209 citations
- Tsinghua UniversityCN19 papers
- University of Science and Technology of ChinaCN14 papers
- OriginWater (China)CN12 papers
- Peking UniversityCN10 papers
- Renmin University of ChinaCN8 papers
- Chinese Academy of SciencesCN7 papers
- National University of SingaporeSG7 papers
- University of Electronic Science and Technology of ChinaCN6 papers
- City University of Hong KongHK5 papers
- Hong Kong University of Science and TechnologyHK5 papers
- Tencent (China)CN5 papers
- University of Chinese Academy of SciencesCN5 papers
20 papers · 1 filter
S-Diff: An Anisotropic Diffusion Model for Collaborative Filtering in Spectral Domain
Rui Xia, Yanhua Cheng, Yongxiang Tang +4
Recovering user preferences from user-item interaction matrices is a key challenge in recommender systems. While diffusion models can sample and reconstruct preferences from latent…
DREAM: Domain-agnostic Reverse Engineering Attributes of Black-box Model
Rongqing Li, Jiaqi Yu, Changsheng Li +3
Deep learning models are usually black boxes when deployed on machine learning platforms. Prior works have shown that the attributes (e.g., the number of convolutional layers) of a…
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…
LDACP: Long-Delayed Ad Conversions Prediction Model for Bidding Strategy
Peng Cui, Yiming Yang, Fusheng Jin +8
In online advertising, once an ad campaign is deployed, the automated bidding system dynamically adjusts the bidding strategy to optimize Cost Per Action (CPA) based on the number…
SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks
Yongyan Wen, Siyuan Li, Rongchang Zuo +3
Deep reinforcement learning (DRL) has achieved remarkable success in various research domains. However, its reliance on neural networks results in a lack of transparency, which lim…
Online Item Cold-Start Recommendation with Popularity-Aware Meta-Learning
Yunze Luo, Yuezihan Jiang, Yinjie Jiang +5
With the rise of e-commerce and short videos, online recommender systems that can capture users' interests and update new items in real-time play an increasingly important role. In…