On a Novel Machine Learning Based Approach to Recommender Systems

A new approach for recommender systems design is proposed. The considered system should rely only on the anonymous receipts' data and information about products currently bought by a customer. The preference rating for an arbitrary product is calculated as a classification result of a combined...

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Bibliographic Details
Main Author: Oleg Senko
Format: Article
Language:English
Published: FRUCT 2020-04-01
Series:Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:
Online Access:https://www.fruct.org/publications/acm26/files/Zhu.pdf