Link spam detection using smooth classification function
AssigneeMicrosoft Corporation
InventorsDengyong Zhou, Christopher Burges, Tao Tao
Life of this patent
Estimating the term…
Abstract
A spam detection system is disclosed. The system includes a classifier training component that receives a first set of training pages labeled as normal pages and a second set of training pages labeled as spam pages. The training component trains a web page classifier based on both the first set of training pages and the second set of training pages. A spam detector then receives unlabeled web pages uses the web page classifier to classify the unlabeled web pages as spam pages or normal pages.
Claims20
A spam detection system, comprising:
- a classifier training component that receives a first set of training pages labeled as normal pages and a second set of training pages labeled as spam pages, wherein the classifier training component trains a web page classifier based on both the first set of training pages and the second set of training pages;
- and
- a spam detector that receives unlabeled web pages and, utilizing a computer processor, applies the web page classifier so as to classify the unlabeled web pages as either spam pages or normal pages.
A computer-implemented method of detecting spam in a collection of web pages, the method comprising:
- receiving a first set of training pages labeled as content pages and a second set of training pages labeled as spam pages;
- training a web page classifier based on both the first set of training pages and the second set of training pages;
- and
- receiving unlabeled web pages and, utilizing a computer processor, classifying the unlabeled web pages as either spam pages or normal pages based on the web page classifier.
Dependencies are inferred from the claim text.