activity
20172026
most citedRecommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach

1 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Arbor: Tree Search as a Cognition Layer for Autonomous Agents

Neha Prakriya, Chaojun Hou, Zheng Gong +5

Arbor is a multi-agent framework that introduces structured tree search as a cognition layer for autonomous agents operating in large, stateful action spaces. Prior autonomous opti…

cs.CL2021

TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search

Jason Yue Zhu, Yanling Cui, Yuming Liu +7

Text encoders based on C-DSSM or transformers have demonstrated strong performance in many Natural Language Processing (NLP) tasks. Low latency variants of these models have also b…

cs.CL20201 cited

SemEval-2020 Task 5: Counterfactual Recognition

Xiaoyu Yang, Stephen Obadinma, Huasha Zhao +3

We present a counterfactual recognition (CR) task, the shared Task 5 of SemEval-2020. Counterfactuals describe potential outcomes (consequents) produced by actions or circumstances…

cs.IR20191 cited

Graph Convolution for Multimodal Information Extraction from Visually Rich Documents

Xiaojing Liu, Feiyu Gao, Qiong Zhang +1

Visually rich documents (VRDs) are ubiquitous in daily business and life. Examples are purchase receipts, insurance policy documents, custom declaration forms and so on. In VRDs, v…

cs.IR20171 cited

Recommending Complementary Products in E-Commerce Push Notifications with a Mixture Model Approach

Huasha Zhao, Luo Si, Xiaogang Li +1

Push notification is a key component for E-commerce mobile applications, which has been extensively used for user growth and engagement. The effectiveness of the push notification…