Recommender systems drive every action that you take online, from the selection of this web page that you’re reading now to more obvious examples like...

Recommender-Systems.com (RC_c) is our attempt to build a central platform for the RecSys community. Our goal is to provide information and resources relating to recommender-systems...

The recommender-system community is facing a reproducibility crisis. This has recently been demonstrated by the authors of the paper Are we really making much progress?...

An interesting study on the impact of recommender systems in e-Commerce. While, on average, views, conversion|views, and final conversion rates varied by 15.3%, 21.6%, and...

Natural Language Processing (NLP) is a crucial element for the development of many recommender systems. Most recommender systems text-books and online courses cover NLP only...

NeuRec is a comprehensive and flexible Python library for recommender systems that includes a large range of state-of-the-art neural recommender models. This library aims to solve...

Recommender systems are software applications that help users to find items of interest in situations of information overload. Current research often assumes a one-shot interaction...

Shivek Sachdev wrote a tutorial on how to build a recommender-system with ‘Amazon Personalize’. Bad times! Ever since the Thai government has declared state of...

Developing recommender-systems takes a lot of time and is usually a collaborative effort including software architectures, software and machine learning engineers, software testers and researchers....

Not exactly a recommender system but more a search engine. Yet, this new tool by Google might be interesting to some in the recommender system...