3 papers
cs.LG2022
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies
Ruichu Cai, Fengzhu Wu, Zijian Li +4
The recommendation system, relying on historical observational data to model the complex relationships among the users and items, has achieved great success in real-world applicati…
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…
cs.LG2021
Graph Domain Adaptation: A Generative View
Ruichu Cai, Fengzhu Wu, Zijian Li +3
Recent years have witnessed tremendous interest in deep learning on graph-structured data. Due to the high cost of collecting labeled graph-structured data, domain adaptation is im…