15 citations · 57 across the 7 of their papers we have counts for
9 papers
Style Conditioned Recommendations
Murium Iqbal, Kamelia Aryafar, Timothy Anderton
We propose Style Conditioned Recommendations (SCR) and introduce style injection as a method to diversify recommendations. We use Conditional Variational Autoencoder (CVAE) archite…
Production Ranking Systems: A Review
Murium Iqbal, Nishan Subedi, Kamelia Aryafar
The problem of ranking is a multi-billion dollar problem. In this paper we present an overview of several production quality ranking systems. We show that due to conflicting goals…
A Multimodal Recommender System for Large-scale Assortment Generation in E-commerce
Murium Iqbal, Adair Kovac, Kamelia Aryafar
E-commerce platforms surface interesting products largely through product recommendations that capture users' styles and aesthetic preferences. Curating recommendations as a comple…
Discovering Style Trends through Deep Visually Aware Latent Item Embeddings
Murium Iqbal, Adair Kovac, Kamelia Aryafar
In this paper, we explore Latent Dirichlet Allocation (LDA) and Polylingual Latent Dirichlet Allocation (PolyLDA), as a means to discover trending styles in Overstock from deep vis…
An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy
Kamelia Aryafar, Devin Guillory, Liangjie Hong
Etsy is a global marketplace where people across the world connect to make, buy and sell unique goods. Sellers at Etsy can promote their product listings via advertising campaigns…
Neural Networks with Manifold Learning for Diabetic Retinopathy Detection
Arjun Raj Rajanna, Kamelia Aryafar, Rajeev Ramchandran +3
Widespread outreach programs using remote retinal imaging have proven to decrease the risk from diabetic retinopathy, the leading cause of blindness in the US. However, this proces…
Item Popularity Prediction in E-commerce Using Image Quality Feature Vectors
Stephen Zakrewsky, Kamelia Aryafar, Ali Shokoufandeh
Online retail is a visual experience- Shoppers often use images as first order information to decide if an item matches their personal style. Image characteristics such as color, s…
Road Detection through Supervised Classification
Yasamin Alkhorshid, Kamelia Aryafar, Sven Bauer +1
Autonomous driving is a rapidly evolving technology. Autonomous vehicles are capable of sensing their environment and navigating without human input through sensory information suc…
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank
Corey Lynch, Kamelia Aryafar, Josh Attenberg
Search is at the heart of modern e-commerce. As a result, the task of ranking search results automatically (learning to rank) is a multibillion dollar machine learning problem. Tra…