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Recommenders benchmark framework

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Scopus citations

    Abstract

    In this demo we present a recommender benchmark framework that serves as an infrastructure for comparing and examining the performance and feasibility of different recommender algorithms on various datasets with a variety of measures. The extendable infrastructure aims to provide easy plugging of novel recommendation-algorithms, datasets and compare their performance using visual tools and metrics with other algorithms in the benchmark. It also aims at generating a WEKA-type workbench [1] for the recommender systems field to enable usage and application of common recommender systems (RS) algorithms for research and practice. The demo movie is available at: http://www.youtube.com/ watch?v=fsDITf6s0WY.

    Original languageEnglish
    Title of host publicationRecSys'11 - Proceedings of the 5th ACM Conference on Recommender Systems
    PublisherAssociation for Computing Machinery
    Pages353-354
    Number of pages2
    ISBN (Print)9781450306836
    DOIs
    StatePublished - 23 Oct 2011
    Event5th ACM Conference on Recommender Systems, RecSys 2011 - Chicago, IL, United States
    Duration: 23 Oct 201127 Oct 2011

    Publication series

    NameRecSys'11 - Proceedings of the 5th ACM Conference on Recommender Systems

    Conference

    Conference5th ACM Conference on Recommender Systems, RecSys 2011
    Country/TerritoryUnited States
    CityChicago, IL
    Period23/10/1127/10/11

    Keywords

    • benchmark
    • dataset characteristics.
    • datasets
    • evaluators
    • metrics
    • recommendation engines

    ASJC Scopus subject areas

    • Computer Graphics and Computer-Aided Design
    • Information Systems

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