Identifying Controversial Pairs in Item-to-Item Recommendations

*= Equal Contributors Recommendation systems in large-scale online marketplaces are essential to aiding users in discovering new content. However, state-of-the-art systems for item-to-item recommendation tasks are often based on a shallow level of contextual relevance, which can make the system insufficient for tasks where item relationships are more nuanced. Contextually relevant item pairs can sometimes …

Kubernetes And Kernel Panics

How Netflix’s Container Platform Connects Linux Kernel Panics to Kubernetes Pods By Kyle Anderson With a recent effort to reduce customer (engineers, not end users) pain on our container platform Titus, I started investigating “orphaned” pods. There are pods that never got to finish and had to be garbage collected with no real satisfactory final status. …

Unified Endpoint Management vs. device lifecycle management: what do they have in common?

It is a new day for James, a new IT administrator. Today, he has to figure out an order for a whole batch of mobile devices for his colleagues, who have chosen both iOS and Android smartphones. He needs to activate the device lifecycle program and do all the deployment and endpoint security tasks afterward. …

hero 1

Audioplethysmography for cardiac monitoring with hearable devices

Posted by Xiaoran “Van” Fan, Experimental Scientist, and Trausti Thormundsson, Director, Google The market for true wireless stereo (TWS) active noise canceling (ANC) hearables (headphones and earbuds) has been soaring in recent years, and the global shipment volume will nearly double that of smart wristbands and watches in 2023. The on-head time for hearables has …

ml 15601 image001 new

Elevate your marketing solutions with Amazon Personalize and generative AI

Generative artificial intelligence is transforming how enterprises do business. Organizations are using AI to improve data-driven decisions, enhance omnichannel experiences, and drive next-generation product development. Enterprises are using generative AI specifically to power their marketing efforts through emails, push notifications, and other outbound communication channels. Gartner predicts that “by 2025, 30% of outbound marketing messages …

K-Means Clustering in OpenCV and Application for Color Quantization

The k-means clustering algorithm is an unsupervised machine learning technique that seeks to group similar data into distinct clusters, with the aim of uncovering patterns in the data that may not be apparent to the naked eye.  It is possibly the most widely known algorithm for data clustering, and it comes implemented in the OpenCV …