11 citations · 14 across the 6 of their papers we have counts for
6 papers
Diversify and Conquer: Bandits and Diversity for an Enhanced E-commerce Homepage Experience
Sangeet Jaiswal, Korah T Malayil, Saif Jawaid +1
In the realm of e-commerce, popular platforms utilize widgets to recommend advertisements and products to their users. However, the prevalence of mobile device usage on these platf…
Product Review Image Ranking for Fashion E-commerce
Sangeet Jaiswal, Dhruv Patel, Sreekanth Vempati +1
In a fashion e-commerce platform where customers can't physically examine the products on their own, being able to see other customers' text and image reviews of the product is cri…
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…
Enabling Hyper-Personalisation: Automated Ad Creative Generation and Ranking for Fashion e-Commerce
Sreekanth Vempati, Korah T Malayil, Sruthi V +1
Homepage is the first touch point in the customer's journey and is one of the prominent channels of revenue for many e-commerce companies. A user's attention is mostly captured by…
Personalizing Similar Product Recommendations in Fashion E-commerce
Pankaj Agarwal, Sreekanth Vempati, Sumit Borar
In fashion e-commerce platforms, product discovery is one of the key components of a good user experience. There are numerous ways using which people find the products they desire.…