Enhancing Fashion Recommendation System through Hybrid Deep Learning and Contextual Personalization

Crystal Darling B; Mary Shyni H

Enhancing Fashion Recommendation System through Hybrid Deep Learning and Contextual Personalization

Author(s)	Ms. Crystal Darling B, Prof. Dr. Mary Shyni H
Country	India
Abstract	Existing fashion recommendation systems largely prioritize visual likeness, frequently neglecting critical contextual elements. These include the fluid evolution of fashion trends, the intricate details of garment attributes, and the distinct stylistic preferences of individual users. While effective for initial visual matching, these systems often fail to capture the nuanced and multifaceted nature of fashion consumption. This gap usually leads to suggestions that do not resonate with real-life style or relevance. To overcome these challenges, this paper introduces an innovative hybrid deep learning framework specifically engineered to substantially elevate the efficacy of fashion recommendations on e-commerce platforms. The proposed architecture synergistically combines robust visual features, derived from fine-tuned convolutional neural networks, with rich attribute-aware representations. It further leverages contextual personalization by employing dynamic trend-adaptive learning and individually tailored user style vectors. Moreover, our system incorporates hierarchical similarity measures and integrates explainable AI components to deliver recommendations that are not only more pertinent but also transparent in their rationale. Rigorous evaluations conducted on established fashion datasets validate the superior performance of our framework, showcasing its ability to produce highly accurate, context-sensitive, and individually tailored fashion recommendations.
Keywords	Fashion Recommendation, Deep Learning, Hybrid Models, Contextual Personalization.
Field	Engineering
Published In	Volume 8, Issue 5, September-October 2026
Published On	2026-10-07

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Enhancing Fashion Recommendation System through Hybrid Deep Learning and Contextual Personalization

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