Sample-Rank: Weak Multi-Objective Recommendations Using Rejection Sampling. - Abhay Shukla; Jairaj Sathyanarayana; Dipyaman Banerjee (ICDM (Workshops), 2020)

DeFraudNet: An End-to-End Weak Supervision Framework to Detect Fraud in Online Food Delivery. - Jose Mathew 003; Meghana Negi; Rutvik Vijjali; Jairaj Sathyanarayana (ECML/PKDD (4), 2021)

Identifying Fraud Rings Using Domain Aware Weighted Community Detection. - Shaik Masihullah; Meghana Negi; Jose Mathew 003; Jairaj Sathyanarayana (CD-MAKE, 2022)

FoodNet: Simplifying Online Food Ordering with Contextual Food Combos. - Rutvik Vijjali; Deepesh Bhageria; Ashay Tamhane; Mithun T. M; Jairaj Sathyanarayana (COMAD/CODS, 2022)

A Multi-modal Approach to Mining Intent from Code-Mixed Hindi-English Calls in the Hyperlocal-Delivery Domain. - Jose Mathew 003; Pranjal Sahu; Bhavuk Singhal; Aniket Joshi; Krishna Reddy Medikonda; Jairaj Sathyanarayana (SPECOM, 2022)

DyCOD - Determining Cash on Delivery Limits for Real-Time E-commerce Transactions via Constrained Optimisation Modelling. - Akash Deep; Sri Charan Kattamuru; Meghana Negi; Jose Mathew 003; Jairaj Sathyanarayana (ECML/PKDD (6), 2023)

Improving search relevance in a hyperlocal food delivery using language models. - Aditya Kiran Brahma; Srinivas Nagamalla; Jose Mathew 003; Jairaj Sathyanarayana (COMAD/CODS, 2024)

New User Product Recommendation for Q-commerce via Hierarchical Cross-Domain Learning. - Bhavi Chawla; Shubha Shedthikere; Jairaj Sathyanarayana (COMAD/CODS, 2024)