3 papers
cs.IR2023
RE-SORT: Removing Spurious Correlation in Multilevel Interaction for CTR Prediction
Song-Li Wu, Liang Du, Jia-Qi Yang +4
Click-through rate (CTR) prediction is a critical task in recommendation systems, serving as the ultimate filtering step to sort items for a user. Most recent cutting-edge methods…
cs.IR2023
DELTA: Dynamic Embedding Learning with Truncated Conscious Attention for CTR Prediction
Chen Zhu, Liang Du, Hong Chen +4
Click-Through Rate (CTR) prediction is a pivotal task in product and content recommendation, where learning effective feature embeddings is of great significance. However, traditio…
cs.CV2019
News Cover Assessment via Multi-task Learning
Zixun Sun, Shuang Zhao, Chengwei Zhu +1
Online personalized news product needs a suitable cover for the article. The news cover demands to be with high image quality, and draw readers' attention at same time, which is ex…