The subject of this repository was to develop a very basic recommender engine for fashion products. For this case, the system
should recommend goods that look similar. The idea behind is very simple: if a customer is showing interest towards a specific
product by browsing its page, he may also be interested by products that are visually alike. We will implement CNNs with an
image feature extraction approach, with Keras and TensorFlow packages. The recommender engines were
based on pre-trained models: ResNet50 and VGG16.
The recommender systems are able to find similar products accurately: most of the time the retrieved products have the same purpose and look very similar. They certainly work well in terms of shapes; patterns are not always recognized.