F-TransR: A sports event revenue prediction model integrating multi-modal and time-series data.
Sports event revenue prediction is a complex, multimodal task that requires effective integration of diverse data sources. Traditional models struggle to combine real-time data streams with historical time-series data, resulting in limited prediction accuracy. To address this challenge, we propose F...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0327459 |
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