A Sequential Recommendation Model for Balancing Long- and Short-Term Benefits
Abstract Typically, user behaviour occurs continuously, and considering this dynamic sequence correlation can lead to more accurate recommendations. Sequential recommendation systems have, therefore, become an important means of solving the problem of network information overload. However, existing...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2024-04-01
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| Series: | International Journal of Computational Intelligence Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s44196-024-00460-5 |