Lecture 8 Quiz
Graphs and Text processing
1. In PageRank, how is a user modeled?
A random walk
A deterministic user with probability p of clicking a random node
A markov decision process
How does PageRank represent graphs? (as shown in lecture)
What's the difference between Bag of Words and Term Frequency model?
Term Frequency models can adjust for common words
Bag of Words keeps track of word order, where TFIDF doesn't
TFIDF uses a vector, whereas Bag of Words uses a matrix
Bag of words models tend to model language better than TFIDF scores
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