Harshita Chopra

Research Associate

Bangalore

Harshita Chopra joined Adobe Research, India, in July 2022, after completing her Bachelor’s in Technology from Indraprastha University, Delhi. Her research interests span the areas of machine learning, user modeling and data-driven decision making. She has worked on developing predictive clustering models to segment users based on browsing behavior captured in clickstream logs. Her current work at Adobe finds application in digital marketing, with focus on audience discovery and optimization, customer journey simulation and recommender systems.

Publications

Delivery Optimized Discovery in Behavioral User Segmentation under Budget Constraint

Chopra, H., Sinha, A., Choudhary, S., Rossi, R., Indela, P., Parwatala, V., Paul, S., Maiti, A. (Oct. 21, 2023)

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM)

The Role of Unattributed Behavior Logs in Predictive User Segmentation

Sinha, A., Chopra, H., Maiti, A., Ganesh, A., Kapoor, S., Myana, S., Mahapatra, S. (Oct. 21, 2023)

ACM International Conference on Information and Knowledge Management (CIKM)