User Invariant Preference Learning for Multi-Behavior Recommendation

Mingshi Yan, Zhiyong Cheng, Fan Liu +2

In multi-behavior recommendation scenarios, analyzing users' diverse behaviors, such as click, purchase, and rating, enables a more comprehensive understanding of their interests,…