2 papers
cs.IR2025
Breaking the Curse of Knowledge: Towards Effective Multimodal Recommendation using Knowledge Soft Integration
Kai Ouyang, Chen Tang, Zenghao Chai +4
A critical challenge in contemporary recommendation systems lies in effectively leveraging multimodal content to enhance recommendation personalization. Although various solutions…
cs.IR2025
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…