2 papers
cs.IR2018
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…
cs.CV2018
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…