Toward Improving the Prediction Accuracy of a Product Recommendation System Based on Word Sequential Using LSTM Embedded
The ability to predict purchases is crucial for e-commerce decision makers when making offers and suggestions to customers. In the development of recommendation models, two common problems often encountered are a lack of personalization and irrelevant recommendations. To address these issues, it is...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2023/85/e3sconf_icenis2023_02048.pdf |