://doi.org/10.1007/978-3-319-56608-5_74

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  • DOI: https://doi.org/10.1007/978-3-319-56608-5_74

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56607-8

  • Online ISBN: 978-3-319-56608-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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