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.

Data and Resources

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

DOI retrieved: December 2, 2024

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Created December 2, 2024
Last update December 2, 2024
Author Zihan Wang
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Gang Wu
Haotong Wang