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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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
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