Designing a restaurant-recommendation engine for a social app.

What business goal and engagement metrics would you track for restaurant recommendations? Which behavioral, demographic and social features would you include in the model and why? Which model would you choose? Explain why logistic regression may be appropriate. How would you evaluate whether the logistic-regression model is accurate? Define precision, recall and accuracy, give their formulas, and explain which you would prioritize here.

Define target clearly, discuss feature–label alignment, and link evaluation metric to business goal.

Meta Data Scientist interview question: Develop a Restaurant-Recommendation Engine with Logistic Regression. {"blocks": [{"key": "c25698fc", "text": "Scenario", "type": "header-two", "depth": 0, "inlineStyleRanges": [], "entityRanges": [], "data": {...