Jason H. D. Cho

According to our database, Jason H. D. Cho authored at least 23 papers between 2011 and 2024.

Collaborative distances:

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

2024

Relation labeling in product knowledge graphs with large language models for e-commerce.

Jiao Chen, Luyi Ma, Xiaohan Li, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Int. J. Mach. Learn. Cybern., December, 2024

Personalized diversification of complementary recommendations with user preference in online grocery.

Luyi Ma, Nimesh Sinha, Jason H. D. Cho, Sushant Kumar, Kannan Achan

Frontiers Big Data, 2024

Improving Sequential Recommender Systems with Online and In-store User Behavior.

Luyi Ma, Aashika Padmanabhan, Anjana Ganesh, Shengwei Tang, Jiao Chen, Xiaohan Li, Lalitesh Morishetti, Kaushiki Nag, Malay Patel, Jason Cho, Sushant Kumar, Kannan Achan

CoRR, 2024

Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations.

Luyi Ma, Xiaohan Li, Zezhong Fan, Jianpeng Xu, Jason H. D. Cho, Praveenkumar Kanumala, Kaushiki Nag, Sushant Kumar, Kannan Achan

CoRR, 2024

2023

Seller-side Outcome Fairness in Online Marketplaces.

Zikun Ye, Reza Yousefi Maragheh, Lalitesh Morishetti, Shanu Vashishtha, Jason Cho, Kaushiki Nag, Sushant Kumar, Kannan Achan

CoRR, 2023

Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs.

Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan

CoRR, 2023

GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation.

Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Data Mining, 2023

LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models.

Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason H. D. Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2023

2022

Prospect-Net: Top-K Retrieval Problem Using Prospect Theory.

Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the IEEE International Conference on Big Data, 2022

2021

NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation.

Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

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

Event-based Product Carousel Recommendation with Query-Click Graph.

Luyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan

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

2020

Knowledge-aware Complementary Product Representation Learning.

Da Xu, Chuanwei Ruan, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Personalizing Item Recommendation via Price Understanding.

Soumya Wadhwa, Ashish Ranjan, Selene Xu, Jason H. D. Cho, Sushant Kumar, Kannan Achan

Proceedings of the Workshops on Recommendation in Complex Scenarios and the Impact of Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

2019

Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries.

Luyi Ma, Jason H. D. Cho, Sushant Kumar, Kannan Achan

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

2017

Identifying Medications that Patients Stopped Taking in Online Health Forums.

Jason H. D. Cho, Tony Gao, Roxana Girju

Proceedings of the 11th IEEE International Conference on Semantic Computing, 2017

2016

Why patients in online communities report not taking SSRIs.

Jason H. D. Cho, Marina Shah, Roxana Girju

Proceedings of the AMIA 2016, 2016

2015

Understanding User Intents in Online Health Forums.

Thomas Zhang, Jason H. D. Cho, Chengxiang Zhai

IEEE J. Biomed. Health Informatics, 2015

Recommending forum posts to designated experts.

Jason H. D. Cho, Yanen Li, Roxana Girju, Chengxiang Zhai

Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014

Local Learning for Mining Outlier Subgraphs from Network Datasets.

Manish Gupta, Arun Mallya, Subhro Roy, Jason H. D. Cho, Jiawei Han

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Resolving healthcare forum posts via similar thread retrieval.

Jason H. D. Cho, Parikshit Sondhi, Chengxiang Zhai, Bruce R. Schatz

Proceedings of the 5th ACM Conference on Bioinformatics, 2014

Utilizing Smartphones to Enhance Urine Strip Test Accessibility.

Jason H. D. Cho, Jacob Guggenheim, Elizabeth Arcan, Hannah Friedman, Shravan Gupta, Joyce K. Thomas, Deana McDonagh, Bruce R. Schatz

Proceedings of the AMIA 2014, 2014

2013

Aggregating Personal Health Messages for Scalable Comparative Effectiveness Research.

Jason H. D. Cho, Q. Vera Liao, Yunliang Jiang, Bruce R. Schatz

Proceedings of the ACM Conference on Bioinformatics, 2013

2011

Robust Classification of Curvilinear and Surface-Like Structures in 3d Point Cloud Data.

Mahsa Kamali, Matei Stroila, Jason Cho, Eric Shaffer, John C. Hart

Proceedings of the Advances in Visual Computing - 7th International Symposium, 2011