2021
DOI: 10.14254/2071-8330.2021/14-4/11
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A hybrid user-item-based collaborative filtering model for e-commerce recommendations

Abstract: The COVID-19 pandemic deepened understanding of e-commerce as an extremely promising sphere. Nowadays, even small businesses are widely using eshops and e-markets. Thus, small and medium-sized e-commerce companies need powerful, flexible recommender systems, which do not require significant

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Cited by 6 publications
(4 citation statements)
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“…At the same time, the combination of several methods allows you to eliminate or reduce the impact of many problems on the operation of the system. That is why today the issue of development and use of hybrid RSs is gaining the greatest relevance (Çano and Morisio, 2017;Chornous et al, 2021).…”
Section: Hybridization Of Recommender Systems In E-commerce Based On ...mentioning
confidence: 99%
“…At the same time, the combination of several methods allows you to eliminate or reduce the impact of many problems on the operation of the system. That is why today the issue of development and use of hybrid RSs is gaining the greatest relevance (Çano and Morisio, 2017;Chornous et al, 2021).…”
Section: Hybridization Of Recommender Systems In E-commerce Based On ...mentioning
confidence: 99%
“…al., 2022). The steep development of e-commerce tools ensures managing these processes successfully (Chornous et al, 2021;Roshchyk et al, 2022).…”
Section: Evolving Technologies and Products Leading To The Metaversementioning
confidence: 99%
“…Quickly adapting to changes in customers' economic behavior and mastering digital skills helped in the fast expansion of innovative technologies based on artificial intelligence in business processes [34][35][36], increased remote work opportunities [37,38], and the usage of other products and services based on IT solutions [39,40].…”
Section: Introductionmentioning
confidence: 99%