Design of a recommendation system based on collaborative filtering and machine learning considering personal needs of the user-Reference-Cited by-同舟云学术

Design of a recommendation system based on collaborative filtering and machine learning considering personal needs of the user

Published:2019-08-09 Issue:2 (100) Volume:4 Page:6-28
ISSN:1729-4061
Container-title:Eastern-European Journal of Enterprise Technologies
language:
Short-container-title:EEJET

Author:

Lytvyn Vasyl^ORCID,Vysotska Victoria^ORCID,Shatskykh Viktor^ORCID,Kohut Ihor^ORCID,Petruchenko Oksana^ORCID,Dzyubyk Lyudmyla^ORCID,Bobrivetc Vitaliy^ORCID,Panasyuk Valentyna^ORCID,Sachenko Svitlana^ORCID,Komar Myroslav^ORCID

Publisher

Private Company Technology Center

Subject

Applied Mathematics,Electrical and Electronic Engineering,Management of Technology and Innovation,Industrial and Manufacturing Engineering,Computer Science Applications,Mechanical Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Reference87 articles.

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3. Jones, M. T. (2013). Recommender systems, Part 1. Introduction to approaches and algorithms. Available at: https://www.ibm.com/developerworks/opensource/library/os-recommender1

4. A Survey of Collaborative Filtering Techniques;Su;Advances in Artificial Intelligence,2009

5. Burov, Y., Vysotska, V., Kravets, P. (2019). Ontological approach to plot analysis and modeling. Proceedings of the 3rd International Conference on Computational Linguistics and Intelligent Systems (COLINS-2019). Volume I: Main Conference, 2362, 22–31.

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