3 ms·
Arvind's making the case that the algorithm isn't particularly special and it's all about the system design which hooks users. It's definitely true that a huge
by CharlieSweeting 4y ago
Arvind's making the case that the algorithm isn't particularly special and it's all about the system design which hooks users.
It's definitely true that a huge part of their user retention isn't some magical algorithm, but they have made some genuine algorithmic/training improvements which are interesting. They published their methodology a few months ago (https://arxiv.org/abs/2209.07663 https://arxiv.org/abs/2209.07663), which wasn't referenced in the article (only an official blog post and a few reverse engineering attempts that I don't think are enough to conclude that their recommender is just run of the mill).
- mhh__ 4y agoA methodology or the methodology?
- CharlieSweeting 4y agoIt's not explicit, but I think it's reasonable to infer that publications of research from tiktok that are specific to recommender system for short form video, are "driven by observations of [their] application workloads and production environment" and are a "marked departure from other recommendations systems" contain ideas that are integrated into their products.