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Dual-Granularity Contrastive Learning for Session-based Recommendation

The data encountered by Session-based Recommendation System(SBRS) is typically highly sparse, which also serves as one of the bottlenecks limiting the accuracy of recommendations.

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Cite this as

Zihan Wang, Gang Wu, Haotong Wang (2024). Dataset: Dual-Granularity Contrastive Learning for Session-based Recommendation. https://doi.org/10.57702/huo80kig

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Zihan Wang
More Authors	Gang Wu Haotong Wang