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Tàtari: An Open Source Software Tool for the Development and Evaluation of Recommender System Algorithms

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3214))

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Abstract

Recommender systems give recommendations on items to users. They are widely used in e-commerce systems to locate products that could be of interest to users. Over the years various systems have been developed with researchers developing new algorithms or enhancing existing ones. This paper describes Tàtari, an open source software tool developed at the University of Auckland that enables researchers to develop and test recommender algorithms and compare them against others to analyze results. Tàtari can also be used as an online recommender system to help users locate items of interest. In this paper we outline the motivation, design, architecture, implementation and operation of Tàtari. The paper concludes by describing possible future developments.

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Author information

Authors and Affiliations

  1. Dept. of Computer Science, University of Auckland, New Zealand

    Halah Hassan & Ian Watson

Authors
  1. Halah Hassan
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  2. Ian Watson
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Editor information

Editors and Affiliations

  1. KES International, 2nd Floor, 145-157 St John Street, EC1V 4PY, London, United Kingdom

    Mircea Gh. Negoita

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, Mawson Lakes, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2004 Springer-Verlag Berlin Heidelberg

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Hassan, H., Watson, I. (2004). Tàtari: An Open Source Software Tool for the Development and Evaluation of Recommender System Algorithms. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2004. Lecture Notes in Computer Science(), vol 3214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30133-2_6

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  • DOI: https://doi.org/10.1007/978-3-540-30133-2_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23206-3

  • Online ISBN: 978-3-540-30133-2

  • eBook Packages: Springer Book Archive

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