[Interview experience & eight-part essay] Search and promotion direction: common interview questions (5)
Article directory
- [Interview experience & eight-part essay] Search and promotion direction: common interview questions (5)
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- 1. How to suppress popular items during the recall phase of the recommendation system? (The "Harry Potter" effect in recommendations)
- 2. Recall model of recommendation system
- 3. How to solve user/item cold start
- 4. The difference between Tensorflow and PyTorch
- 5. Parameter adjustment, Dropout, and overfitting
- 6. Recommendation algorithm: cold start-recall-rough sorting-fine sorting-rearrangement
- 7. What are the indicators of classification decision tree?
- 8. How to construct a decision tree
- 9. The meaning of cross entropy. (Why use cross entropy? Instead of MSE?)
- 10. Collaborative filtering, advantages and disadvantages