Scaling up Dynamic Topic Models. - Arnab Bhadury; Jianfei Chen 001; Jun Zhu 001; Shixia Liu (WWW, 2016)

Learning content and usage factors simultaneously to reduce clickbaits. - Arnab Bhadury; Aanchan Mohan (RecSys, 2018)

Personalizing Peloton: Combining Rankers and Filters To Balance Engagement and Business Goals. - Shayak Banerjee; Arnab Bhadury; Nilothpal Talukder; Santosh Thammana (RecSys, 2021)

Timely Personalization at Peloton: A System and Algorithm for Boosting Time-Relevant Content. - Shayak Banerjee; Vijay Pappu; Nilothpal Talukder; Shoya Yoshida; Arnab Bhadury; Allison Schloss; Jasmine Paulino (RecSys, 2022)

Panel discussion moderated by Paolo Cremonesi. - Jiangwei Pan; Arnab Bhadury; Srijan Saket (LERI@RecSys, 2023)

VideoRecSys + LargeRecSys 2024. - Khushhall Chandra Mahajan; Amey Porobo Dharwadker; Saurabh Gupta; Brad Schumitsch; Arnab Bhadury; Ding Tong; Ko-Jen Hsiao; Liang Liu 017 (RecSys, 2024)

Optimizing for Participation in Recommender System. - Yuan Shao; Bibang Liu; Sourabh Bansod; Arnab Bhadury; Mingyan Gao; Yaping Zhang (RecSys, 2024)

Item Level Exploration Traffic Allocation in Large-scale Recommendation Systems. - Dong Wang; Junyi Jiao; Arnab Bhadury; Yaping Zhang; Mingyan Gao (CoRR, 2025)

Item-centric Exploration for Cold Start Problem. - Dong Wang; Junyi Jiao; Arnab Bhadury; Yaping Zhang; Mingyan Gao; Onkar Dalal (CoRR, 2025)