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KIAM Preprint № 60, Moscow, 2021
Authors: Kurennykh A.E., Sudakov V.A.
Combined recommender algorithms for enterprises
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
Publication language: russian,  pages: 12
Research direction:
Programming, parallel computing, multimedia
Russian source text:
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About authors:
  • Kurennykh Alexey Evgenevich,  orcid.org/0000-0001-5200-1775,  Moscow Aviation Institute (National Research University)
  • Sudakov Vladimir Anatolievich,  orcid.org/0000-0002-1658-1941KIAM RAS