Which of the following technique can be used to the design of recommender systems?

The correct answer is C. Collaborative filtering. One approach to the design of recommender systems that has seen wide use is collaborative filtering. Collaborative filtering methods are based on collecting and analyzing a large amount of information on users' behaviors, activities or preferences and predicting what users will…

Algorithm Selection and Application

Question

Options

ANaive Bayes classifier
BPower iteration
CCollaborative filtering
D1 and 3
E2 and 3

How the community answered

(35 responses)

A
11% (4)
B
3% (1)
C
80% (28)
D
6% (2)

Explanation

One approach to the design of recommender systems that has seen wide use is collaborative filtering. Collaborative filtering methods are based on collecting and analyzing a large amount of information on users' behaviors, activities or preferences and predicting what users will like based on their similarity to other users. A key advantage of the collaborative filtering approach is that it does not rely on machine analyzable content and therefore it is capable of accurately recommending complex items such as movies without requiring an "understanding" of the item itself. Many algorithms have been used in measuring user similarity or item similarity in recommender systems. For example the k-nearest neighbor (k-NN) approach and the Pearson

Topics

#recommender systems#collaborative filtering#algorithm selection#unsupervised learning

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