Style Conditioned Recommendations

no code implementations • 25 Jul 2019 • Murium Iqbal, Kamelia Aryafar, Timothy Anderton

We propose Style Conditioned Recommendations (SCR) and introduce style injection as a method to diversify recommendations.

Style Transfer

Production Ranking Systems: A Review

no code implementations • 24 Jul 2019 • Murium Iqbal, Nishan Subedi, Kamelia Aryafar

The problem of ranking is a multi-billion dollar problem.

Representation Learning

A Multimodal Recommender System for Large-scale Assortment Generation in E-commerce

no code implementations • 28 Jun 2018 • Murium Iqbal, Adair Kovac, Kamelia Aryafar

The second system extends the first by incorporating text data and applying polylingual topic modeling to infer style over both modalities.

Recommendation Systems Transfer Learning

Discovering Style Trends through Deep Visually Aware Latent Item Embeddings

no code implementations • 23 Apr 2018 • 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 visual semantic features transferred from a pretrained convolutional neural network and text-based item attributes.