NDLI: Link farm detection using SVMLight tool

Content Provider	IEEE Xplore Digital Library
Author	Saraswathi, D. Kathiravan, A.V. Kavitha, R.
Copyright Year	2012
Description	Author affiliation: K. S. Rangasamy College of Arts & Science (Autonomous) Tiruchengode-637215, Namakkal (Saraswathi, D.) \|\| Government Arts College, Salem-07 (Kathiravan, A.V.) \|\| Dept of Computer Science, Aloysius Institute of Management and Information Technology, Beeri, Kotekar, Mangalore, Karnataka - 575922 (Kavitha, R.)
Abstract	Search Engine spam is a web page or a portion of a web page which has been created with the intention of increasing its ranking in search engines. Web spamming refers to actions intended to mislead search engines and give some pages higher ranking than they deserve. Anyone who uses a search engine frequently has most likely encountered a high ranking page that consists of nothing more than a bunch of query keywords. These pages detract both from the user experience and from the quality of the search engine. Search engine spam is a webpage that has been designed to artificially inflating its search engine ranking. Recently this search engine spam has been increased dramatically and creates problem to the search engine and the web surfer. It degrades the search engine's results, occupies more memory and consumes more time for creating indexes, and frustrates the user by giving irrelevant results. Search engines have tried many techniques to filter out these spam pages before they can appear on the query results page. In this paper, various ways of creating spam pages, a collection of current methods that are being used to detect spam, and a new approach to build a tool for link spam detection that uses machine learning as a means for detecting spam. This new approach uses SVMLight tool to detect the link spam which only considers the link structure of Web, regardless of page contents. These statistical features are used to build a classifier that is tested over a large collection of Web link spam. The link farm can identify based on degree Hub and Authorities of link. The spam classifier makes use of the Wordnet word database and SVMLight tool to classify web links as either spam or not spam. These features are not only related to quantitative data extracted from the Web pages, but also to qualitative properties, mainly of the page links.
Starting Page	1
Ending Page	5
File Size	190995
Page Count	5
File Format	PDF
ISBN	9781457715808
e-ISBN	9781457715839
DOI	10.1109/ICCCI.2012.6158833
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-01-10
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Conferences Crawlers Unsolicited electronic mail Search engine PageRank Link Farm Cloaking Spamdexing Web pages Classification Search engines Informatics Click Spam
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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