Is there an overview over recommender system architectures? I want to learn more about the recommender system topic.
I am very interested in the usage of different database systems for this use case.
My problem is that I cannot find a good overview of different architectures of recommender systems, especially with the focus on the database part.
Can someone help me out with a good reference or some own thoughts?
Thanks a lot. As interesting as this topic is for me as hard it seems to get some concrete information about it.
A great source is the personal page of Xavier Amatriain (former Head of Engineering at Netflix and Quora). There are several links at publications detailing the system and architecture of recommender systems. In particular you could take a look at this Building industrial-scale real-world recommender systems, there is also this talk Lessons Learned from Building Real­-Life Recommender Systems and this blog post System Architectures for Personalization and Recommendation