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Found 4 papers, 1 papers with code
Learning to Rank Broad and Narrow Queries in E-Commerce
Search is a prominent channel for discovering products on an e-commerce platform.
One Embedding To Do Them All
In this paper, we propose a framework to combine multiple data sources and learn unified embeddings for products on our e-commerce platform.
Early Bird Catches the Worm: Predicting Returns Even Before Purchase in Fashion E-commerce
Users' taste & products' latent hidden features were captured using product embeddings based on Bayesian Personalized Ranking (BPR).
Personalizing Similar Product Recommendations in Fashion E-commerce
Similar product recommendations is one of the popular modes using which users find products that resonate with their intent.
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