Junwei Pan

Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising

2019

Conversion prediction plays an important role in online advertis- ing since Cost-Per-Action (CPA) has become one of the primary campaign performance objectives in the industry. Unlike click pre- diction, conversions have different types in nature, …

Multi-Sequence Attentive User Representation Learning for Side-information Integrated Sequential Recommendation

2024

Side-information integrated sequential recommendation incorporates supplementary information to alleviate the issue of data sparsity. The state-of-the-art works mainly leverage some side information to improve the attention calculation to learn user representation more accurately. However, there …

Field-weighted Factorization Machines for Click-Through Rate Prediction in Display Advertising

2018

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 feature is categorical and belongs to one and only one …