A New Approach of Integrating PSO & Improved GA for Clustering with Parallel and Transitional Technique. - Suresh Chandra Satapathy; Venkatesh Katari; Rohit Parimi; Satish Malireddi; V. N. K. Srujan K.; Bijan Bihari Misra; J. V. R. Murthy (ICNC (4), 2007)

Predicting Friendship Links in Social Networks Using a Topic Modeling Approach. - Rohit Parimi; Doina Caragea (PAKDD (2), 2011)

Pre-release Box-Office Success Prediction for Motion Pictures. - Rohit Parimi; Doina Caragea (MLDM, 2013)

Economic Development through Business Profiling: A Text Analysis Based Approach. - Rohit Parimi; Doina Caragea; Dale Wunderlich (Web Intelligence, 2013)

Community Detection on Large Graph Datasets for Recommender Systems. - Rohit Parimi; Doina Caragea (ICDM Workshops, 2014)

Leveraging Multiple Networks for Author Personalization. - Rohit Parimi; Doina Caragea (AAAI Workshop: Scholarly Big Data, 2015)

How to Choose a Recommender System: Insights and Experiences for Large-Scale User Personalization. - Rohit Parimi; Toma Trepka; Doina Caragea; Cody Bennett (BigData Congress, 2015)

Cross-Domain Matrix Factorization for Multiple Implicit-Feedback Domains. - Rohit Parimi; Doina Caragea (MOD, 2015)

What Differentiates News Articles with Short and Long Shelf Lives? A Case Study on News Articles at Bloomberg.com. - Wessam Elhefnawy; Jesse Wright; Kumara Kallepalli; Kevin Racheal; Ajay Gupta 003; Rohit Parimi; Parth Shah; Yaohang Li (BDCloud-SocialCom-SustainCom, 2016)

News Recommendations at scale at Bloomberg Media: Challenges and Approaches. - Dhaval Shah; Pramod Koneru; Parth Shah; Rohit Parimi (RecSys, 2016)

Driving Subscriptions Through User Behavior Modeling and Prediction at Bloomberg Media. - Rishab Gupta; Rohit Parimi; Zachary Weed; Pranav Kundra; Pramod Koneru; Pratap Koritala (LOD (1), 2020)

Incorporating Fairness in Large Scale NLU Systems. - Rahul Gupta 001; Lisa Bauer; Kai-Wei Chang; Jwala Dhamala; Aram Galstyan; Palash Goyal; Qian Hu; Avni Khatri; Rohit Parimi; Charith Peris; Apurv Verma; Richard S. Zemel; et al. (WSDM, 2023)