5 papers
MUVR: A Multi-Modal Untrimmed Video Retrieval Benchmark with Multi-Level Visual Correspondence
Yue Feng, Jinwei Hu, Qijia Lu +11
We propose the Multi-modal Untrimmed Video Retrieval task, along with a new benchmark (MUVR) to advance video retrieval for long-video platforms. MUVR aims to retrieve untrimmed vi…
HALO: Hindsight-Augmented Learning for Online Auto-Bidding
Pusen Dong, Chenglong Cao, Xinyu Zhou +4
Digital advertising platforms operate millisecond-level auctions through Real-Time Bidding (RTB) systems, where advertisers compete for ad impressions through algorithmic bids. Thi…
Deep Uncertainty-Based Explore for Index Construction and Retrieval in Recommendation System
Xin Jiang, Kaiqiang Wang, Yinlong Wang +7
In recommendation systems, the relevance and novelty of the final results are selected through a cascade system of Matching -> Ranking -> Strategy. The matching model serves as the…
A New Creative Generation Pipeline for Click-Through Rate with Stable Diffusion Model
Hao Yang, Jianxin Yuan, Shuai Yang +3
In online advertising scenario, sellers often create multiple creatives to provide comprehensive demonstrations, making it essential to present the most appealing design to maximiz…
Deep Ensemble Shape Calibration: Multi-Field Post-hoc Calibration in Online Advertising
Shuai Yang, Hao Yang, Zhuang Zou +3
In the e-commerce advertising scenario, estimating the true probabilities (known as a calibrated estimate) on Click-Through Rate (CTR) and Conversion Rate (CVR) is critical. Previo…