Web spam involves intentional manipulation of web pages to influence search engine rankings. Some common techniques used by spammers include term spamming by repetitively including certain keywords, and link spamming by creating link farms or exchanges to boost page rank. Detecting web spam helps provide more relevant search results for users and avoids distorting the true importance of pages. Continued research explores improved methods for identifying spamming techniques and their structures.
Conrad Saam from Avvo talkes about search in terms of competition, content, linkbuilding and technology at the Radius of Influence 2010 Conference in Tampa, Florida. Hosted by the Injury Board and the American Association for Justice.
This document discusses web spam and techniques used to mislead search engines. It defines web spam as actions intended to boost a page's ranking without improving its true value. Two main categories of techniques are described: boosting techniques like term spamming and link spamming; and hiding techniques like content hiding and cloaking to conceal spamming from users and search engines. Specific spamming methods like term repetition, link exchanges, and cloaking behavior are outlined. The goal of web spammers and the algorithms search engines use for ranking are also summarized.
Search engines crawl and index billions of webpages to build a massive database. When a user searches, the engines analyze hundreds of factors to determine the most relevant results and return them quickly. Search marketers conduct experiments to understand how search engines rank pages and optimize sites, as engines provide little direct information about their complex algorithms. Through iterative testing and analysis of patents, the search marketing field has gained useful knowledge about ranking factors and best practices.
Search engines crawl and index billions of webpages to provide relevant answers to user queries. They analyze hundreds of ranking factors like links, content, and freshness to determine the most important results. However, search engines have technical limitations and cannot see content hidden in things like Flash, frames, or non-HTML text. For optimal visibility, pages must be structured for both search engine bots and human visitors.
Search engines crawl and index billions of webpages to build a massive database. When a user searches, the engines calculate relevance and rank hundreds of factors to provide the most relevant results as quickly as possible. Through experiments and testing, search marketers have uncovered many of the algorithms' components to help websites succeed in search rankings.
Search engines crawl billions of webpages to index their content and keywords. When a user searches, the engines retrieve relevant pages from their index and rank them based on hundreds of factors. The top ranked pages receive the majority of clicks. While search engines aim to provide the most useful results, their algorithms have technical limitations that can prevent some content from being found or ranked highly. Search engine optimization seeks to address these limitations to improve a page's discoverability and position in search results. As search technologies evolve, SEO strategies must also adapt to changing algorithms and user behaviors.
Conrad Saam from Avvo talkes about search in terms of competition, content, linkbuilding and technology at the Radius of Influence 2010 Conference in Tampa, Florida. Hosted by the Injury Board and the American Association for Justice.
This document discusses web spam and techniques used to mislead search engines. It defines web spam as actions intended to boost a page's ranking without improving its true value. Two main categories of techniques are described: boosting techniques like term spamming and link spamming; and hiding techniques like content hiding and cloaking to conceal spamming from users and search engines. Specific spamming methods like term repetition, link exchanges, and cloaking behavior are outlined. The goal of web spammers and the algorithms search engines use for ranking are also summarized.
Search engines crawl and index billions of webpages to build a massive database. When a user searches, the engines analyze hundreds of factors to determine the most relevant results and return them quickly. Search marketers conduct experiments to understand how search engines rank pages and optimize sites, as engines provide little direct information about their complex algorithms. Through iterative testing and analysis of patents, the search marketing field has gained useful knowledge about ranking factors and best practices.
Search engines crawl and index billions of webpages to provide relevant answers to user queries. They analyze hundreds of ranking factors like links, content, and freshness to determine the most important results. However, search engines have technical limitations and cannot see content hidden in things like Flash, frames, or non-HTML text. For optimal visibility, pages must be structured for both search engine bots and human visitors.
Search engines crawl and index billions of webpages to build a massive database. When a user searches, the engines calculate relevance and rank hundreds of factors to provide the most relevant results as quickly as possible. Through experiments and testing, search marketers have uncovered many of the algorithms' components to help websites succeed in search rankings.
