4 papers
IntHQ: Task-Interactive Hierarchical Query on Dual-Stream Representations for Generative Recommendation
Junjie Sun, Longfei Xu, Huimin Yan +3
Multi-task learning over heterogeneous data is fundamental to modern recommendation, while generative models are emerging as the backbone of next-generation recommenders. However,…
IntRR: A Framework for Integrating SID Redistribution and Length Reduction
Zesheng Wang, Longfei Xu, Weidong Deng +3
Generative Recommendation (GR) has emerged as a transformative paradigm that reformulates the traditional cascade ranking system into a sequence-to-item generation task, facilitate…
IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation
Huimin Yan, Longfei Xu, Junjie Sun +4
Next Point of Interest (POI) recommendation is essential for modern mobility and location-based services. To provide a smooth user experience, models must understand several compon…
IntSR: An Integrated Generative Framework for Search and Recommendation
Huimin Yan, Longfei Xu, Junjie Sun +6
Generative recommendation has emerged as a promising paradigm, demonstrating remarkable results in both academic benchmarks and industrial applications. However, existing systems p…