Item Matching Model in E-Commerce: How Users Benefit
Research purpose. During the last decades, e-commerce sales have been rocketing, and this tendency is expected to increase over the following years. Due to the digital nature of e-commerce, one actual item can be sold on various e-commerce platforms, which leads to the exponential growth of the numb...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2023-06-01
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| Series: | Economics and Culture |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/jec-2023-0007 |
| _version_ | 1797788976754458624 |
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| author | Cherednichenko Olga Ivashchenko Oksana Cibák Ľuboš Lincenyi Marcel |
| author_facet | Cherednichenko Olga Ivashchenko Oksana Cibák Ľuboš Lincenyi Marcel |
| author_sort | Cherednichenko Olga |
| collection | DOAJ |
| description | Research purpose. During the last decades, e-commerce sales have been rocketing, and this tendency is expected to increase over the following years. Due to the digital nature of e-commerce, one actual item can be sold on various e-commerce platforms, which leads to the exponential growth of the number of propositions. At the same time, the title and description of this item might differ. All these facts make more complicated for customers the process of searching on online platforms and change business approaches to the development of competitive strategy by e-commerce companies. The research question is how we can apply a machine learning algorithm to detect, based on the product information such as title and description, whether the items are actually relevant to the same product. |
| first_indexed | 2024-03-13T01:44:13Z |
| format | Article |
| id | doaj.art-f1250925ad4b4f6b91c27f9016795873 |
| institution | Directory Open Access Journal |
| issn | 2256-0173 |
| language | English |
| last_indexed | 2024-03-13T01:44:13Z |
| publishDate | 2023-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Economics and Culture |
| spelling | doaj.art-f1250925ad4b4f6b91c27f90167958732023-07-03T10:21:32ZengSciendoEconomics and Culture2256-01732023-06-01201779010.2478/jec-2023-0007Item Matching Model in E-Commerce: How Users BenefitCherednichenko Olga0Ivashchenko Oksana1Cibák Ľuboš2Lincenyi Marcel31Bratislava University of Economics and Management, Bratislava, Slovakia, National Technical University “Kharkiv Polytechnic Institute”, Kharkiv, Ukraine2Bratislava University of Economics and Management, Bratislava, Slovakia3Bratislava University of Economics and Management, Bratislava, Slovakia4Bratislava University of Economics and Management, Bratislava, SlovakiaResearch purpose. During the last decades, e-commerce sales have been rocketing, and this tendency is expected to increase over the following years. Due to the digital nature of e-commerce, one actual item can be sold on various e-commerce platforms, which leads to the exponential growth of the number of propositions. At the same time, the title and description of this item might differ. All these facts make more complicated for customers the process of searching on online platforms and change business approaches to the development of competitive strategy by e-commerce companies. The research question is how we can apply a machine learning algorithm to detect, based on the product information such as title and description, whether the items are actually relevant to the same product.https://doi.org/10.2478/jec-2023-0007e-commerceitem matchingmodelentity resolutionbusiness managementmarketingdigitisationm30m19o31 |
| spellingShingle | Cherednichenko Olga Ivashchenko Oksana Cibák Ľuboš Lincenyi Marcel Item Matching Model in E-Commerce: How Users Benefit Economics and Culture e-commerce item matching model entity resolution business management marketing digitisation m30 m19 o31 |
| title | Item Matching Model in E-Commerce: How Users Benefit |
| title_full | Item Matching Model in E-Commerce: How Users Benefit |
| title_fullStr | Item Matching Model in E-Commerce: How Users Benefit |
| title_full_unstemmed | Item Matching Model in E-Commerce: How Users Benefit |
| title_short | Item Matching Model in E-Commerce: How Users Benefit |
| title_sort | item matching model in e commerce how users benefit |
| topic | e-commerce item matching model entity resolution business management marketing digitisation m30 m19 o31 |
| url | https://doi.org/10.2478/jec-2023-0007 |
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