89 citations · 165 across the 9 of their papers we have counts for
5 papers · 1 filter
Follow the Prophet: Accurate Online Conversion Rate Prediction in the Face of Delayed Feedback
Haoming Li, Feiyang Pan, Xiang Ao +6
The delayed feedback problem is one of the imperative challenges in online advertising, which is caused by the highly diversified feedback delay of a conversion varying from a few…
DeepLight: Deep Lightweight Feature Interactions for Accelerating CTR Predictions in Ad Serving
Wei Deng, Junwei Pan, Tian Zhou +3
Click-through rate (CTR) prediction is a crucial task in online display advertising. The embedding-based neural networks have been proposed to learn both explicit feature interacti…
A Batched Multi-Armed Bandit Approach to News Headline Testing
Yizhi Mao, Miao Chen, Abhinav Wagle +3
Optimizing news headlines is important for publishers and media sites. A compelling headline will increase readership, user engagement and social shares. At Yahoo Front Page, headl…
Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising
Junwei Pan, Yizhi Mao, Alfonso Lobos Ruiz +2
Conversion prediction plays an important role in online advertising since Cost-Per-Action (CPA) has become one of the primary campaign performance objectives in the industry. Unlik…
Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising
Junwei Pan, Jian Xu, Alfonso Lobos Ruiz +4
Click-through rate (CTR) prediction is a critical task in online display advertising. The data involved in CTR prediction are typically multi-field categorical data, i.e., every fe…