Compatibility-Aware Clothing Recommendation: From Pairwise Matching to Consistent Outfit Generation
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Keywords

Fashion Recommendation
Visual Compatibility
Personalization
Set Consistency
Negative Sampling
Explanation

Abstract

Fashion Recommendation is increasingly shaped by the need to reconcile performance with evidence quality, resource limits, and transfer across settings. This methodological synthesis evaluates modeling indirect personal compatibility while keeping outfit suggestions coherent and controllable. The corpus joins 2 focal papers with 13 independently retrieved publications confirmed at bibliographic registration or publisher level. The analysis is organized around visual compatibility, personalization, set consistency, negative sampling, and explanation. The comparison does not regard reported gains as context-free quantities, the review compares problem definitions, methodological assumptions, and validation boundaries. Across the literature, a robust inference is that advances in fashion recommendation become credible when representation, objective, and evaluation protocol are evaluated together and when uncertainty about distribution shift is reported explicitly. This organization relates method selection to decision risk and exposes recurring transfer threats, and proposes a research agenda centered on comparable baselines, sensitivity analysis, and retained provenance.

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