Recommender systems are paramount for e-business companies. There is an increasing need to take into account all the user information to tailor the best product proposition. One of them is the content that the user actually sees: the visual of the product.
When it comes to hostels, some people can be more attracted by pictures of the room, the building or even the nearby beach.
In this talk, we will describe how we improved an e-business vacation retailer recommender system using the content of images. We’ll explain how to leverage open dataset and pre-trained deep learning models to derive user taste information. This transfer learning approach enables companies to use state of the art machine learning methods without having deep learning expertise.