Detecting web spam

In this paper, a novel method is presented to detect spam content on the web. It is based on classification and employs an idea from biology, namely, danger theory, to guide the use of different classifiers. The evaluation of content features of WEBSPAM-UK2007 data set using 10-fold cross-validation demonstrates that this method provides high evaluation criteria in detecting web spam.

13p byphasse043256 23-03-2019 27 1   Download