The Engineering behind Instagram's Recommendation Algorithm
blog.quastor.org
The Engineering behind Instagram's Recommendation Algorithm
If you’re building a technology platform, making it “social” really means figuring out what the nodes, edges, and jumping functions should be. One way to do this is to work backwards. What should the experience feel like at scale? Do users care about what other people are doing on the network, or do they really care about other types of objects, li... See more
Matthew Hartman • Complexity in Social Networks
TikTok’s recommender system is not its secret: rather, it’s the design, which, of course, isn’t secret at all. More generally, in AI applications, the sophistication of the algorithm is rarely the limiting factor. The quality of the design, the data, and the people that make up the system all tend to matter more.
