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AI Recommendation Models Flashcards | StudBud

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Which part of the formula prevents repetitive content?

What role does `w1`, `w2`, and `w3` play in the formula?

AI Recommendation Models

9 terms·StudBud Administration

Learn about why apps are so addictive and how mathematical models work to recommend

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Questions 9

Answers

1
What role does `w1`, `w2`, and `w3` play in the formula?
They control the ad revenue
They adjust how much each factor affects the score
They label the videos
They sort comments
2
Which part of the formula prevents repetitive content?
freq(tag)
score(user, tag)
hot(tag)
rel(tag, user)
3
If a topic is trending but not relevant to the user, what is likely true?
score is always zero
hot(tag) is high, rel(tag, user) is low
freq(tag) is high
It won’t appear at all
4
What is the main goal of the scoring algorithm?
To show only the newest videos
To balance popularity, personalization, and novelty
To prioritize friend-based videos
To ban low-performing content
5
Which spreadsheet tools can read this sheet and export to xlsx format?
Google Docs
Excel
LibreOffice
Numbers
6
What does the variable `hot(tag)` represent in the Douyin recommendation formula?
How relevant a tag is to other users
How much a user likes a topic
How often a user sees a topic
How popular a topic is overall
7
What does `rel(tag, user)` measure?
How trending the tag is
The total score of a tag
How relevant a topic is to the user
How many users dislike a tag
8
Which area of the Johari Window does the algorithm try to explore?
Free Area
Open Area
Unknown Area
Hidden Area
9
Why does the algorithm subtract `w3 * freq(tag)`?
To increase ad impressions
To reduce repetition and keep content fresh
To hide irrelevant content
To punish boring topics