Modern Approaches to Building Recommender Systems for Online Stores

2019
Lyudmila Onokoy, Jurijs Lavendels

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.

Atslēgas vārdi
Collaborative filtering, combined co-filtering, content filtering, typical recommender system.
DOI
10.2478/acss-2019-0003
Hipersaite
https://content.sciendo.com/view/journals/acss/24/1/acss.24.issue-1.xml

Onokoy, L., Lavendels, J. Modern Approaches to Building Recommender Systems for Online Stores. Applied Computer Systems, 2019, Vol.24, No.1, 18.-24.lpp. ISSN 2255-8683. e-ISSN 2255-8691. Pieejams: doi:10.2478/acss-2019-0003

Publikācijas valoda
English (en)