A General Framework for Debiasing in CTR Prediction

no code implementations • 6 Dec 2021 • Wenjie Chu, Shen Li, Chao Chen, Longfei Xu, Hengbin Cui, Kaikui Liu

Most of the existing methods for debaising in click-through rate (CTR) prediction depend on an oversimplified assumption, i. e., the click probability is the product of observation probability and relevance probability.

Click-Through Rate Prediction

R4: A Framework for Route Representation and Route Recommendation

no code implementations • 20 Oct 2021 • Ran Cheng, Chao Chen, Longfei Xu, Shen Li, Lei Wang, Hengbin Cui, Kaikui Liu, Xiaolong Li

For user representation, we utilize a series of historical navigation to extract user preference.

Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition

no code implementations • 12 Mar 2020 • Zhigang Dai, Jinhua Fu, Qile Zhu, Hengbin Cui, Xiaolong Li, Yuan Qi

We revise the attention distribution to focus on the local and contextual semantic information by incorporating the relative position information between utterances.