2 papers
cs.IR2024
Debiased Model-based Interactive Recommendation
Zijian Li, Ruichu Cai, Haiqin Huang +4
Existing model-based interactive recommendation systems are trained by querying a world model to capture the user preference, but learning the world model from historical logged da…
cs.IR2021
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations
Zijian Li, Ruichu Cai, Fengzhu Wu +4
Sequential recommendation aims to choose the most suitable items for a user at a specific timestamp given historical behaviors. Existing methods usually model the user behavior seq…