AI Based Fashion and Outfit Recommendation System
Abstract
The AI-Based Fashion and Outfit Recommendation System is a hybrid intelligent framework that delivers personalized and context-aware outfit suggestions. The system integrates Convolutional Neural Networks (CNNs) for visual feature extraction with Collaborative Filtering to model user preferences. It analyzes clothing attributes such as color, texture, and pattern to ensure visual compatibility among garments. A contextual layer incorporating weather, location, and event type further refines recommendations. By combining visual intelligence, personalization, and contextual awareness, the system enhances user experience and promotes efficient fashion decision-making in e-commerce platforms.
Fields of Study & Subjects
Recommender Systems and Techniques
Advanced Neural Network Applications
Consumer Perception and Purchasing Behavior
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 12 February 2026
- Language
- ANG