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Google Exam Professional Machine Learning Engineer Topic 8 Question 63 Discussion

Actual exam question for Google's Professional Machine Learning Engineer exam
Question #: 63
Topic #: 8
[All Professional Machine Learning Engineer Questions]

You are designing an ML recommendation model for shoppers on your company's ecommerce website. You will use Recommendations Al to build, test, and deploy your system. How should you develop recommendations that increase revenue while following best practices?

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Suggested Answer: A

Contribute your Thoughts:

Patria
1 months ago
I'd have to go with Trevor on this one. Building a solid data foundation is key for any successful ML project. No shortcuts allowed!
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Therese
1 months ago
Haha, using placeholder values? That's like trying to bake a cake without any actual ingredients. Definitely not the way to go.
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Ronald
7 days ago
A) Use the 'Other Products You May Like' recommendation type to increase the click-through rate
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Trevor
1 months ago
Hold up, what about option C? Ensuring a high-quality event stream is crucial for the recommendation model to work accurately. I wouldn't skip that step.
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Desirae
1 months ago
I agree with Carry. Option B is the most suitable choice to boost the average order value for each customer.
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Kanisha
4 days ago
It's important to focus on increasing the average order value for each customer.
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Janine
10 days ago
I agree, using the 'Frequently Bought Together' recommendation type can help increase the shopping cart size.
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Marleen
19 days ago
I think option B is the best choice to increase revenue.
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Carry
2 months ago
Option B seems like the best approach to increase revenue. 'Frequently Bought Together' recommendations can effectively drive upsell and cross-sell opportunities.
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I agree, using 'Frequently Bought Together' recommendations can definitely increase revenue.
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Aileen
23 hours ago
I think a combination of both approaches could be beneficial for developing the recommendation model.
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Myrtie
14 days ago
That's true, but using placeholder values for the product catalog could help test the model's viability faster.
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Tresa
16 days ago
But wouldn't importing user events and product catalog ensure the highest quality event stream for better recommendations?
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Deane
27 days ago
I agree, using 'Frequently Bought Together' recommendations can definitely increase revenue.
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Dulce
2 months ago
I'm not sure, I think we should consider option C to ensure we have the highest quality event stream.
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Nakisha
2 months ago
I agree with Eleonore, option B seems like the best choice for increasing revenue.
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Eleonore
3 months ago
I think we should use option B to increase the shopping cart size.
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