Search engines crawl billions of webpages to index their content and keywords. When a user searches, the engines retrieve relevant pages from their index and rank them based on hundreds of factors. The top ranked pages receive the majority of clicks. While search engines aim to provide the most useful results, their algorithms have technical limitations that can prevent some content from being found or ranked highly. Search engine optimization seeks to address these limitations to improve a page's discoverability and position in search results. As search technologies evolve, SEO strategies must also adapt to changing algorithms and user behaviors.
Search engines crawl and index billions of webpages to provide relevant answers to user queries. They analyze hundreds of ranking factors like links, content, and freshness to determine the most important results. However, search engines have technical limitations and cannot see content hidden in things like Flash, frames, or non-HTML text. To be visible, content must be structured for both search engine bots and human visitors. Optimization helps satisfy both through compromises in webpage design.
Search engines crawl and index billions of webpages to provide relevant answers to user queries. They analyze hundreds of ranking factors like links, content, and freshness to determine the most important results. However, search engines have technical limitations and cannot access all content, including elements behind forms, certain file types, or text not in HTML. Search engine optimization seeks to address these limitations to help search engines find and understand a site's content.
This document discusses understanding websites and their structure. It explains that a website is hosted on a web server and accessible online through a URL. It notes the importance of websites for internet marketing, business presence, and local search. The document then describes website structure including layout templates, URL patterns, and linkage between pages. It provides examples of template types and how URL patterns are related to templates. Finally, it discusses analyzing a website's structure through random page sampling and modeling the templates, patterns, and links between pages.
The document discusses websites and domains. It provides information on what a website is and its importance for businesses. It explains that a website should explain a business's products and services. It also discusses website structure, including layout templates, URL patterns, and link structure. Local search is growing in importance for small businesses. The document also defines what a domain name is and how it is used for website hosting. It provides contact information for the National Center for Biotechnology Information.
The document discusses web crawlers, which are programs that download web pages to help search engines index websites. It explains that crawlers use strategies like breadth-first search and depth-first search to systematically crawl the web. The architecture of crawlers includes components like the URL frontier, DNS lookup, and parsing pages to extract links. Crawling policies determine which pages to download and when to revisit pages. Distributed crawling improves efficiency by using multiple coordinated crawlers.
The document discusses search engines and digital libraries. It begins by defining search engines and how they work, using crawlers to index web pages and returning search results based on keywords. It then discusses how digital libraries are similar, allowing searches of their online collections. The document provides examples of large academic digital libraries that contain searchable article databases, ebooks, and other digital materials.
This document provides an overview of key concepts in digital marketing and search engine optimization (SEO). It defines common SEO abbreviations and terms, describes how search engines work and factors that determine search result rankings. The document also explains different SEO techniques including on-page optimization, off-page link building, white hat versus black hat approaches, and how to generate traffic through both organic and paid search engine methods. Key Google tools for SEO are also outlined.
This document provides an overview of key concepts in digital marketing and search engine optimization (SEO). It defines common SEO abbreviations and terms, describes how search engines work and factors that determine search result rankings. The document also explains different SEO techniques including on-page optimization, off-page link building, white hat versus black hat approaches, and how to generate traffic through both organic and paid search engine methods. Key Google tools for SEO are also outlined.
Information and communication technologyChaitraAni
This document discusses key concepts in information and communication technology used in secondary education, including browsers, web search engines, web pages, and internet service providers. It defines browsers as software used to access information on the World Wide Web. It describes the main types of search engines as crawler-based (like Google), human-powered directories (like Yahoo), and hybrid models. It also defines internet service providers, web sites, web pages, and concludes by discussing the potential of web services.
The document provides an overview of search engine optimization (SEO) and discusses what techniques should be avoided. It defines SEO as improving a website's placement in search engine results pages through legitimate means like on-page optimization and backlinks. The document outlines SEO's history and changing industry, noting keywords were once optimized through meta tags but search engines now prioritize off-page links. It describes nine illicit SEO techniques, or "black hat" methods, to avoid like keyword stuffing, cloaking, doorway pages, and hidden/tiny text, as these can get a site penalized for spamming.
