Improving Spam Link Detection based on Graph for Search Engine Result
| Author(s) | : | Mishra Akanksha AshwaniKumar, Prof. Sheetal Mehta |
| Institution | : | Computer Science & Engineering, Parul Institute of Engineering & Technology, akanksha10391@gmail.com |
| Published In | : | Vol. 1, Issue 5 — May 2014 |
| Page No. | : | 760-764 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Web deals with huge, diverse, unstructured and dynamic data. The Search Engines arethus an effective way to fetch users query result. Spam poses a significant role in misguiding the webusers utilizing spamming techniques on content and link. Thus we need a development of effectiveand efficient tool that can serve this purpose and thereby minimizes the effect of spam. Link spamcan be filtered efficiently using graph based detection. In Graphs based classification nodes are webpages and links are hyperlinks to redirect .It employs calculation of PageRank and NormalizedPageRank based on mean value of the traditional PageRank algorithm that filters the spam pages.The resultant numeric value employed is used to obtain rank the page and generate the graph.
Mishra Akanksha AshwaniKumar, Prof. Sheetal Mehta, “Improving Spam Link Detection based on Graph for Search Engine Result”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 1, Issue 5, pp. 760-764, May 2014.
