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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: 2026-04-06 20:35:09