Databricks
DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST · Question #80
DATABRICKS-CERTIFIED-PROFESSIONAL-DATA-SCIENTIST Question #80: Real Exam Question with Answer & Explanation
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Question
You are designing a recommendation engine for a website where the ability to generate more personalized recommendations by analyzing information from the past activity of a specific user, or the history of other users deemed to be of similar taste to a given user. These resources are used as user profiling and helps the site recommend content on a user-by-user basis. The more a given user makes use of the system, the better the recommendations become, as the system gains data to improve its model of that user. What kind of this recommendation engine is ?
Options
- ANaive Bayes classifier
- BCollaborative filtering
- CLogistic Regression
- DContent-based filtering
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