Feb 16
Master building scalable course recommendation engines for EdTech. Step-by-step guide with code, tools, and optimisation for devs and busine
seen from United States
seen from United States
seen from United States
seen from United States
seen from United States
seen from Malaysia
seen from United States
seen from Russia
seen from Malaysia
seen from China
seen from United States
seen from Russia
seen from United States
seen from United States
seen from United States
seen from Malaysia
seen from United States
seen from Netherlands
seen from United States
seen from United States
Master building scalable course recommendation engines for EdTech. Step-by-step guide with code, tools, and optimisation for devs and busine
We zoom in on the process of building a recommendation system and share common challenges you may encounter on the way, accompanied by field
AI-driven Recommendation Engines for E-commerce: Unlocking Personalized Shopping Experiences
In today’s digital era, e-commerce has revolutionized the way we shop. With millions of products available at our fingertips, finding the right item can be overwhelming. That’s where AI-driven recommendation engines come into play. These intelligent systems analyze vast amounts of data to provide personalized product recommendations, enhancing the shopping experience for consumers and boosting…
View On WordPress
Review: The Chaos Machine
Review: The Chaos Machine
The Chaos Machine, Max Fisher. New York: Little, Brown, and Company, 2022. Summary: A deep dive into how social media has rewired our minds and fueled social divisions. If the events of the past years have not already done so, this book should give you pause about any of the social media platforms you use regularly. It did so for me. Max Fisher looks at phenomena as diverse as the genocide of…
View On WordPress
“If You Like David Bowie”
Sure, these recommendations make total sense
The toxic potential of YouTube's feedback loop
The toxic potential of YouTube’s feedback loop
Guillaume Chaslot for Wired:
From 2010 to 2011, I worked on YouTube’s artificial intelligence recommendation engine — the algorithm that directs what you see next based on your previous viewing habits and searches. One of my main tasks was to increase the amount of time people spent on YouTube. At the time, this pursuit seemed harmless. But nearly a decade later, I can see that our work had…
View On WordPress
Save recruiters’ time by intelligent candidate sourcing and candidate matching
http://blog.harbinger-systems.com/2018/03/save-recruiters-time-by-intelligent-candidate-sourcing-and-candidate-matching/
IEEE Computer Society Digital Library