Singh, Anurag and Shaw, Subhadra (2022) Mitigating to user cold-start issue in Recommendations System. In: Proceedings of The International Conference on Emerging Trends in Artificial Intelligence and Smart Systems, THEETAS 2022, 16-17 April 2022, Jabalpur, India.
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Abstract
This research paper uses a brand new popular model to resolve users' side issues within the recommendation process. the primary cold problem occurs when the target user doesn't have a rating history within the system. Today, the recommendation system has been utilized in various fields. However, the
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 15:20 |
| Last Modified: | 17 Apr 2026 06:12 |
| URI: | http://eprints.eai.eu/id/eprint/38793 |
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