JD Tech
Feb 12, 2019 · Artificial Intelligence
Content‑Based Filtering: Concepts, Implementation, and Pros/Cons
The article explains content‑based filtering for recommendation systems, covering its basic concepts, feature requirements, implementation using vector representations and cosine similarity, advantages and disadvantages, and supplementary algorithms such as k‑Nearest Neighbor, Rocchio, decision trees, linear classifiers, and Naive Bayes.
Naive BayesRocchiocontent-based filtering
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