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Explain What Is Collaborative Filtering? |
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Answer» Collaborative filtering is a simple ALGORITHM to CREATE a recommendation system based on user behavioral data. The most important components of collaborative filtering are users- items- INTEREST. A good example of collaborative filtering is when you SEE a statement LIKE “recommended for you” on online shopping sites that’s pops out based on your browsing history. Collaborative filtering is a simple algorithm to create a recommendation system based on user behavioral data. The most important components of collaborative filtering are users- items- interest. A good example of collaborative filtering is when you see a statement like “recommended for you” on online shopping sites that’s pops out based on your browsing history. |
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