4 papers
Report on the SIGIR 2019 Workshop on eCommerce (ECOM19)
Jon Degenhardt, Surya Kallumadi, Utkarsh Porwal +1
The SIGIR 2019 Workshop on eCommerce (ECOM19), was a full day workshop that took place on Thursday, July 25, 2019 in Paris, France. The purpose of the workshop was to serve as a pl…
Learning Image Information for eCommerce Queries
Utkarsh Porwal
Computing similarity between a query and a document is fundamental in any information retrieval system. In search engines, computing query-document similarity is an essential step…
Position Bias Estimation for Unbiased Learning-to-Rank in eCommerce Search
Grigor Aslanyan, Utkarsh Porwal
The Unbiased Learning-to-Rank framework has been recently proposed as a general approach to systematically remove biases, such as position bias, from learning-to-rank models. The m…
Credit Card Fraud Detection in e-Commerce: An Outlier Detection Approach
Utkarsh Porwal, Smruthi Mukund
Often the challenge associated with tasks like fraud and spam detection is the lack of all likely patterns needed to train suitable supervised learning models. This problem accentu…