most citedEarly Bird Catches the Worm: Predicting Returns Even Before Purchase in Fashion E-commerce

11 citations · 39 across the 6 of their papers we have counts for

collaborators

6 papers

cs.IR2019★ 2 cited

Learning to Rank Broad and Narrow Queries in E-Commerce

Siddhartha Devapujula, Sagar Arora, Sumit Borar

Search is a prominent channel for discovering products on an e-commerce platform. Ranking products retrieved from search becomes crucial to address customer's need and optimize for…

cs.LG2019★ 11 cited

Early Bird Catches the Worm: Predicting Returns Even Before Purchase in Fashion E-commerce

Sajan Kedia, Manchit Madan, Sumit Borar

With the rapid growth in fashion e-commerce and customer-friendly product return policies, the cost to handle returned products has become a significant challenge. E-tailers incur…

cs.LG2019★ 6 cited

One Embedding To Do Them All

Loveperteek Singh, Shreya Singh, Sagar Arora +1

Online shopping caters to the needs of millions of users daily. Search, recommendations, personalization have become essential building blocks for serving customer needs. Efficacy…

cs.CV2018

Utility in Fashion with implicit feedback

Vikram Garg, Girish Sathyanarayana, Sumit Borar +1

Fashion preference is a fuzzy concept that depends on customer taste, prevailing norms in fashion product/style, henceforth used interchangeably, and a customer's perception of uti…

cs.IR2018★ 11 cited

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.…

cs.IR2018★ 9 cited

Footwear Size Recommendation System

Shreya Singh, G Mohammed Abdulla, Sumit Borar +1

While shopping for fashion products, customers usually prefer to try-out products to examine fit, material, overall look and feel. Due to lack of try out options during online shop…