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...
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...
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...
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...
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...