Stephen Guo

According to our database, Stephen Guo authored at least 22 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

Click-Conversion Multi-Task Model with Position Bias Mitigation for Sponsored Search in eCommerce.

Yibo Wang, Yanbing Xue, Bo Liu, Musen Wen, Wenting Zhao, Stephen Guo, Philip S. Yu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Causal Structure Learning with Recommendation System.

Shuyuan Xu, Da Xu, Evren Körpeoglu, Sushant Kumar, Stephen Guo, Kannan Achan, Yongfeng Zhang

CoRR, 2022

Deep Search Relevance Ranking in Practice.

Linsey Pang, Wei Liu, Keng-hao Chang, Xue Li, Moumita Bhattacharya, Xianjing Liu, Stephen Guo

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Applied Machine Learning Methods for Time Series Forecasting.

Linsey Pang, Wei Liu, Lingfei Wu, Kexin Xie, Stephen Guo, Raghav Chalapathy, Musen Wen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Mitigating Frequency Bias in Next-Basket Recommendation via Deconfounders.

Xiaohan Li, Zheng Liu, Luyi Ma, Kaushiki Nag, Stephen Guo, Philip S. Yu, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Generating Rich Product Descriptions for Conversational E-commerce Systems.

Shashank Kedia, Aditya Mantha, Sneha Gupta, Stephen Guo, Kannan Achan

Proceedings of the Companion of The Web Conference 2021, 2021

PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer.

Yiling Jia, Huazheng Wang, Stephen Guo, Hongning Wang

Proceedings of the WWW '21: The Web Conference 2021, 2021

Pre-training Recommender Systems via Reinforced Attentive Multi-relational Graph Neural Network.

Xiaohan Li, Zhiwei Liu, Stephen Guo, Zheng Liu, Hao Peng, Philip S. Yu, Kannan Achan

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

An End-to-End ML System for Personalized Conversational Voice Models in Walmart E-Commerce.

Rahul Radhakrishnan Iyer, Praveenkumar Kanumala, Stephen Guo, Kannan Achan

CoRR, 2020

Product Title Generation for Conversational Systems using BERT.

Mansi Ranjit Mane, Shashank Kedia, Aditya Mantha, Stephen Guo, Kannan Achan

CoRR, 2020

BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network.

Zhiwei Liu, Mengting Wan, Stephen Guo, Kannan Achan, Philip S. Yu

Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

A Large-Scale Deep Architecture for Personalized Grocery Basket Recommendations.

Aditya Mantha, Yokila Arora, Shubham Gupta, Praveenkumar Kanumala, Zhiwei Liu, Stephen Guo, Kannan Achan

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Real-Time Whole Page Personalization Framework for E-Commerce.

Aditya Mantha, Anirudha Sundaresan, Shashank Kedia, Yokila Arora, Shubham Gupta, Gaoyang Wang, Praveenkumar Kanumala, Stephen Guo, Kannan Achan

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Basket Recommendation with Multi-Intent Translation Graph Neural Network.

Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen Guo, Kannan Achan, Philip S. Yu

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Complementary-Similarity Learning using Quadruplet Network.

Mansi Ranjit Mane, Stephen Guo, Kannan Achan

CoRR, 2019

Recovery-oriented Big Data Computing for Exactly Once Message Processing.

Fangchen Sun, Xiaotong Suo, Nishad Kamat, Feng Mao, Stephen Guo, Yitao Yao, Paritosh Malaviya, Kushal Bhatt, Anurag Gupta, Mridul Jain, Kannan Achan

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2017

Small Boxes Big Data: A Deep Learning Approach to Optimize Variable Sized Bin Packing.

Feng Mao, Edgar Blanco, Mingang Fu, Rohit Jain, Anurag Gupta, Sebastien Mancel, Rong Yuan, Stephen Guo, Sai Kumar, Yayang Tian

Proceedings of the Third IEEE International Conference on Big Data Computing Service and Applications, 2017

2015

SociaLite: An Efficient Graph Query Language Based on Datalog.

Jiwon Seo, Stephen Guo, Monica S. Lam

IEEE Trans. Knowl. Data Eng., 2015

2013

To Link or Not to Link? A Study on End-to-End Tweet Entity Linking.

Stephen Guo, Ming-Wei Chang, Emre Kiciman

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

SociaLite: Datalog extensions for efficient social network analysis.

Jiwon Seo, Stephen Guo, Monica S. Lam

Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

2012

So who won?: dynamic max discovery with the crowd.

Stephen Guo, Aditya G. Parameswaran, Hector Garcia-Molina

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

2011

The role of social networks in online shopping: information passing, price of trust, and consumer choice.

Stephen Guo, Mengqiu Wang, Jure Leskovec

Proceedings of the Proceedings 12th ACM Conference on Electronic Commerce (EC-2011), 2011