https://www.khanacademy.org/computing/intro-to-python-fundamentals/x5279a44ae0ab15d6:designing-algorithms-with-conditionals/x5279a44ae0ab15d6:making-recommendations/a/instructions-recommendation-engine 2025-11-07T01:20:42.481863618Z Instructions: Recommendation engine Apply conditionals to design a recommendation algorithm for a category of your choice. These instructions accompany the Recommendation engine project. article https://www.khanacademy.org/computing/intro-to-python-fundamentals/x5279a44ae0ab15d6:designing-algorithms-with-conditionals/x5279a44ae0ab15d6:making-recommendations/pp/recommendation-engine 2023-12-07T21:47:16.767994537Z Project: Recommendation engine #### Recommend a course See [Instructions: Recommendation engine](/computing/intro-to-python-fundamentals/x5279a44ae0ab15d6:designing-algorithms-with-conditionals/x5279a44ae0ab15d6:making-recommendations/a/instructions-recommendation-engine). 1. Choose at least five possible items to recommend within a category. 2. Create a variable for each item. 3. Use the `input()` function to ask the user for at least three attributes or preferences. 4. Use conditionals to select a recommendation from among your variables based on the user’s answers. Your algorithm should include at least two compound conditions, chained conditionals, or nested conditionals. We’ve started an algorithm that recommends Khan Academy courses. You can choose a different category and rewrite the program, or you can extend the existing program. What assumptions does your algorithm make? project