2 papers
cs.IR2024
Proactive Detection and Calibration of Seasonal Advertisements with Multimodal Large Language Models
Hamid Eghbalzadeh, Shuai Shao, Saurabh Verma +5
A myriad of factors affect large scale ads delivery systems and influence both user experience and revenue. One such factor is proactive detection and calibration of seasonal adver…
cs.IR2024
Async Learned User Embeddings for Ads Delivery Optimization
Mingwei Tang, Meng Liu, Hong Li +16
In recommendation systems, high-quality user embeddings can capture subtle preferences, enable precise similarity calculations, and adapt to changing preferences over time to maint…