Dynamic prediction and recommendation of museum visitors' interest based on long short-term memory network (LSTM)
Abstract In the era of personalized digital experiences, enhancing visitor engagement in museums through intelligent, adaptive recommendation systems has become a critical need. Traditional museum recommendation systems often fail to account for the dynamic and evolving nature of visitors' inte...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
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Springer
2025-08-01
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| Series: | Discover Artificial Intelligence |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44163-025-00472-w |
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