Recommendations¶
Recommendation systems suggest relevant items to users based on their past behavior, preferences, or similarity to other users. Common approaches include collaborative filtering (user-item interactions), content-based filtering (item features), and hybrid methods that combine both.
References¶
https://blog.dkwr.de/development/calculate-similarity-of-posts/
https://blog.dkwr.de/development/better-similarities/
See also¶
Page last modified: 2026-08-31 15:31:45