Research on Key Technology of Web ReptileIRJESJOURNAL
Abstract: This paper mainly introduces the web crawler system structure. Through the analysis of the architecture of web crawler we obtainedfive functional components. They respectively are: the URL scheduler, DNS resolver, web crawling modules, web page analyzer, and the URL judgment device. To build an efficient Web crawler the key technology is to design an efficient Web crawler, so as to solve the challenges that the huge scale of Web brings
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Search engine optimization (SEO) involves designing web pages to maximize the chance they appear at the top of search engine results for selected keywords. It is an iterative process that requires understanding how search engines work and using both technical and content-based methods to improve rankings. Key factors for SEO success include optimizing a site for crawlability, focusing on relevant and popular keywords, building internal and external links, and creating high-quality, keyword-rich content. Proper SEO implementation requires ongoing measurement and adjustment to a dynamic search engine environment.
Stephan Spencer - SEMPO Atlanta. October 1, 2010. Topic: Advanced SEOAllison Fabella
The document provides tips and tactics for advanced SEO, including:
1) Using keyword brainstorming and tools like Soovle to find related keywords for content planning.
2) Testing URLs and titles to optimize click-through rates, and making iterative improvements.
3) Evaluating metrics like page yield, keyword yield, and non-performing pages to identify optimization opportunities.
Web mining is the use of data mining techniques to automatically discover and extract information from web documents and web usage data. There are three types of web mining: web content mining, web structure mining, and web usage mining. Web content mining analyzes the contents of web pages such as text and images. Web structure mining analyzes the hyperlink structure of the web to discover communities and page rankings. Web usage mining analyzes user interactions with websites through web logs to understand user behavior. Popular algorithms for web mining include PageRank for ranking pages and HITS for identifying hubs and authorities on a topic. Web mining has applications in areas like e-commerce, security, and prediction.
The document provides an overview of search engine marketing and optimization techniques. It discusses key topics like the importance of keywords, optimal placement in titles, headings and body copy. It also covers technical aspects like sitemaps, indexing, and barriers that can prevent proper crawling. The goal is to educate on changing a site to maximize elements search engines use to score and rank pages.
A search engine is a tool that allows users to find information on the World Wide Search by entering keywords. Search engines use the keywords to locate websites containing the requested information.
This document provides an overview of search quality evaluation for beginners. It introduces the concept of "SearchLand" as a metaphor for the domain of web search engines. The document outlines some basics of how search engines work, including crawling, indexing, and ranking pages. It then discusses challenges in measuring search quality, including evaluating relevance, coverage, diversity, and latency. The document concludes by acknowledging the complexity of search quality and outlining opportunities for continued improvement through metrics and analysis.
Determining the overall system performance and measuring the quality of complex search systems are tough questions. Changes come from all subsystems of the complex system, at the same time, making it difficult to assess which modification came from which sub-component and whether they improved or regressed the overall performance. If this wasn’t hard enough, the target against which you are measuring your search system is also constantly evolving, sometimes in real time. Regression testing of the system and its components is crucial, but resources are limited. In this talk I discuss some of the issues involved and some possible ways of dealing with these problems. In particular I want to present an academic view of what I should have known about search quality before I joined Cuil in 2008.
SEARCH ENGINE is a tool that enables users to locate information on the World Wide Web. Search engines use keywords entered by users to find Web sites which contain the information sought. Off-page SEO refers to techniques like link building, social bookmarking, article submission, press releases and more to improve a website's ranking in search engines. Successful off-page SEO brings more traffic to a website through relevant backlinks and connections to other online platforms.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
Search engines crawl and index billions of webpages to provide relevant answers to user queries. They analyze hundreds of ranking factors like links, content, and freshness to determine the most important results. However, search engines have technical limitations and cannot see content hidden in things like Flash, frames, or non-HTML text. To be visible, content must be structured for both search engine bots and human visitors. Optimization helps satisfy both through compromises in webpage design.
Search engines crawl and index billions of webpages to provide relevant answers to user queries. They analyze hundreds of ranking factors like links, content, and freshness to determine the most important results. However, search engines have technical limitations and cannot access all content, including elements behind forms, certain file types, or text not in HTML. Search engine optimization seeks to address these limitations to help search engines find and understand a site's content.
