Personalised Fashion Recommendation using Deep Learning.

Clothing we wear reveals our personal style - wealth, occupation, religion, location and socio-identity. Shopper's aesthetic preferences thus influence purchasing decision in a lifestyle marketplace. Given the image of a fashion item, recommending complementary matches is a challenge. This tutorial discusses various techniques for fashion recommendation which in turn enhance conventional data mining approaches like collaborative filtering and matrix factorization. For a few such models and methods, we outline results using real-world data from various online shopping platforms. Recent advances in deep learning are presented for compatibility modeling, learning-to-rank and explainable recommendation.