Explainable recommendation: A survey and new perspectives
Explainable recommendation attempts to develop models that generate not only high-quality
recommendations but also intuitive explanations. The explanations may either be post-hoc …
recommendations but also intuitive explanations. The explanations may either be post-hoc …
Multimodal recommender systems: A survey
The recommender system (RS) has been an integral toolkit of online services. They are
equipped with various deep learning techniques to model user preference based on …
equipped with various deep learning techniques to model user preference based on …
A survey on trustworthy recommender systems
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …
deployed in almost every corner of the web and facilitate the human decision-making …
Personalized fashion recommendation with visual explanations based on multimodal attention network: Towards visually explainable recommendation
Fashion recommendation has attracted increasing attention from both industry and
academic communities. This paper proposes a novel neural architecture for fashion …
academic communities. This paper proposes a novel neural architecture for fashion …
Customer models for artificial intelligence-based decision support in fashion online retail supply chains
Fashion is a global, multi-trillion dollar industry devoted to producing and selling clothing,
footwear, and accessories to individuals or groups of people. Its sheer numbers, together …
footwear, and accessories to individuals or groups of people. Its sheer numbers, together …
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 …
[HTML][HTML] Futures of artificial intelligence through technology readiness levels
Artificial Intelligence (AI) offers the potential to transform our lives in radical ways. However,
the main unanswered questions about this foreseen transformation are its depth, breadth …
the main unanswered questions about this foreseen transformation are its depth, breadth …
A comprehensive survey on trustworthy recommender systems
As one of the most successful AI-powered applications, recommender systems aim to help
people make appropriate decisions in an effective and efficient way, by providing …
people make appropriate decisions in an effective and efficient way, by providing …
Computational technologies for fashion recommendation: A survey
Fashion recommendation is a key research field in computational fashion research and has
attracted considerable interest in the computer vision, multimedia, and information retrieval …
attracted considerable interest in the computer vision, multimedia, and information retrieval …
Dual learning for explainable recommendation: Towards unifying user preference prediction and review generation
In many recommender systems, users express item opinions through two kinds of behaviors:
giving preferences and writing detailed reviews. As both kinds of behaviors reflect users' …
giving preferences and writing detailed reviews. As both kinds of behaviors reflect users' …