This document discusses understanding websites and their structure. It explains that a website is hosted on a web server and accessible online through a URL. It notes the importance of websites for internet marketing, business presence, and local search. The document then describes website structure including layout templates, URL patterns, and linkage between pages. It provides examples of template types and how URL patterns are related to templates. Finally, it discusses analyzing a website's structure through random page sampling and modeling the templates, patterns, and links between pages.
The document discusses websites and domains. It provides information on what a website is and its importance for businesses. It explains that a website should explain a business's products and services. It also discusses website structure, including layout templates, URL patterns, and link structure. Local search is growing in importance for small businesses. The document also defines what a domain name is and how it is used for website hosting. It provides contact information for the National Center for Biotechnology Information.
The document discusses web crawlers, which are programs that download web pages to help search engines index websites. It explains that crawlers use strategies like breadth-first search and depth-first search to systematically crawl the web. The architecture of crawlers includes components like the URL frontier, DNS lookup, and parsing pages to extract links. Crawling policies determine which pages to download and when to revisit pages. Distributed crawling improves efficiency by using multiple coordinated crawlers.
The document discusses search engines and digital libraries. It begins by defining search engines and how they work, using crawlers to index web pages and returning search results based on keywords. It then discusses how digital libraries are similar, allowing searches of their online collections. The document provides examples of large academic digital libraries that contain searchable article databases, ebooks, and other digital materials.
This document provides an overview of key concepts in digital marketing and search engine optimization (SEO). It defines common SEO abbreviations and terms, describes how search engines work and factors that determine search result rankings. The document also explains different SEO techniques including on-page optimization, off-page link building, white hat versus black hat approaches, and how to generate traffic through both organic and paid search engine methods. Key Google tools for SEO are also outlined.
This document provides an overview of key concepts in digital marketing and search engine optimization (SEO). It defines common SEO abbreviations and terms, describes how search engines work and factors that determine search result rankings. The document also explains different SEO techniques including on-page optimization, off-page link building, white hat versus black hat approaches, and how to generate traffic through both organic and paid search engine methods. Key Google tools for SEO are also outlined.
Information and communication technologyChaitraAni
This document discusses key concepts in information and communication technology used in secondary education, including browsers, web search engines, web pages, and internet service providers. It defines browsers as software used to access information on the World Wide Web. It describes the main types of search engines as crawler-based (like Google), human-powered directories (like Yahoo), and hybrid models. It also defines internet service providers, web sites, web pages, and concludes by discussing the potential of web services.
The document provides an overview of search engine optimization (SEO) and discusses what techniques should be avoided. It defines SEO as improving a website's placement in search engine results pages through legitimate means like on-page optimization and backlinks. The document outlines SEO's history and changing industry, noting keywords were once optimized through meta tags but search engines now prioritize off-page links. It describes nine illicit SEO techniques, or "black hat" methods, to avoid like keyword stuffing, cloaking, doorway pages, and hidden/tiny text, as these can get a site penalized for spamming.
Research on Key Technology of Web ReptileIRJESJOURNAL
Abstract: This paper mainly introduces the web crawler system structure. Through the analysis of the architecture of web crawler we obtainedfive functional components. They respectively are: the URL scheduler, DNS resolver, web crawling modules, web page analyzer, and the URL judgment device. To build an efficient Web crawler the key technology is to design an efficient Web crawler, so as to solve the challenges that the huge scale of Web brings
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
Search engine optimization (SEO) involves designing web pages to maximize the chance they appear at the top of search engine results for selected keywords. It is an iterative process that requires understanding how search engines work and using both technical and content-based methods to improve rankings. Key factors for SEO success include optimizing a site for crawlability, focusing on relevant and popular keywords, building internal and external links, and creating high-quality, keyword-rich content. Proper SEO implementation requires ongoing measurement and adjustment to a dynamic search engine environment.
Stephan Spencer - SEMPO Atlanta. October 1, 2010. Topic: Advanced SEOAllison Fabella
The document provides tips and tactics for advanced SEO, including:
1) Using keyword brainstorming and tools like Soovle to find related keywords for content planning.
