Explainable recommendation: A survey and new perspectives

Y Zhang, X Chen - Foundations and Trends® in Information …, 2020 - nowpublishers.com
Explainable recommendation attempts to develop models that generate not only high-quality
recommendations but also intuitive explanations. The explanations may either be post-hoc …

Multimodal recommender systems: A survey

Q Liu, J Hu, Y **ao, X Zhao, J Gao, W Wang… - ACM Computing …, 2024 - dl.acm.org
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 …

A survey on trustworthy recommender systems

Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y **an… - ACM Transactions on …, 2024 - dl.acm.org
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 …

Personalized fashion recommendation with visual explanations based on multimodal attention network: Towards visually explainable recommendation

X Chen, H Chen, H Xu, Y Zhang, Y Cao, Z Qin… - Proceedings of the 42nd …, 2019 - dl.acm.org
Fashion recommendation has attracted increasing attention from both industry and
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

AM Pereira, JAB Moura, EDB Costa, T Vieira… - Decision Support …, 2022 - Elsevier
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 …

A review of modern fashion recommender systems

Y Deldjoo, F Nazary, A Ramisa, J Mcauley… - ACM Computing …, 2023 - dl.acm.org
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 …

[HTML][HTML] Futures of artificial intelligence through technology readiness levels

F Martínez-Plumed, E Gómez… - Telematics and …, 2021 - Elsevier
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 …

A comprehensive survey on trustworthy recommender systems

W Fan, X Zhao, X Chen, J Su, J Gao, L Wang… - arxiv preprint arxiv …, 2022 - arxiv.org
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 …

Computational technologies for fashion recommendation: A survey

Y Ding, Z Lai, PY Mok, TS Chua - ACM Computing Surveys, 2023 - dl.acm.org
Fashion recommendation is a key research field in computational fashion research and has
attracted considerable interest in the computer vision, multimedia, and information retrieval …

Dual learning for explainable recommendation: Towards unifying user preference prediction and review generation

P Sun, L Wu, K Zhang, Y Fu, R Hong… - Proceedings of The Web …, 2020 - dl.acm.org
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' …