Understand the core recommendation algorithms: when to use collaborative filtering, content-based methods, or hybrid approaches.
Collaborative filtering recommends items based on user behavior patterns — if similar users liked item X, you might too. Content-based filtering recommends items similar to what you've liked, based on item attributes. Collaborative filtering excels at serendipitous discovery but suffers from cold start; content-based works immediately but can create filter bubbles.
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