Fashion_Recommender

This model is a deep learning-based fashion recommender system. Its purpose is to suggest personalized clothing items to users by analyzing their preferences and interaction history. It can be used in e-commerce applications, personal styling services, or content feeds to improve user engagement and sales.

Intended Use and Limitations Intended Use This model is intended to be integrated into applications that require personalized fashion recommendations. It can be used for:

Suggesting "You might also like" items on product pages.

Personalizing a user's homepage feed.

Providing automated styling advice.

Limitations The model's performance is highly dependent on the quality and diversity of its training data.

It may not be able to recommend items outside of the styles or categories it was trained on.

The model may not be well-suited for recommending items that are not clothing or accessories.

Training Data This model was trained on a proprietary or publicly available [Fashion E-commerce Dataset] dataset. The dataset consists of millions of images of clothing items and a corresponding user interaction log (e.g., clicks, purchases, views).

Training Details Model Architecture: The model uses the ResNet50 Architecture.

Model Card Authors This model card was written by Ahmet Dokmeci.