Tutorial on application-oriented evaluation of recommendation systems

Guy Shani; Asela Gunawardana

doi:10.3233/AIC-130551

Tutorial on application-oriented evaluation of recommendation systems

Guy Shani
, Asela Gunawardana

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	225-236
Number of pages	12
Journal	AI Communications
Volume	26
Issue number	2
DOIs	https://doi.org/10.3233/AIC-130551
State	Published - 22 Jul 2013

Keywords

Recommender systems
evaluation

ASJC Scopus subject areas

Artificial Intelligence

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10.3233/AIC-130551

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AB - 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.

KW - Recommender systems

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JO - AI Communications

JF - AI Communications

IS - 2

ER -

Tutorial on application-oriented evaluation of recommendation systems

Abstract

Keywords

ASJC Scopus subject areas

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