The Architecture Used at LinkedIn to Improve Feature Management in Machine Learning Models [Jesus Rodriguez@Medium]
The scale of the machine learning problems that an organization like LinkedIn deals with results incomprehensible for data scientists. Building an maintaining a single, effective...
Deadline for Demo Submissions to the ACM RecSys Conference Extended by 2 Weeks to the 22nd of June
The ACM Conference on Recommender Systems extends its deadline for Demo submissions to the 22nd of June. We have updated our conference calendar accordingly....
IBM gets out of facial recognition business, calls on Congress to advance policies tackling racial injustice [Lauren Hirsch @ CNBC]
Face recognition is a potentially interesting technique for recommender systems (e.g. 1, 2, 3, 4). However, IBM decided now to stop all facial recognition business...
Why is there no ‘International Journal on Recommender Systems’?
The data mining community has it, the information retrieval community has it, and the machine learning & AI community has it: (top) journals. It seems...
Dataset search: a survey [Chapman et al. 2020]
Finding recommender-system datasets is a challenge. The survey by Chapman et al. may help by providing a thorough overview of dataset search engines for all...
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...