Seller-side Outcome Fairness in Online Marketplaces

no code implementations • 6 Dec 2023 • Zikun Ye, Reza Yousefi Maragheh, Lalitesh Morishetti, Shanu Vashishtha, Jason Cho, Kaushiki Nag, Sushant Kumar, Kannan Achan

This paper aims to investigate and achieve seller-side fairness within online marketplaces, where many sellers and their items are not sufficiently exposed to customers in an e-commerce platform.

Fairness

LLM-TAKE: Theme Aware Keyword Extraction Using Large Language Models

no code implementations • 1 Dec 2023 • Reza Yousefi Maragheh, Chenhao Fang, Charan Chand Irugu, Parth Parikh, Jason Cho, Jianpeng Xu, Saranyan Sukumar, Malay Patel, Evren Korpeoglu, Sushant Kumar, Kannan Achan

We call our LLM-based framework Theme-Aware Keyword Extraction (LLM TAKE).

Keyword Extraction

GNN-GMVO: Graph Neural Networks for Optimizing Gross Merchandise Value in Similar Item Recommendation

no code implementations • 26 Oct 2023 • Ramin Giahi, Reza Yousefi Maragheh, Nima Farrokhsiar, Jianpeng Xu, Jason Cho, Evren Korpeoglu, Sushant Kumar, Kannan Achan

Similar item recommendation is a critical task in the e-Commerce industry, which helps customers explore similar and relevant alternatives based on their interested products.

Knowledge-aware Complementary Product Representation Learning

no code implementations • 16 Mar 2019 • Da Xu, Chuanwei Ruan, Jason Cho, Evren Korpeoglu, Sushant Kumar, Kannan Achan

Standard usage of representation learning emphasizes on only one set of embedding, which is problematic for modelling such properties of complementariness.

Multi-Task Learning Recommendation Systems +1