7 citations · 12 across the 5 of their papers we have counts for
5 papers
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation
Guoqiang Sun, Yibin Shen, Sijin Zhou +6
Cross-domain recommendation has attracted increasing attention from industry and academia recently. However, most existing methods do not exploit the interest invariance between do…
Video Background Music Generation: Dataset, Method and Evaluation
Le Zhuo, Zhaokai Wang, Baisen Wang +7
Music is essential when editing videos, but selecting music manually is difficult and time-consuming. Thus, we seek to automatically generate background music tracks given video in…
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao
Lixin Liu, Yanling Wang, Tianming Wang +6
As one of the largest e-commerce platforms in the world, Taobao's recommendation systems (RSs) serve the demands of shopping for hundreds of millions of customers. Click-Through Ra…
The Real Deal: A Review of Challenges and Opportunities in Moving Reinforcement Learning-Based Traffic Signal Control Systems Towards Reality
Rex Chen, Fei Fang, Norman Sadeh
Traffic signal control (TSC) is a high-stakes domain that is growing in importance as traffic volume grows globally. An increasing number of works are applying reinforcement learni…
TPG-DNN: A Method for User Intent Prediction Based on Total Probability Formula and GRU Loss with Multi-task Learning
Jingxing Jiang, Zhubin Wang, Fei Fang +1
The E-commerce platform has become the principal battleground where people search, browse and pay for whatever they want. Critical as is to improve the online shopping experience f…