1 citations · 1 across the 1 of their papers we have counts for
5 papers
FreshRetailNet-50K: A Stockout-Annotated Censored Demand Dataset for Latent Demand Recovery and Forecasting in Fresh Retail
Yangyang Wang, Jiawei Gu, Li Long +5
Accurate demand estimation is critical for the retail business in guiding the inventory and pricing policies of perishable products. However, it faces fundamental challenges from c…
Reinforce Lifelong Interaction Value of User-Author Pairs for Large-Scale Recommendation Systems
Yisha Li, Lexi Gao, Jingxin Liu +4
Recommendation systems (RS) help users find interested content and connect authors with their target audience. Most research in RS tends to focus either on predicting users' immedi…
Use ADAS Data to Predict Near-Miss Events: A Group-Based Zero-Inflated Poisson Approach
Xinbo Zhang, Montserrat Guillen, Lishuai Li +2
Driving behavior big data leverages multi-sensor telematics to understand how people drive and powers applications such as risk evaluation, insurance pricing, and targeted interven…
TADT-CSA: Temporal Advantage Decision Transformer with Contrastive State Abstraction for Generative Recommendation
Xiang Gao, Tianyuan Liu, Yisha Li +5
With the rapid advancement of Transformer-based Large Language Models (LLMs), generative recommendation has shown great potential in enhancing both the accuracy and semantic unders…
Supervised Learning-enhanced Multi-Group Actor Critic for Live Stream Allocation in Feed
Jingxin Liu, Xiang Gao, Yisha Li +3
In the context of a short video & live stream mixed recommendation scenario, the live stream recommendation system (RS) decides whether to allocate at most one live stream into the…