Incorporating weight properties in detection of web spam

Goh, Kwang Leng Alex; Ravi, Kumar; Singh, Ashutosh Kumar

doi:10.1109/URKE.2012.6319540

Access Status

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Authors

Goh, Kwang Leng Alex

Ravi, Kumar

Singh, Ashutosh Kumar

Date

2012

Type

Conference Paper

Metadata

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Citation

Goh, K.L.A. and Ravi, K. and Singh, A.K. 2012. Incorporating weight properties in detection of web spam, in 2nd IEEE International Conference on Uncertainty Reasoning and Knowledge Engineering (URKE), Aug 14-15 2012, pp. 18-21. Jakarta, Indonesia: Institute of Electrical and Electronics Engineers.

Source Title

Proceeding of 2nd IEEE International Conference on Uncertainty Reasoning and Knowledge Engineering

Source Conference

2nd IEEE International Conference on Uncertainty Reasoning and Knowledge Engineering

DOI

10.1109/URKE.2012.6319540

ISBN

978-1-4673-1459-6

School

Curtin Sarawak

URI

http://hdl.handle.net/20.500.11937/31508

Collection

Curtin Research Publications

Abstract

This paper focus on incorporating weight properties to enhance Web spam detection algorithms. Our proposed methodology adds this feature into Anti-TrustRank algorithm and call it weighted Anti-TrustRank algorithm to show the effectiveness of the weight properties using a new metric. Experiments are conducted on WEBSPAM-UK2006, a public Web spam dataset and have shown that weighted Anti-TrustRank significantly outperforms Anti-TrustRank algorithm up to 37.85%.