Information technology for intellectual analysis of item descriptions in e-commerce

Olga Cherednichenko (), Oksana Ivashchenko (), Marcel Lincényi () and Marián Kováč ()
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Olga Cherednichenko: Bratislava University of Economics and Management, Slovakia
Oksana Ivashchenko: Bratislava University of Economics and Management, Slovakia
Marcel Lincényi: Bratislava University of Economics and Management, Slovakia
Marián Kováč: Bratislava University of Economics and Management, Slovakia

Entrepreneurship and Sustainability Issues, 2023, vol. 11, issue 1, 178-190

Abstract: E-commerce is experiencing a robust surge, propelled by the worldwide digital transformation and the mutual advantages accrued by both consumers and merchants. The integration of information technologies has markedly augmented the efficacy of digital enterprise, ushering in novel prospects and shaping innovative business paradigms. Nonetheless, adopting information technology is concomitant with risks, notably concerning safeguarding personal data. This substantiates the significance of research within the domain of artificial intelligence for e-commerce, with particular emphasis on the realm of recommender systems. This paper is dedicated to the discourse surrounding the construction of information technology tailored for processing textual descriptions pertaining to commodities within the e-commerce landscape. Through a qualitative analysis, we elucidate factors that mitigate the risks inherent in unauthorized data access. The cardinal insight discerned is that the apt utilization of product matching technologies empowers the formulation of recommendations devoid of entailing customers' personal data or vendors' proprietary information. A meticulously devised structural model of this information technology is proffered, delineating the principal functional components essential for processing textual data found within electronic trading platforms. Central to our exposition is the exploration of the product comparison predicated on textual depictions. The resolution of this challenge stands to enhance the efficiency of product searches and facilitate product juxtaposition and categorization. The prospective implementation of the propounded information technology, either in its entirety or through its constituent elements, augurs well for sellers, enabling them to improve a pricing strategy and heightened responsiveness to market sales trends. Concurrently, it streamlines the procurement journey for buyers by expediting the identification of requisite goods within the intricate milieu of e-commerce platforms.

Keywords: information technology; e-commerce; product matching; text processing; model; Artificial Intelligence (AI) (search for similar items in EconPapers)
JEL-codes: C89 M15 O30 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:ssi:jouesi:v:11:y:2023:i:1:p:178-190

DOI: 10.9770/jesi.2023.11.1(10)

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