SalesForce Interaction Studio Accredited Professional Interaction Studio Accredited Professional 01 31Oct2024 - Practice Quiz

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Question 1 of 30

In a retail environment, a company is utilizing machine learning algorithms to predict customer purchasing behavior based on historical data. The company has collected data on customer demographics, past purchases, and seasonal trends. They want to implement a recommendation system that not only suggests products but also adjusts its recommendations based on real-time customer interactions. Which approach would best enhance the effectiveness of their recommendation system?

Implementing a collaborative filtering algorithm that learns from user interactions and preferences over time.

Using a rule-based system that relies solely on predefined criteria for product recommendations.

Employing a static model that does not adapt to new data inputs or changing customer preferences.

Relying on a simple average of past purchases without considering individual customer behavior.

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