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Tutorial on application-oriented evaluation of recommendation systems

Guy Shani, Asela Gunawardana

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.

שפת פרסום אנגלית
דפים 225-236
כתב עת AI Communications
כרך 26
נושא מספר 2
סטטוס פרסום פורסם - 22.07.2013

Keywords

evaluation
Recommender systems

ASJC Scopus subject areas

Artificial Intelligence
גישה למסמך
10.3233/AIC-130551
קבצים וקישורים אחרים
Link to publication in Scopus