The rising diversity, volume, and pace of fashion manufacturing pose a considerable
challenge in the fashion industry, making it difficult for customers to pick which product to …

This paper focuses on personalized outfit generation, aiming to generate compatible fashion
outfits catering to given users. Personalized recommendation by generating outfits of …

Learning an effective outfit-level representation is critical for predicting the compatibility of
items in an outfit, and retrieving complementary items for a partial outfit. We present a …

Predicting outfit compatibility and retrieving complementary items are critical components for
a fashion recommendation system. We present a scalable framework, OutfitTransformer, that …

For fashion outfits to be considered aesthetically pleasing, the garments that constitute them
need to be compatible in terms of visual aspects, such as style, category and color. Previous …

A large number of empirical studies on applying self-attention models in the domain of
recommender systems are based on offline evaluation and metrics computed on …

We present the history-aware transformer (HAT), a transformer-based model that uses
shoppers' purchase history to personalise outfit predictions. The aim of this work is to …

Owing to the rising standard of living, personal appearance, mainly matching clothes, is
essential to people. Because the right clothes not only can beautify their appearance directly …

The outfit generation problem involves recommending a complete outfit to a user based on
their interests. Existing approaches focus on recommending items based on anchor items or …

For fashion outfits to be considered aesthetically pleasing, the garments that constitute them
need to be compatible in terms of visual aspects, such as style, category and color. Previous …