期刊论文详细信息
Applied Computer Systems | |
Modern Approaches to Building Recommender Systems for Online Stores | |
Onokoy Lyudmila1  Lavendels Jurijs2  | |
[1] Financial University under the Government of the Russian Federation, Moscow, Russia;Riga Technical University, Riga, Latvia; | |
关键词: collaborative filtering; combined co-filtering; content filtering; typical recommender system; | |
DOI : 10.2478/acss-2019-0003 | |
来源: DOAJ |
【 摘 要 】
The article presents current approaches to solving the problem of building recommender systems designed to intellectualize the user interface of online stores. Much attention is paid to modern methods of building recommender systems, analysing their strengths and weaknesses. Of greatest interest are the criteria for selecting effective methods for specific online stores and the authors’ concept of a typical recommender system of electronic commerce.
【 授权许可】
Unknown