Modern Approaches to Building Recommender Systems for Online Stores

Modern Approaches to Building Recommender Systems for Online Stores

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...

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Bibliographic Details
Main Authors: Onokoy Lyudmila, Lavendels Jurijs
Format: Article
Language:English
Published: Sciendo 2019-05-01
Series:Applied Computer Systems
Subjects:
collaborative filtering
combined co-filtering
content filtering
typical recommender system
Online Access:https://doi.org/10.2478/acss-2019-0003
id doaj-a67e94e2694e4efb917060af5fc5f6a0
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spelling doaj-a67e94e2694e4efb917060af5fc5f6a02021-09-06T19:41:00ZengSciendoApplied Computer Systems2255-86912019-05-01241182410.2478/acss-2019-0003acss-2019-0003Modern Approaches to Building Recommender Systems for Online StoresOnokoy Lyudmila0Lavendels Jurijs1Financial University under the Government of the Russian Federation, Moscow, RussiaRiga Technical University, Riga, LatviaThe 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.https://doi.org/10.2478/acss-2019-0003collaborative filteringcombined co-filteringcontent filteringtypical recommender system
collection DOAJ
language English
format Article
sources DOAJ
author Onokoy Lyudmila
Lavendels Jurijs
spellingShingle Onokoy Lyudmila
Lavendels Jurijs
Modern Approaches to Building Recommender Systems for Online Stores
Applied Computer Systems
collaborative filtering
combined co-filtering
content filtering
typical recommender system
author_facet Onokoy Lyudmila
Lavendels Jurijs
author_sort Onokoy Lyudmila
title Modern Approaches to Building Recommender Systems for Online Stores
title_short Modern Approaches to Building Recommender Systems for Online Stores
title_full Modern Approaches to Building Recommender Systems for Online Stores
title_fullStr Modern Approaches to Building Recommender Systems for Online Stores
title_full_unstemmed Modern Approaches to Building Recommender Systems for Online Stores
title_sort modern approaches to building recommender systems for online stores
publisher Sciendo
series Applied Computer Systems
issn 2255-8691
publishDate 2019-05-01
description 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.
topic collaborative filtering
combined co-filtering
content filtering
typical recommender system
url https://doi.org/10.2478/acss-2019-0003
work_keys_str_mv AT onokoylyudmila modernapproachestobuildingrecommendersystemsforonlinestores
AT lavendelsjurijs modernapproachestobuildingrecommendersystemsforonlinestores
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