49 citations · 55 across the 6 of their papers we have counts for
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cs.IR2025★ 1 cited
Combinatorial Optimization Perspective based Framework for Multi-behavior Recommendation
Chenhao Zhai, Chang Meng, Yu Yang +3
In real-world recommendation scenarios, users engage with items through various types of behaviors. Leveraging diversified user behavior information for learning can enhance the re…
cs.IR2023★ 49 cited
Parallel Knowledge Enhancement based Framework for Multi-behavior Recommendation
Chang Meng, Chenhao Zhai, Yu Yang +2
Multi-behavior recommendation algorithms aim to leverage the multiplex interactions between users and items to learn users' latent preferences. Recent multi-behavior recommendation…