COLLABORATIVE FILTERING FOR CREATION OF RECOMMENDATIONS ON BASE OF ORDER DATA
https://doi.org/10.25205/1818-7900-2018-16-2-62-69
Abstract
In the article an opportunity of the collaborative filtering methods application in a process of creating a recommender system on the base of order data of documents from library fund is considered. A comparison experimental analysis of three collaborative filtering methods is provided: item-based, user-based and hybrid method, which is a combination of first two methods.
About the Authors
A. A. Knyazeva
Institute of Computational Technologies SB RAS
Russian Federation
Russian Federation
O. S. Kolobov
Institute of High Current Electronics SB RAS
Russian Federation
Russian Federation
I. Yu. Turchanovsky
Institute of Computational Technologies SB RAS
Russian Federation
Russian Federation
A. M. Fedotov
Institute of Computational Technologies SB RAS
Russian Federation
Russian Federation
References
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Review
For citations:
Knyazeva A.A., Kolobov O.S., Turchanovsky I.Yu., Fedotov A.M. COLLABORATIVE FILTERING FOR CREATION OF RECOMMENDATIONS ON BASE OF ORDER DATA. Vestnik NSU. Series: Information Technologies. 2018;16(2):62-69. (In Russ.) https://doi.org/10.25205/1818-7900-2018-16-2-62-69
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