Tutorial on application-oriented evaluation of recommendation systems

Guy Shani, Asela Gunawardana

Research output: Contribution to journalArticlepeer-review

15 Scopus citations


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.

Original languageEnglish
Pages (from-to)225-236
Number of pages12
JournalAI Communications
Issue number2
StatePublished - 22 Jul 2013


  • Recommender systems
  • evaluation


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