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How do neural networks contribute to personalized recommendations in e-commerce?
How do neural networks contribute to personalized recommendations in e-commerce?
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Practice Questions
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How do neural networks contribute to personalized recommendations in e-commerce?
By storing user data
By analyzing user behavior and preferences
By managing inventory
By processing payments
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Neural networks analyze user behavior and preferences to provide personalized product recommendations in e-commerce.
Questions & Step-by-step Solutions
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Q: How do neural networks contribute to personalized recommendations in e-commerce?
Solution:
Neural networks analyze user behavior and preferences to provide personalized product recommendations in e-commerce.
Steps: 5
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Step 1: Collect data on user behavior, such as what products they view, click on, and purchase.
Step 2: Use this data to train a neural network, which is a type of computer program that learns patterns from data.
Step 3: The neural network identifies preferences and trends in the user's behavior.
Step 4: Based on the learned patterns, the neural network predicts which products the user might like.
Step 5: The e-commerce platform then shows personalized product recommendations to the user.
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