A5106916553- Recommender Systems and Techniques
- Consumer Market Behavior and Pricing
- Web Data Mining and Analysis
- Image and Video Quality Assessment
- Auction Theory and Applications
Huawei Technologies (China)
2024
Click-through rate (CTR) prediction is crucial for personalized online services. Sample-level retrieval-based models, such as RIM, have demonstrated remarkable performance. However, they face challenges including inference inefficiency and high resource consumption due to the retrieval process, which hinder their practical application in industrial settings. To address this, we propose a universal plug-and-play <u>r</u>etrieval-<u>o</u>riented <u>k</u>nowledge (ROK) framework that bypasses...
Click-Through Rate (CTR) prediction is a fundamental technique for online advertising recommendation and the complex competitive auction process also brings many difficulties to CTR optimization. Recent studies have shown that introducing posterior information contributes performance of prediction. However, existing work doesn't fully capitalize on benefits overlooks data bias brought by auction, leading biased suboptimal results. To address these limitations, we propose Auction Information...