Advice on Reviewing for EMNLP — and ACM RecSys? [EMLP Blog]
The Conference on Empirical Methods in Natural Language Processing (EMNLP) has published a nice blog post on how to write conference reviews. It also points...
Announcing NVIDIA Merlin: An Application Framework for Deep Recommender Systems [NVIDIA Blog]
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...
Survey on the Importance and Availability of Information Around Recommender Systems
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...
‘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....