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Article type: Research Article
Authors: Shani, Guy; | Gunawardana, Asela
Affiliations: Information System Engineering, Ben Gurion University, Beer-Sheva, Israel. E-mail: shanigu@bgu.ac.il | Microsoft Research, Redmond, WA, USA. E-mail: aselag@microsoft.com
Note: [] Corresponding author: Guy Shani. E-mail: shanigu@bgu.ac.il
Abstract: Recommendation systems are now widely used in many commercial applications. This tutorial focuses on the evaluation of such systems, from an application-oriented view. The tutorial recommends best practices, suggests a protocol for the evaluation process, and reviews a set of metrics that can be evaluated. The practices in this paper are motivated by similar procedures in nearby areas, such as machine learning, and information retrieval.
Keywords: Recommender systems, evaluation
DOI: 10.3233/AIC-130551
Journal: AI Communications, vol. 26, no. 2, pp. 225-236, 2013
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