Practice Types Of Recommender Systems (11.2) - Recommender Systems

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6 sample questions

Question 1.
What is content-based filtering?
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Focus on the features of the items.
Question 2.
Give an example of collaborative filtering.
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Think about user similarities.
3Question 3.
What is the main mechanism of content-based filtering?
- User behavior
- Item features
- Demographics
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Focus on what attributes are considered in this method.
4Question 4.
True or False: Collaborative filtering requires item attributes.
- True
- False
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Imagine if user behaviors alone can suffice.
Question 5.
Evaluate the effectiveness of collaborative filtering in a scenario where user preferences are highly personalized and niche.
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Consider what happens in small user groups.
Question 6.
Design a hybrid recommender system for a new streaming service incorporating both user preferences and content features.
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Focus on combining aspects of both systems.

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