Moumita Bhattacharya

According to our database, Moumita Bhattacharya authored at least 17 papers between 2014 and 2024.

Collaborative distances:

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

2024

IntentRec: Predicting User Session Intent with Hierarchical Multi-Task Learning.

Sejoon Oh, Moumita Bhattacharya, Yesu Feng, Sudarshan Lamkhede

CoRR, 2024

Third Workshop on Personalization and Recommendations in Search (PaRiS).

Sudarshan Lamkhede, Hamed Zamani, Moumita Bhattacharya, Hongning Wang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Joint Modeling of Search and Recommendations Via an Unified Contextual Recommender (UniCoRn).

Moumita Bhattacharya, Vito Ostuni, Sudarshan Lamkhede

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Personalization and Recommendations in Search.

Sudarshan Lamkhede, Anlei Dong, Moumita Bhattacharya, Hongning Wang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

2022

Augmenting Netflix Search with In-Session Adapted Recommendations.

Moumita Bhattacharya, Sudarshan Lamkhede

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Deep Search Relevance Ranking in Practice.

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

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

2021

Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy(HCM-VAr-Risk Model).

Moumita Bhattacharya, Dai-Yin Lu, Shibani M. Kudchadkar, Gabriela Villarreal Greenland, Prasanth Lingamaneni, Celia P. Corona-Villalobos, Yufan Guan, Joseph E. Marine, Jeffrey E. Olgin, Stefan L. Zimmerman, Theodore P. Abraham, Hagit Shatkay, Maria Roselle Abraham

CoRR, 2021

Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model.

Moumita Bhattacharya, Dai-Yin Lu, Ioannis Ventoulis, Gabriela V. Greenland, Hulya Yalcin, Yufan Guan, Joseph E. Marine, Jeffrey E. Olgin, Stefan L. Zimmerman, Theodore P. Abraham, M. Roselle Abraham, Hagit Shatkay

CoRR, 2021

2020

Query as Context for Item-to-Item Recommendation.

Moumita Bhattacharya, Amey Barapatre

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

Joint Optimization of Profit and Relevance for Recommendation Systems in E-commerce.

Raphael Louca, Moumita Bhattacharya, Diane Hu, Liangjie Hong

Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

2018

Chronic Kidney Disease stratification using office visit records: Handling data imbalance via hierarchical meta-classification.

Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay

BMC Medical Informatics Decis. Mak., 2018

Co-occurrence of medical conditions: Exposing patterns through probabilistic topic modeling of snomed codes.

Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay

J. Biomed. Informatics, 2018

Co-occurrence of Medical Conditions: Exposing Patterns Through Probabilistic Topic Modeling.

Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay

Proceedings of the 2018 ACM International Conference on Bioinformatics, 2018

2017

Identifying articles relevant to drug-drug interaction: Addressing class imbalance.

Gongbo Zhang, Moumita Bhattacharya, Heng-Yi Wu, Pengyuan Li, Lang Li, Hagit Shatkay

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

Assessing chronic kidney disease from office visit records using hierarchical meta-classification of an imbalanced dataset.

Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay

Proceedings of the 2017 IEEE International Conference on Bioinformatics and Biomedicine, 2017

2016

Identifying patterns of associated-conditions through topic models of Electronic Medical Records.

Moumita Bhattacharya, Claudine Jurkovitz, Hagit Shatkay

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

2014

Identifying growth-patterns in children by applying cluster analysis to electronic medical records.

Moumita Bhattacharya, Deborah Ehrenthal, Hagit Shatkay

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014