Sensitive webpage classification for content advertising
Published 12 August 2007
Xin Jin, Ying Li, Teresa Mah, Jie Tong
Citations53
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TL;DR
This paper takes a webpage classification approach to solve the problem of how to detect whether a publisher webpage contains sensitive content and is appropriate for showing advertisement(s) on it, and designs a unique sensitive content taxonomy.
Abstract
Online advertising has been a popular topic in recent years. In this paper, we address one of the important problems in online advertising, i.e., how to detect whether a publisher webpage contains sensitive content and is appropriate for showing advertisement(s) on it.
Keywords
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