12 citations · 28 across the 6 of their papers we have counts for
5 papers · 1 filter
INSPIRE: Intent-aware Neural Sponsored Product Retrieval for E-commerce
Shasvat Desai, Hong Yao, Utkarsh Porwal +1
Walmart holds the largest share of the U.S. ecommerce grocery market, where food and beverage categories generate some of the highest search traffic and, consequently, drive a subs…
Unified Supervision for Walmart's Sponsored Search Retrieval via Joint Semantic Relevance and Behavioral Engagement Modeling
Shasvat Desai, Md Omar Faruk Rokon, Jhalak Nilesh Acharya +4
Modern search systems rely on a fast first stage retriever to fetch relevant items from a massive catalog of items. Deployed search systems often use user engagement signals to sup…
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…