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About An Efficient Fashion Recommendation System Using A Deep CNN Model
The document discusses an efficient fashion recommendation system using a deep CNN model presented by authors B Suvarna and Sivadi Balakrishna at the 2022 International Conference on Automation, Computing and Renewable Systems. The proposed deep CNN model classifies fashion products with 89.02% accuracy, outperforming other existing models. Recommendation systems aim to suggest comparable products based on a user's interests and queries to help with online purchasing decisions by filtering vast datasets.
Detailed Information
Author: | ['MES Library'] |
---|---|
Publication Year: | 2024 |
Pages: | 5 |
Language: | English |
Format: | |
Price: | FREE |
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