Link-based spam algorithms in adversarial information retrieval
| dc.contributor.author | Leng, A. | |
| dc.contributor.author | Kumar, P. | |
| dc.contributor.author | Singh, Ashutosh | |
| dc.contributor.author | Mohan, A. | |
| dc.date.accessioned | 2017-01-30T12:20:41Z | |
| dc.date.available | 2017-01-30T12:20:41Z | |
| dc.date.created | 2013-02-24T20:00:20Z | |
| dc.date.issued | 2012 | |
| dc.identifier.citation | Leng, Alex Goh Kwang and Kumar, P. Ravi and Singh, Ashutosh Kumar and Mohan, Anand. 2012. Link-based spam algorithms in adversarial information retrieval. Cybernetics and Systems: An International Journal. 43 (6): pp. 459-475. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.11937/20724 | |
| dc.identifier.doi | 10.1080/01969722.2012.707491 | |
| dc.description.abstract |
Web spam has become one of the most exciting challenges and threats to web search engines. The relationship between the search systems and those who try to manipulate them came up with the field of adversarial information retrieval. In this article, we set up several experiments to compare HostRank and TrustRank to show how effective it is for TrustRank to combat web spam, and we report a comparison on different link-based web spam detection algorithms. | |
| dc.publisher | Taylor and Francis | |
| dc.subject | TrustRank | |
| dc.subject | adversarial information retrieval | |
| dc.subject | HostRank | |
| dc.subject | web spam | |
| dc.subject | link-based spam algorithms | |
| dc.title | Link-based spam algorithms in adversarial information retrieval | |
| dc.type | Journal Article | |
| dcterms.source.volume | 43 | |
| dcterms.source.number | 6 | |
| dcterms.source.startPage | 459 | |
| dcterms.source.endPage | 475 | |
| dcterms.source.issn | 0196-9722 | |
| dcterms.source.title | Cybernetics and Systems An International Journal | |
| curtin.department | ||
| curtin.accessStatus | Fulltext not available |