The Ultimate Guide to Natural Language Processing Courses [Airev.us]
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: An open source neural recommender library [Bin Wu et al.]
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...
A Survey on Conversational Recommender Systems [Jannach et al.]
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...
Build a Recommender System in less than 60 minutes with ‘Amazon Personalize’ [Shivek Sachdev@Medium]
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...
‘Codespaces’: GitHub Offers Code Hosting for Recommender System Development (and other Software Projects)
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....
An NLU-Powered Tool to Explore COVID-19 Scientific Literature [Google AI]
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...
It’s No Joke: Recommender System Beats Humans At Making You Laugh [Michael Yeomans et al. / Diana Gerdeman @ Forbes]
Michael Yeomans et al. published already in October 2019 the paper Making Sense of Recommendations but I just stumbled upon it today, when Dina Gerdeman...
A Case For Embeddings in Recommendation Problems [Arnab Bhadury]
Once you have worked on different machine learning problems, most things in the field start to feel very similar. You take your raw input data,...
New Book: “Trustworthy Online Controlled Experiments — A Practical Guide to A/B Testing”
The recommender-system (research) community heavily relies on offline evaluations. While I personally always advocated the use of large-scale online studies and A/B tests, conducting these...
Why are there no continental chapters of the ACM Conference on Recommender Systems? E.g. the Asian or European Conference on Recommender Systems (RecSysAsia / RecSysEU)?
The number of submissions and participants at the ACM Conference on Recommender Systems is increasing, year by year. Sometimes, the conference is even sold out...