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Journal of Intelligent Information Systems

Erschienen in:

01.08.2014

Link-based web spam detection using weight properties

verfasst von: Kwang Leng Goh, Ravi Kumar Patchmuthu, Ashutosh Kumar Singh

Erschienen in: Journal of Intelligent Information Systems | Ausgabe 1/2014

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Abstract

Link spam is created with the intention of boosting one target’s rank in exchange of business profit. This unethical way of deceiving Web search engines is known as Web spam. Since then many anti-link spam detection techniques have constantly being proposed. Web spam detection is a crucial task due to its devastation towards Web search engines and global cost of billion dollars annually. In this paper, we proposed a novel technique by incorporating weight properties to enhance the Web spam detection algorithms. Weight properties can be defined as the influences of one Web node towards another Web node. We modified existing Web spam detection algorithms with our novel technique to evaluate the performances on a large public Web spam dataset – WEBSPAM-UK2007. The overall performance have shown that the modified algorithms outperform the benchmark algorithms up to 30.5 % improvement at host level and 6.11 % improvement at page level.

Vorheriger Artikel Discriminative and deterministic approaches towards entity resolution

Nächster Artikel Algorithms for spatial collocation pattern mining in a limited memory environment: a summary of results

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Titel: Link-based web spam detection using weight properties
verfasst von: Kwang Leng Goh
Ravi Kumar Patchmuthu
Ashutosh Kumar Singh
Publikationsdatum: 01.08.2014
Verlag: Springer US
Erschienen in: Journal of Intelligent Information Systems / Ausgabe 1/2014
Print ISSN: 0925-9902
Elektronische ISSN: 1573-7675
DOI: https://doi.org/10.1007/s10844-014-0310-y

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