Deep Ranking for Style-Aware Room Recommendations (Student Abstract)

  • İlkay Yıldız Northeastern University
  • Esra Ataer-Cansızoğlu Wayfair LLC
  • Hantian Liu Wayfair LLC
  • Peter Golbus Wayfair LLC
  • Ozan Tezcan Boston University
  • Jae-Woo Choi Wayfair LLC

Abstract

We present a deep learning based room image retrieval framework that is based on style understanding. Given a dataset of room images labeled by interior design experts, we map the noisy style labels to comparison labels. Our framework learns the style spectrum of each image from the generated comparisons and makes significantly more accurate recommendations compared to discrete classification baselines.

Published
2020-04-03
Section
Student Abstract Track