ML Case
There are X answers to a certain question on Quora. How do you create model that takes user viewing history to rank the questions? How computationally intensive is this model?
Data Scientist
Quora
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Product Strategy
Meta
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Meta
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System Design
Amazon
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Behavioral
- There are X answers to a certain question on Quora. How do you create model that takes user viewing history to rank the questions? How computationally intensive is this model?
- I'm curious to know how you'd approach building a model that ranks Quora questions based on user viewing history. How would you balance accuracy with computational efficiency, and what tools would you use to create the model?
- If you were tasked with building a model that incorporated user viewing history to rank Quora questions, what approach would you take? How would you address any potential scaling issues, and what kind of computational resources would you need?
- I'd like to learn more about how you'd build a model that ranks Quora questions based on user viewing history. What algorithms and techniques would you use, and what kind of computing power would be required for this task?
- How would you go about building a model that incorporates user viewing history into the ranking of Quora questions? What kind of data would you use to train the model, and how would you ensure its accuracy?
- What steps would you take to create a model that ranks Quora questions based on user viewing history? How would you optimize the model for accuracy and speed, and what kind of hardware or software would you use to accomplish this?
- I'm interested in your approach to building a model that incorporates user viewing history to rank Quora questions. How would you validate the model's accuracy, and what kind of computational resources would be required to handle the data?
- Can you walk me through how you'd build a model that takes user viewing history into account when ranking Quora questions? How would you avoid potential overfitting or bias in the model, and what tools or frameworks would you use to build it?
- How would you approach building a model that ranks Quora questions based on user viewing history? What kind of data preprocessing or feature engineering would be required, and how would you optimize the model for performance?
- If you were tasked with building a model that incorporates user viewing history to rank Quora questions, what steps would you take to ensure its accuracy and reliability? How would you address any potential limitations in the data or algorithms used in the model?
- Could you elaborate on how you'd build a model that incorporates user viewing history to rank questions on Quora? What measures would you use to ensure the model's accuracy, and how computationally intensive would it be?
Interview question asked to Data Scientists interviewing at Quora: There are X answers to a certain question on Quora. How do you create model that takes user viewing history to rank the questions? How computationally intensive is this model?.