2) Testing URLs and titles to optimize click-through rates, and making iterative improvements.
3) Evaluating metrics like page yield, keyword yield, and non-performing pages to identify optimization opportunities.
Web mining is the use of data mining techniques to automatically discover and extract information from web documents and web usage data. There are three types of web mining: web content mining, web structure mining, and web usage mining. Web content mining analyzes the contents of web pages such as text and images. Web structure mining analyzes the hyperlink structure of the web to discover communities and page rankings. Web usage mining analyzes user interactions with websites through web logs to understand user behavior. Popular algorithms for web mining include PageRank for ranking pages and HITS for identifying hubs and authorities on a topic. Web mining has applications in areas like e-commerce, security, and prediction.
The document provides an overview of search engine marketing and optimization techniques. It discusses key topics like the importance of keywords, optimal placement in titles, headings and body copy. It also covers technical aspects like sitemaps, indexing, and barriers that can prevent proper crawling. The goal is to educate on changing a site to maximize elements search engines use to score and rank pages.
A search engine is a tool that allows users to find information on the World Wide Search by entering keywords. Search engines use the keywords to locate websites containing the requested information.
This document provides an overview of search quality evaluation for beginners. It introduces the concept of "SearchLand" as a metaphor for the domain of web search engines. The document outlines some basics of how search engines work, including crawling, indexing, and ranking pages. It then discusses challenges in measuring search quality, including evaluating relevance, coverage, diversity, and latency. The document concludes by acknowledging the complexity of search quality and outlining opportunities for continued improvement through metrics and analysis.
Determining the overall system performance and measuring the quality of complex search systems are tough questions. Changes come from all subsystems of the complex system, at the same time, making it difficult to assess which modification came from which sub-component and whether they improved or regressed the overall performance. If this wasn’t hard enough, the target against which you are measuring your search system is also constantly evolving, sometimes in real time. Regression testing of the system and its components is crucial, but resources are limited. In this talk I discuss some of the issues involved and some possible ways of dealing with these problems. In particular I want to present an academic view of what I should have known about search quality before I joined Cuil in 2008.
SEARCH ENGINE is a tool that enables users to locate information on the World Wide Web. Search engines use keywords entered by users to find Web sites which contain the information sought. Off-page SEO refers to techniques like link building, social bookmarking, article submission, press releases and more to improve a website's ranking in search engines. Successful off-page SEO brings more traffic to a website through relevant backlinks and connections to other online platforms.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
This presentation was provided by Rebecca Benner, Ph.D., of the American Society of Anesthesiologists, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Geography as a Discipline Chapter 1 __ Class 11 Geography NCERT _ Class Notes...
Webspam kaut
1. 7 / 12
WEB SPAM
PRESENTED BY
KAUTILYA
ROLL NO:36
2. INTRODUCTION: WEB SEARCH
• Web search – the access to the Web by hundreds of millions of
people and this activities can be done in hundreds
of millions of queries per day.
Hence,
Queries + people = TRAFFIC
• The web site owners want to avoid huge traffic and ranked
high the web site in search engine for
– Communicate some message i.e; commercial, political,relegious,etc.
– Install viruses, adware, etc.
3. WEB SPAM : DEFINITION
Web Spam can be defined as any intentional activity by a
human to generate an unreasonably favorable result or
importance for a web page that naturally should not have
the weight or significance associated to it.[1]
In other words
The practice of manipulating web pages in order to cause
search engines to rank some web pages higher than they
would without any manipulation.
4. WEB SPAMMERS ACTIVITIES
THE
Document WEB
IDs
Display results
on a web page
Retrieve full Index the
text of documents
relevant
documents
Rank
Resul
t Search
Engine
Servers Inverted
Get indices for
Index
relevant
documents
Query
Web Spammers target the last step
5. WEB SPAM IS BAD
• Bad for users
– Makes it harder to satisfy information need
– Leads to frustrating search experience
• Bad for search engines
– Burns crawling bandwidth
– Pollutes corpus (infinite number of spam pages!)
