PISA: Performant indexes and search for academia

Antonio Mallia, Michał Siedlaczek, Joel MacKenzie, Torsten Suel

    Research output: Contribution to journalConference article

    Abstract

    Performant Indexes and Search for Academia (PISA) is an experimental search engine that focuses on efficient implementations of state-of-the-art representations and algorithms for text retrieval. In this work, we outline our effort in creating a replicable search run from PISA for the 2019 Open Source Information Retrieval Replicability Challenge, which encourages the information retrieval community to produce replicable systems through the use of a containerized, Docker-based infrastructure. We also discuss the origins, current functionality, and future direction and challenges for the PISA system.

    Original languageEnglish (US)
    Pages (from-to)50-56
    Number of pages7
    JournalCEUR Workshop Proceedings
    Volume2409
    StatePublished - Jan 1 2019
    Event2019 Open-Source IR Replicability Challenge, OSIRRC 2019 - Paris, France
    Duration: Jul 25 2019 → …

    Keywords

    • Open-source system
    • Replicability
    • Search engine

    ASJC Scopus subject areas

    • Computer Science(all)

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  • Cite this

    Mallia, A., Siedlaczek, M., MacKenzie, J., & Suel, T. (2019). PISA: Performant indexes and search for academia. CEUR Workshop Proceedings, 2409, 50-56.