A Retail Product Categorisation Dataset
- Most eCommerce applications, like web-shops have millions of products. In this context, the identification of similar products is a common sub-task, which can be utilized in the implementation of recommendation systems, product search engines and internal supply logistics. Providing this data set, our goal is to boost the evaluation of machine learning methods for the prediction of the category ofMost eCommerce applications, like web-shops have millions of products. In this context, the identification of similar products is a common sub-task, which can be utilized in the implementation of recommendation systems, product search engines and internal supply logistics. Providing this data set, our goal is to boost the evaluation of machine learning methods for the prediction of the category of the retail products from tuples of images and descriptions.…
| Document Type: | Report |
|---|---|
| Zitierlink: | https://opus.hs-offenburg.de/5291 | Bibliografische Angaben |
| Title (English): | A Retail Product Categorisation Dataset |
| Author: | Febin Sebastian ElayanithottathilStaff MemberGND, Janis KeuperStaff MemberORCiDGND |
| Year of Publication: | 2021 |
| Page Number: | 5 |
| First Page: | 1 |
| Last Page: | 5 |
| Language: | English | Inhaltliche Informationen |
| Institutes: | Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019) |
| Forschung / IMLA - Institute for Machine Learning and Analytics | |
| Institutes: | Bibliografie | Formale Angaben |
| Open Access: | Open Access |
| Licence (German): |  Creative Commons - CC0 1.0 - Universell - Public Domain Dedication |
| Comment: | last revised 3 Apr 2021 |
| ArXiv Id: | http://arxiv.org/abs/2103.13864 |