Emotion and sentiment enriched decision transformer for personalized recommendations
Abstract In the era of smart cities and personalized services, recommendation systems are an integral part of handling massive user-generated content and providing personalized recommendations. Traditional systems often fail to capture the nuances of embedded emotions and sentiment in user reviews,...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-06386-y |
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