Stories appear in the front page of Digg as they are "voted up" (rated positively) by the community. As the community becomes larger and more diverse, the promoted stories can better reflect the…

The correct answer is B. Collaborative filtering. One scenario of collaborative filtering application is to recommend interesting or popular information as judged by the community. As a typical example, stories appear in the front page of Digg as they are "voted up" (rated positively) by the community. As the community becomes…

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Question

Stories appear in the front page of Digg as they are "voted up" (rated positively) by the community. As the community becomes larger and more diverse, the promoted stories can better reflect the average interest of the community members. Which of the following technique is used to make such recommendation engine?

Options

ANaive Bayes classifier
BCollaborative filtering
CLogistic Regression
DContent-based filtering

How the community answered

(44 responses)

A
7% (3)
B
80% (35)
C
11% (5)
D
2% (1)

Explanation

One scenario of collaborative filtering application is to recommend interesting or popular information as judged by the community. As a typical example, stories appear in the front page of Digg as they are "voted up" (rated positively) by the community. As the community becomes larger and more diverse, the promoted stories can better reflect the average interest of the community members.

Topics

#collaborative filtering#recommendation engine#community voting#ML techniques

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