Edi Surya, Negara and Sulaiman, Sulaiman and Ria Andryani, M.M., M.Kom, Ria Andryani, M.M., M.Kom and Prihambodo Hendro, Saksono and Yeni, Widyanti (2023) Recommendation System with Content-Based Filtering in NFT Marketplace. Journal of Advances in Information Technology, 14 (3). pp. 518-522. ISSN 1798-2340
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Abstract
Non-Fungible Token (NFT) is a digital asset that cannot be exchanged or used, and uses Crypto currency values according to the type of digital money used, for example Bitcoin, Ethereum. The NFT Marketplace is a platform for buying and selling NFT like Tokopedia. This common problem is often encountered in e-commerce, especially in the NFT Marketplace, among other buyers often having difficulty finding products. This makes it difficult for the NFT Marketplace and sellers to promote products that match the preferences of potential buyers. A recommendation system that is very much needed in overcoming these problems, responding to these problems the author tries to make a recommendation system using the Content Based Filtering approach using the cosine similarity. The results of this study indicate that the Machine Learning model can provide Top-N recommendations from the product being sought.
| Item Type: | Article |
|---|---|
| Subjects: | A General Works > AI Indexes (General) Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Mr Edi Surya Negara |
| Date Deposited: | 23 Jun 2023 07:14 |
| Last Modified: | 23 Jun 2023 07:18 |
| URI: | http://eprints.binadarma.ac.id/id/eprint/17455 |
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