Comprehensive AI-generated Tutorial on Using RecBole for Recommender Systems
RecBole is a versatile, unified, and efficient library designed for prototyping and benchmarking recommender systems. Built on PyTorch, RecBole supports a variety of recommendation paradigms,...
Creating a Recommender System Prototype Using LensKit and MovieLens
LensKit is a flexible Python library for creating, testing, and evaluating recommender systems. In this tutorial, we’ll guide you step-by-step to build a recommender system...
Microsoft introduces a machine-learning lecture/tutorials
Microsoft launched a 12-week, 24-lesson curriculum for machine learning. They cover the standard topics like linear and logistic regression and clustering but also topics like...
Building a content-based music recommender-system [Amol Mavuduru @TowardsDataScience]
Amol Mavuduru wrote a tutorial on building a content-based music recommender system with Spotify data. Have you ever wondered how Spotify recommends songs and playlists...
‘Lazy Predict’ Tutorial for AutoML with scikit-learn [Eryk Lewinson]
Eryk Lewinson wrote a tutorial on how to use Lazy Predict, which is an automated machine learning (AutoML) extension by Shankar Rao Pandala for scikit-learn....
How can you build simple recommender systems with Surprise? [Amol Mavuduru]
Amol Mavuduru wrote a nice tutorial on how to build recommender systems with the Surprise Library. It should be noted, however, that Surprise is not...
A prototype of a “Similar Shoe” (Sneaker) Recommender-System with Source Code [Josh Barua]
Josh Barua created https://runningshoesforyou.com/, a recommender-system for shoe recommendations. Users can provide as input either a specific shoe model or their preferences (comfort; weight; looks;...
Techtiefen: Recommender Systems (German Podcast by Heise)
Heise Online, Germany’s probably best IT magazine, introduced a podcast series “Techtiefen” “for nerds from nerds”, already a while go. In its most recent episode,...
Scalable Recommender Systems with NVTabular- A Fast Tabular Data Loading and Transformation Library [Ronay Ak @ Medium]
Ronay Ak et al. from RapidsAI wrote a nice in-depth post on how to use NVIDIA´s NVTabular to develop a recommender system that works with...
Building Personal Recommender Systems with Milvus and PaddlePaddle [Milvus@Medium]
In this article we use PaddlePaddle, a deep learning platform from Baidu, to build a model and combine Milvus, a vector similarity search engine, to...