Recommendation systems are based on aggregated preferences. The farther you are from an aggregate/group or the rarer your group is, the worse your recommendatio

Recommendation systems are based on aggregated preferences. The farther you are from an aggregate/group or the rarer your group is, the worse your recommendations. It's an inherent limitation. It's in essence trying to guess at missing data by comparing your past purchase patterns to known data. There's also a bootstrapping problem -- if you haven't bought enough stuff to establish a pattern, the algorithm can't really figure out what you'd want next. If you order a Rode microphone and a Sony RX cam, it might figure out that you're a Youtuber and might recommend a Zhiyun gimbal. The cluster of data points point to that. But if you have order pattern where the data is sparse, it's not likely to come up with a good recommendation.