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Combined recommender algorithms for enterprises
A. E. Kurennykh, V. A. Sudakov
Abstract:
The authors describe an approach to the implementation of combined algorithms for recommender systems considered with the example of a separate module of the information system of an enterprise. We propose four groups of criteria, which, using various approaches, allows one to explore and evaluate objects in relation to the problem of developing recommendations. During a research database schema required for the implementation of the algorithm has been developed, as well as the software.
Keywords:
development of recommendations, recommender systems, combined
recommender algorithms.
Citation:
A. E. Kurennykh, V. A. Sudakov, “Combined recommender algorithms for enterprises”, Keldysh Institute preprints, 2021, 060, 12 pp.
Linking options:
https://www.mathnet.ru/eng/ipmp2977 https://www.mathnet.ru/eng/ipmp/y2021/p60
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Statistics & downloads: |
Abstract page: | 53 | Full-text PDF : | 22 | References: | 12 |
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