111 citations · 112 across the 6 of their papers we have counts for
6 papers
AIGP: An LLM-Based Framework for Long-Term Value Alignment in E-Commerce Pricing
Chennan Ma, Yanning Zhang, Siqi Hong +3
Traditional dynamic pricing models in large-scale e-commerce suffer from limited interpretability, poor utilization of unstructured information, and misalignment with long-term bus…
Generative Auto-Bidding with Unified Modeling and Exploration
Mingming Zhang, Feiqing Zhuang, Na Li +7
Automated bidding is central to modern digital advertising. Early rule-based methods lacked adaptability, while subsequent Reinforcement Learning approaches modeled bidding as a Ma…
Towards Sustainable Growth: A Multi-Value-Aware Retrieval Framework for E-Commerce Search
Yifan Wang, Yixuan Wang, YiDan Liang +2
New item growth is critical for maintaining a healthy ecosystem in large-scale e-commerce platforms. However, existing systems tend to prioritize presenting users with already popu…
IDProxy: CTR Prediction with Multimodal LLMs for Cold-Start Recommendation at Xiaohongshu
Yubin Zhang, Haiming Xu, Guillaume Salha-Galvan +6
Content-driven platforms such as Xiaohongshu often leverage click-through rate (CTR) prediction models for recommendation. However, these models depend heavily on item ID embedding…
Accelerating E-Commerce Search Engine Ranking by Contextual Factor Selection
Yusen Zhan, Qing Da, Fei Xiao +2
In industrial large-scale search systems, such as Taobao.com search for commodities, the quality of the ranking result is getting continually improved by introducing more factors f…
Cascade Ranking for Operational E-commerce Search
Shichen Liu, Fei Xiao, Wenwu Ou +1
In the 'Big Data' era, many real-world applications like search involve the ranking problem for a large number of items. It is important to obtain effective ranking results and at…