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cs.IR2025★ 2 cited
Hierarchical Graph Information Bottleneck for Multi-Behavior Recommendation
Hengyu Zhang, Chunxu Shen, Xiangguo Sun +5
In real-world recommendation scenarios, users typically engage with platforms through multiple types of behavioral interactions. Multi-behavior recommendation algorithms aim to lev…
cs.IR2025
Multi-Perspective Attention Mechanism for Bias-Aware Sequential Recommendation
Mingjian Fu, Hengsheng Chen, Dongchun Jiang +1
In the era of advancing information technology, recommender systems have emerged as crucial tools for dealing with information overload. However, traditional recommender systems st…