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ارزیابی سیستم های پیشنهاددهنده با بهره گیری از تکنیک های تصمیم گیری چند معیاره
- Publication Year :
- 2015
- Publisher :
- University of Tehran, College of Farabi, 2015.
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Abstract
- The evaluation and selection of recommender systems is a difficult decision making process. This difficulty is partially due to the large diversity of published evaluation criteria in addition to lack of standardized methods of evaluation. As such, a systematic methodology is needed that explicitly considers multiple, possibly conflicting metrics and assists decision makers to evaluate and find the best recommender system among a given set of alternatives. This paper introduces Multi-Criteria Decision Making (MCDM) approach for evaluation of recommender systems. In particular, this paper proposes the use of Data Envelopment Analysis (DEA) approach, as a sub-category of MCDM, in order to solve this problem. Various DEA models are introduced and their applicability are illustrated. A real case of evaluation of recommender systems is used to demonstrate the approach. Web of Science 8 4 605 589
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.od......1195..2c94d4d6a0c192a8c0950b9a36e5ce83