Jairaj Sathyanarayana

According to our database, Jairaj Sathyanarayana authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

New User Product Recommendation for Q-commerce via Hierarchical Cross-Domain Learning.

Bhavi Chawla, Shubha Shedthikere, Jairaj Sathyanarayana

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

Improving search relevance in a hyperlocal food delivery using language models.

Aditya Kiran Brahma, Srinivas Nagamalla, Jose Mathew, Jairaj Sathyanarayana

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

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, Jairaj Sathyanarayana

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

2022

A Multi-modal Approach to Mining Intent from Code-Mixed Hindi-English Calls in the Hyperlocal-Delivery Domain.

Jose Mathew, Pranjal Sahu, Bhavuk Singhal, Aniket Joshi, Krishna Reddy Medikonda, Jairaj Sathyanarayana

Proceedings of the Speech and Computer - 24th International Conference, 2022

FoodNet: Simplifying Online Food Ordering with Contextual Food Combos.

Rutvik Vijjali, Deepesh Bhageria, Ashay Tamhane, Mithun T. M, Jairaj Sathyanarayana

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Identifying Fraud Rings Using Domain Aware Weighted Community Detection.

Shaik Masihullah, Meghana Negi, Jose Mathew, Jairaj Sathyanarayana

Proceedings of the Machine Learning and Knowledge Extraction, 2022

2021

DeFraudNet: An End-to-End Weak Supervision Framework to Detect Fraud in Online Food Delivery.

Jose Mathew, Meghana Negi, Rutvik Vijjali, Jairaj Sathyanarayana

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track, 2021

2020

Sample-Rank: Weak Multi-Objective Recommendations Using Rejection Sampling.

Abhay Shukla, Jairaj Sathyanarayana, Dipyaman Banerjee

Proceedings of the 20th International Conference on Data Mining Workshops, 2020