Personalization & Search

AI/ML encompasses a wide range of domains and areas of interest. For me, the most fascinating ones are Personalization and Search, although I currently lack hands-on industry experience in these fields. Resources that comprehensively explain modern recommendation and search systems are scarce and often complex to navigate. In this blog post, I aim to share my learnings, breaking down intricate concepts into simpler terms and covering every key aspect of these systems.

https://blog.reachsumit.com/categories/recommender-systems/ https://github.com/eugeneyan/applied-ml https://eugeneyan.com/writing/system-design-for-discovery/ https://eugeneyan.com/writing/patterns-for-personalization/ https://eugeneyan.com/writing/system-design-for-discovery/

https://aman.ai/recsys/index.html https://engineering.fb.com/2023/08/09/ml-applications/scaling-instagram-explore-recommendations-system/ https://about.instagram.com/blog/announcements/instagram-ranking-explained https://github.com/jihoo-kim/awesome-RecSys?tab=readme-ov-file https://eugeneyan.com/writing/search-query-matching/#graph-based-adding-concepts-and-relationships