306 citations
- The University of SydneyAU13 papers
- Chinese Academy of SciencesCN8 papers
- University of Chinese Academy of SciencesCN8 papers
- University of Science and Technology of ChinaCN8 papers
- Tsinghua UniversityCN7 papers
- Wuhan UniversityCN7 papers
- JDSU (United States)US6 papers
- Nanyang Technological UniversitySG5 papers
- Beihang UniversityCN4 papers
- Beijing Institute of TechnologyCN4 papers
- Peking UniversityCN4 papers
- Tencent (China)CN4 papers
6 papers · 1 filter
DEGR: Dual Exploration-Driven Generative Re-Ranking for Adaptive Cross-Request Context Bridging
Binglei Zhao, Xuanhua Yang, Xiwei Zhao +1
In industrial recommendation systems, the re-ranking stage balances business objectives and diversity for sequence-level optimization while modeling contextual information. However…
MMRM: A Multiplex Multimodal Representation Model for Product Ranking in E-commerce Search
Zhen-Lin Chen, Maosen Sheng, Peng Lin +4
Multimodal information is pivotal for e-commerce search ranking. Existing works leverage multimodal data typically by fine-tuning general Multimodal Large Language Models (MLLMs) v…
Probe-then-Plan: Environment-Aware Planning for Industrial E-commerce Search
Mengxiang Chen, Zhouwei Zhai, Jin Li
Modern e-commerce search is evolving to resolve complex user intents. While Large Language Models (LLMs) offer strong reasoning, existing LLM-based paradigms face a fundamental bli…
GenFacet: End-to-End Generative Faceted Search via Multi-Task Preference Alignment in E-Commerce
Zhouwei Zhai, Min Yang, Jin Li
Faceted search acts as a critical bridge for navigating massive ecommerce catalogs, yet traditional systems rely on static rule-based extraction or statistical ranking, struggling…
TRACE: Trajectory Recovery with State Propagation Diffusion for Urban Mobility
Jinming Wang, Hai Wang, Hongkai Wen +2
High-quality GPS trajectories are essential for location-based web services and smart city applications, including navigation, ride-sharing and delivery. However, due to low sampli…
Prior Knowledge-enhanced Spatio-temporal Epidemic Forecasting
Sijie Ruan, Jinyu Li, Jia Wei +7
Spatio-temporal epidemic forecasting is critical for public health management, yet existing methods often struggle with insensitivity to weak epidemic signals, over-simplified spat…