– Distorts ranking of results
6. HISTORY
• It was introduced by the 1st Generation Search Engine Companies
in the 1990’s
- The technique came to be known as ‘Glittering Generalities’
• 2nd Generation Search Engine Companies
- Neutralized Glittering Generalities
- Ranked pages according to their popularity
- Popularity determined by Links pointing to the Web page
- Spammers made Link farms to circumvent it
• 3rd Generation Search Engine Companies
- use page rank, HITS algorithm to rank pages
- Spammers have found new ways as well!
7. SPAMMING TECHNIQUES
• Boosting Rank
• Term Spamming : Manipulating the text of web pages
in order to appear relevant to queries
• Link Spamming : Creating link structures that boost
page rank or hubs and authorities scores
• Hiding Techniques:
• Content Hiding : Use same color for text and page
background
• Cloaking : Return different page to crawlers and
browsers
• Redirecting
- Alternative to cloaking
- Redirects are followed by browsers but not crawlers
8. TERM SPAMMING
• Repetition
– of one or a few specific terms e.g., free, cheap, Viagra
– Goal is to subvert TF.IDF ranking schemes
• Dumping
– of a large number of unrelated terms
– e.g., copy entire dictionaries
• Weaving
– Copy legitimate pages and insert spam terms at random positions
• Phrase Stitching
– Glue together sentences and phrases from different sources
Term spam targets
• Body of web page
• Title
• URL
• HTML meta tags
• Anchor text
9. LINK SPAM
• Three kinds of web pages from a spammer’s point of view
– Inaccessible pages
– Accessible pages
• e.g., web log comments pages
• spammer can post links to his pages
– Own pages
• Completely controlled by spammer
• May span multiple domain names
Spammer’s goal
– Maximize the page rank of target page t
• Technique
– Get as many links from accessible pages as possible to target
page t
– Construct “link farm” to get page rank multiplier effect
10. WEB SPAM – RECOGNISING WEB SPAM LINKS
Potential signs of web spam in SERPS:
Domain name not pertinent/not associable to the keyword
URL composed by more than one level (long URL) + spam keyword
URL including specific page using parameters such as
Id, U, Articleid, etc + spam keyword
Domain suffix: gov, edu, org, info, name, net + spam keyword
Keywords stuffing – spam keyword in title, description and URL
10
11. EXAMPLE WEB SPAM – ONLINE PHARMACY KEYWORDS
The following keywords can be used to identify web
spammers in this industry
Keywords Google Yahoo Live Spam Links
Buy viagra online 11,200,000 44,600,000 57,400,000 G:4/10
Y:6/10
L:10/10
Cheap viagra 12,100,100 36,700,000 53,100,000 G:7/10
Y:7/10
L:9/10
Buy cialis online 7,810,000 33,400,000 25,000,000 G:8/10
Y:9/10
L:10/10
Buy phentermine 4,340,000 27,000,000 52,600,000 G:8/10
online Y:8/10
11
L:10/10
14. DETECTING SPAM
• Term spamming
– Analyze text using statistical methods e.g., Naïve
Bayes classifiers
– Similar to email spam filtering
– Also useful: detecting approximate duplicate
pages
• Link spamming
– Open research area
– One approach: TrustRank
15. CONCLUSION
• Web Spam is a by-product of the search engine era
• Identifying the structure of web spam is the first step
to fighting it.
• Due to the inherent characteristic of the Web it is
difficult to eliminate web spam all together.
• Combination of different web spam techniques can be
combined together to detect spam in a better way
16. REFERENCE
• [1] Z. Gyongyi and H. Garcia-Molina. Web spam taxonomy. In First
International Workshop on Adversarial Information Retrieval on the
Web (AIRWeb), 2005.
• www. iseclab.org/papers/webspam.pdf
• www. cs.wellesley.edu/~cs315/...WebSpamTechniques
• www. malerisch.net/docs/web_spam_techniques
• www. courses.ischool.berkeley.edu/i141/f07/lectures/najork-web-
spam.pdf
• www. infolab.stanford.edu/~ullman/mining/pdf/spam.pdf
• www. research.microsoft.com/pubs/102938/EDS-WebSpamDetection.pdf