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Using Social Network Graph Analysis for Interest Detection by Rowe, Brian Lee Yung is a scholarly article available to read on EtoBox.

What is Using Social Network Graph Analysis for Interest Detection about?

A person's interests exist as an internal state and are difficult to define. Since only external actions are observable, a proxy must be used that represents someone's interests. Techniques like collaborative filtering, behavioral targeting, and hashtag analysis implicitly model an individual's interests. I argue that these models are limited to shallow, temporary interests, which do not reflect people's deeper interests or passions. I propose an alternative model of interests that takes advantage of a user's social graph. The basic principle is that people only follow those that interest them, so the social graph is an effective and robust proxy for people's interests.

Author

Rowe, Brian Lee Yung

Published

2014

Language

EN