Techtiefen: Recommender Systems (German Podcast by Heise)
Heise Online, Germany’s probably best IT magazine, introduced a podcast series “Techtiefen” “for nerds from nerds”, already a while go. In its most recent episode,...
Scalable Recommender Systems with NVTabular- A Fast Tabular Data Loading and Transformation Library [Ronay Ak @ Medium]
Ronay Ak et al. from RapidsAI wrote a nice in-depth post on how to use NVIDIA´s NVTabular to develop a recommender system that works with...
RecSys Wiki is back online
After a bit more than 2 years of downtime, RecSys Wiki is back online. RecSys Wiki was established in 2011 by Alan Said (and others?)...
Typewise taps 1m to build an offline next-word prediction-engine [Natasha Lomas @TechCrunch]
While really handy, recommendation systems for (next) word prediction are quite a niche, and I am not sure if there has ever been a research...
Adobe tests an AI recommendation tool for headlines and images [Anthony Ha @ TechCrunch]
Team members at Adobe have built a new way to use artificial intelligence to automatically personalize a blog for different visitors. This tool was built...
Google´s SmartReply comes to YouTube [Rami Al-Rfou @ Google AI Blog]
Google´s SmartReply is a handy feature in Gmail and some other applications, and it can be seen as a recommender system for sentence completion. Now,...
Building Personal Recommender Systems with Milvus and PaddlePaddle [Milvus@Medium]
In this article we use PaddlePaddle, a deep learning platform from Baidu, to build a model and combine Milvus, a vector similarity search engine, to...
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...