A survey on accuracy-oriented neural recommendation: From collaborative filtering to information-rich recommendation
Influenced by the great success of deep learning in computer vision and language
understanding, research in recommendation has shifted to inventing new recommender …
understanding, research in recommendation has shifted to inventing new recommender …
A review of modern fashion recommender systems
The textile and apparel industries have grown tremendously over the past few years.
Customers no longer have to visit many stores, stand in long queues, or try on garments in …
Customers no longer have to visit many stores, stand in long queues, or try on garments in …
Contrastive learning for cold-start recommendation
Recommending purely cold-start items is a long-standing and fundamental challenge in the
recommender systems. Without any historical interaction on cold-start items, the …
recommender systems. Without any historical interaction on cold-start items, the …
Neural graph collaborative filtering
Learning vector representations (aka. embeddings) of users and items lies at the core of
modern recommender systems. Ranging from early matrix factorization to recently emerged …
modern recommender systems. Ranging from early matrix factorization to recently emerged …
3d-future: 3d furniture shape with texture
The 3D CAD shapes in current 3D benchmarks are mostly collected from online model
repositories. Thus, they typically have insufficient geometric details and less informative …
repositories. Thus, they typically have insufficient geometric details and less informative …