‘Papers with Code’ / NeurIPS Guidelines for Publishing Research Code: A Role Model For 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?...
How Do Product Attributes and Reviews Moderate the Impact of Recommender Systems Through Purchase Stages? [Dokyun Lee & Kartik Hosanagar]
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...
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,...