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...
Google medical researchers humbled when AI screening tool falls short in real-life testing [Devin Coldeway @TechCrunch]
Google achieved great ‘theoretical accuracy’ on the detection of diabetic retinopathy. However, in the real-world their approach didn’t perform so well. While this is not...
Building Recommender Systems, An Introductory List [Arnie B. @Flipboard]
Here is a curated collection of my favourite posts for people starting out in recommender systems and personalization. This was created in preparation for our...
How to (Not?) Plagiarize: An Example of Plagiarism by Vipul Vekariya & Gautam R. Kulkarni
Plagiarism is a phenomenon that I sometimes observe among my students and I have to admit that students can be surprisingly creative when it comes...
Survey of Privacy-Preserving Collaborative Filtering [Elnabarawy et al.]
Collaborative filtering recommendation systems provide recommendations to users based on their own past preferences, as well as those of other users who share similar interests....
Why Recommendations On Netflix, Amazon, Or WeChat Could Be More Influential Than You Think [Forbes]
“When’s the last time you saw a movie in a cinema? How about the last time you watched a movie on Netflix? If you’re like...