An assessment of the importance of recommender systems Most users are aware of the existence of individualized recommendations on large internet platforms, e.g. by using Amazon and noting the You might also like features. …

Basics of the internet of things To connect hardware devices with the internet seems often like a good and at first sight like a simple idea. Everyone wants to digitalize. You can monitor what your devices are doing — great. …

Implementation of a website for similar image recommendations based on convolutional neural networks in PyTorch — After creating a Python-based machine learning application you might want to get it running on a website. In this article it is explained how this can be realized with the microframework Flask for an image-based recommender system. We implement an image gallery on a website, the images can be selected…

When it comes to product owning there is no manual that guides you through the creation of successful software. You need to stay curious and eager to learn as you work with people that have their own quirks, expectations, and experiences while working on products that are unique. As product…

Full transfer learning implementation with Resnet18 — In my last article we introduced the simple logic to create recommendations for similar images within large sets based on the image content by employing transfer learning. Now let us create a prototypical implementation in Python using the pretrained Resnet18 convolutional neural network in PyTorch. …

Using features from pretrained convolutional neural networks to generate comparability — Let us solve the problem of having an unsorted, huge set of images out of which we want to find a subset of similar images. The solution results in an image-based item-item recommender system that can be used for example in online-shops. …