Shreya Chakrabarti

According to our database, Shreya Chakrabarti authored at least 7 papers between 2016 and 2023.

Collaborative distances:

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

2023

Progressive Horizon Learning: Adaptive Long Term Optimization for Personalized Recommendation.

Congrui Yi, David Zumwalt, Zijian Ni, Shreya Chakrabarti

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Neural Insights for Digital Marketing Content Design.

Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Ricardo Henao, Shreya Chakrabarti

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2019

LORE: a large-scale offer recommendation engine with eligibility and capacity constraints.

Rahul Makhijani, Shreya Chakrabarti, Dale Struble, Yi Liu

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2018

The representativeness of eligible patients in type 2 diabetes trials: a case study using GIST 2.0.

Anando Sen, Andrew Goldstein, Shreya Chakrabarti, Ning Shang, Tian Kang, Anil Yaman, Patrick B. Ryan, Chunhua Weng

J. Am. Medical Informatics Assoc., 2018

2017

An Interoperable Similarity-based Cohort Identification Method Using the OMOP Common Data Model Version 5.0.

Shreya Chakrabarti, Anando Sen, Vojtech Huser, Gregory William Hruby, Alexander Rusanov, David J. Albers, Chunhua Weng

J. Heal. Informatics Res., 2017

2016

GIST 2.0: A scalable multi-trait metric for quantifying population representativeness of individual clinical studies.

Anando Sen, Shreya Chakrabarti, Andrew Goldstein, Shuang Wang, Patrick B. Ryan, Chunhua Weng

J. Biomed. Informatics, 2016

How Have Cancer Clinical Trial Eligibility Criteria Evolved Over Time?

Anil Yaman, Shreya Chakrabarti, Anando Sen, Chunhua Weng

Proceedings of the Summit on Clinical Research Informatics, 2016