Reinforcing User Interest Evolution in Multi-Scenario Learning for recommender systems

Zhijian Feng, Wenhao Zheng, Xuanji Xiao

In real-world recommendation systems, users would engage in variety scenarios, such as homepages, search pages, and related recommendation pages. Each of these scenarios would refl…