Jason H. D. Cho

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 13

Top Topics

Item Recommendation

Keyword Extraction

Discussion Forums

Proximity Graph

Top Venues

Publications

Luyi Ma, Nimesh Sinha, Jason H. D. Cho, Sushant Kumar, Kannan Achan
Personalized diversification of complementary recommendations with user preference in online grocery. Frontiers Big Data 6 (2024)
Jiao Chen, Luyi Ma, Xiaohan Li, Nikhil Thakurdesai, Jianpeng Xu, Jason H. D. Cho, Kaushiki Nag, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Knowledge Graph Completion Models are Few-shot Learners: An Empirical Study of Relation Labeling in E-commerce with LLMs. CoRR (2023)
Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation. ICDM (Workshops) (2023)
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
LLM-TAKE: Theme-Aware Keyword Extraction Using Large Language Models. BigData (2023)
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
LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models. CoRR (2023)
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. CoRR (2022)
Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
Prospect-Net: Top-K Retrieval Problem Using Prospect Theory. Big Data (2022)
Luyi Ma, Nimesh Sinha, Parth Vajge, Jason H. D. Cho, Sushant Kumar, Kannan Achan
Event-based Product Carousel Recommendation with Query-Click Graph. IEEE BigData (2021)
Luyi Ma, Jianpeng Xu, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan
NEAT: A Label Noise-resistant Complementary Item Recommender System with Trustworthy Evaluation. IEEE BigData (2021)
Soumya Wadhwa, Ashish Ranjan, Selene Xu, Jason H. D. Cho, Sushant Kumar, Kannan Achan
Personalizing Item Recommendation via Price Understanding. ComplexRec-ImpactRS@RecSys (2020)
Luyi Ma, Jason H. D. Cho, Sushant Kumar, Kannan Achan
Seasonality-Adjusted Conceptual-Relevancy-Aware Recommender System in Online Groceries. IEEE BigData (2019)
Jason H. D. Cho, Tony Gao, Roxana Girju
Identifying Medications that Patients Stopped Taking in Online Health Forums. ICSC (2017)
Jason H. D. Cho, Marina Shah, Roxana Girju
Why patients in online communities report not taking SSRIs. AMIA (2016)
Jason H. D. Cho, Yanen Li, Roxana Girju, Chengxiang Zhai
Recommending forum posts to designated experts. IEEE BigData (2015)
Thomas Zhang, Jason H. D. Cho, Chengxiang Zhai
Understanding User Intents in Online Health Forums. IEEE J. Biomed. Health Informatics 19 (4) (2015)
Jason H. D. Cho, Parikshit Sondhi, Chengxiang Zhai, Bruce R. Schatz
Resolving healthcare forum posts via similar thread retrieval. BCB (2014)
Jason H. D. Cho, Jacob Guggenheim, Elizabeth Arcan, Hannah Friedman, Shravan Gupta, Joyce Thomas, Deana McDonagh, Bruce R. Schatz
Utilizing Smartphones to Enhance Urine Strip Test Accessibility. AMIA (2014)
Manish Gupta, Arun Mallya, Subhro Roy, Jason H. D. Cho, Jiawei Han
Local Learning for Mining Outlier Subgraphs from Network Datasets. SDM (2014)
Thomas Zhang, Jason H. D. Cho, Chengxiang Zhai
Understanding user intents in online health forums. BCB (2014)
Jason H. D. Cho, Vera Q. Z. Liao, Yunliang Jiang, Bruce R. Schatz
Aggregating Personal Health Messages for Scalable Comparative Effectiveness Research. BCB (2013)