Link-based spam algorithms in adversarial information retrieval
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...
| Main Authors: | , , , |
|---|---|
| Format: | Journal Article |
| Published: |
Taylor and Francis
2012
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/20724 |
| _version_ | 1848750388207943680 |
|---|---|
| author | Leng, A. Kumar, P. Singh, Ashutosh Mohan, A. |
| author_facet | Leng, A. Kumar, P. Singh, Ashutosh Mohan, A. |
| author_sort | Leng, A. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T07:36:02Z |
| format | Journal Article |
| id | curtin-20.500.11937-20724 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:36:02Z |
| publishDate | 2012 |
| publisher | Taylor and Francis |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-207242017-09-13T16:03:34Z Link-based spam algorithms in adversarial information retrieval Leng, A. Kumar, P. Singh, Ashutosh Mohan, A. TrustRank adversarial information retrieval HostRank web spam link-based spam algorithms 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. 2012 Journal Article http://hdl.handle.net/20.500.11937/20724 10.1080/01969722.2012.707491 Taylor and Francis restricted |
| spellingShingle | TrustRank adversarial information retrieval HostRank web spam link-based spam algorithms Leng, A. Kumar, P. Singh, Ashutosh Mohan, A. Link-based spam algorithms in adversarial information retrieval |
| title | Link-based spam algorithms in adversarial information retrieval |
| title_full | Link-based spam algorithms in adversarial information retrieval |
| title_fullStr | Link-based spam algorithms in adversarial information retrieval |
| title_full_unstemmed | Link-based spam algorithms in adversarial information retrieval |
| title_short | Link-based spam algorithms in adversarial information retrieval |
| title_sort | link-based spam algorithms in adversarial information retrieval |
| topic | TrustRank adversarial information retrieval HostRank web spam link-based spam algorithms |
| url | http://hdl.handle.net/20.500.11937/20724 |