2 papers
cs.AI2021
Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction
Feng Li, Bencheng Yan, Qingqing Long +4
Cross features play an important role in click-through rate (CTR) prediction. Most of the existing methods adopt a DNN-based model to capture the cross features in an implicit mann…
cs.LG2021
Graph Intention Network for Click-through Rate Prediction in Sponsored Search
Feng Li, Zhenrui Chen, Pengjie Wang +3
Estimating click-through rate (CTR) accurately has an essential impact on improving user experience and revenue in sponsored search. For CTR prediction model, it is necessary to ma…