A review of explainable fashion compatibility modeling methods

What is it about?

The paper reviews methods used in the fashion compatibility recommendation domain. The paper selects methods based on reproducibility, explainability, and novelty aspects, and organizes them chronologically and thematically. It also presents general characteristics of publicly available datasets related to the fashion compatibility recommendation task, analyzes the representation bias of datasets, fashion-based algorithms' sustainability, and explainable model assessment.

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Photo by Alyssa Strohmann on Unsplash

Photo by Alyssa Strohmann on Unsplash

Why is it important?

The paper provides practical problem explanations, methodologies, and published datasets that may serve as an inspiration for further research. The proposed structure of the survey organizes knowledge in the fashion recommendation domain and will be beneficial for those who want to learn the topic from scratch, expand their knowledge, or find a new field for research. Overall, the paper could be a valuable resource for researchers, practitioners interested in the fashion compatibility recommendation domain.