Abstract: This paper presents a scalable and interpretable recommender system architecture that uses a property graph model implemented in Neo4j to generate personalized product recommendations. By ...

What if you could transform overwhelming, disconnected datasets into a living, breathing map of relationships, one that not only organizes your data but also reveals insights you didn’t even know you ...

Facebook's vice president of product, Jagjit Chawla, talks about how the platform treats AI-generated content and how you can see less of it. Katelyn is a writer with CNET covering artificial ...

An exclusive excerpt from Every Screen On The Planet reveals how the social media app’s powerful recommendation engine was shaped by a bunch of ordinary, twentysomething curators—including a guy named ...

Neil is a freelance tech journalist with 20 years of experience in IT. He’s the host of the popular Tech Talks Daily Podcast, picking up… Enterprise data teams have been wrestling with the complexity ...

Words like "rizz" and "skibidi" didn’t exist just a few years ago, but now they’re used and understood by millions of people. In his new book, Algospeak, linguist and content creator Adam Aleksic ...

Adam Aleksic has somehow managed to make linguistics cool. His rapid-fire videos have attracted an audience of millions across the social media universe. A Harvard graduate with a linguistics degree, ...

There was a time when every reader's bookshelf had its own personality. People often discovered new books simply by talking to other fellow readers. Western books were hard to come by, and for people ...

On Sunday, the Chicago Sun-Times published an advertorial summer reading list containing at least 10 fake books attributed to real authors, according to multiple reports on social media. The newspaper ...