13 citations · 19 across the 6 of their papers we have counts for
6 papers
Learning-To-Embed: Adopting Transformer based models for E-commerce Products Representation Learning
Lakshya Kumar, Sreekanth Vempati
Learning low-dimensional representation for large number of products present in an e-commerce catalogue plays a vital role as they are helpful in tasks like product ranking, produc…
Fine-Grained Session Recommendations in E-commerce using Deep Reinforcement Learning
Diddigi Raghu Ram Bharadwaj, Lakshya Kumar, Saif Jawaid +1
Sustaining users' interest and keeping them engaged in the platform is very important for the success of an e-commerce business. A session encompasses different activities of a use…
ListBERT: Learning to Rank E-commerce products with Listwise BERT
Lakshya Kumar, Sagnik Sarkar
Efficient search is a critical component for an e-commerce platform with an innumerable number of products. Every day millions of users search for products pertaining to their need…
Neural Search: Learning Query and Product Representations in Fashion E-commerce
Lakshya Kumar, Sagnik Sarkar
Typical e-commerce platforms contain millions of products in the catalog. Users visit these platforms and enter search queries to retrieve their desired products. Therefore, showin…
Deep Contextual Embeddings for Address Classification in E-commerce
Shreyas Mangalgi, Lakshya Kumar, Ravindra Babu Tallamraju
E-commerce customers in developing nations like India tend to follow no fixed format while entering shipping addresses. Parsing such addresses is challenging because of a lack of i…
"Having 2 hours to write a paper is fun!": Detecting Sarcasm in Numerical Portions of Text
Lakshya Kumar, Arpan Somani, Pushpak Bhattacharyya
Sarcasm occurring due to the presence of numerical portions in text has been quoted as an error made by automatic sarcasm detection approaches in the past. We present a first study…