Evaluation of recommender systems: A multi-criteria decision making approach | ||
| Interdisciplinary Journal of Management Studies | ||
| مقاله 5، دوره 8، شماره 4، 2015، صفحه 589-605 اصل مقاله (354.59 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/ijms.2015.55003 | ||
| نویسندگان | ||
| Babak Sohrabi1؛ Mehdi Toloo2؛ Ali Moeini3؛ Soroosh Nalchigar* 4 | ||
| 1Faculty of Management, University of Tehran | ||
| 2Department of Business Administration, Technical University of Ostrava | ||
| 3School of Engineering, University of Tehran | ||
| 4University of Tehran | ||
| چکیده | ||
| 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. | ||
| کلیدواژهها | ||
| Data Envelopment Analysis؛ Evaluation؛ metrics؛ Multi-Criteria Decision Making؛ Recommender systems | ||
| مراجع | ||
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