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Adversarial Information Retrieval: Information retrieval, Spamdexing, Web search engines, Google bomb, Comment spam, Referrer spam, Spam blog - Softcover
Synopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Adversarial information retrieval is a topic in information retrieval that addresses tasks such as gathering, indexing, filtering, retrieving and ranking information from collections wherein a subset has been manipulated maliciously. Adversarial IR includes the study of methods to detect, isolate, and defeat such manipulation. On the Web, the predominant form of such manipulation is search engine spamming, including techniques that are employed to disrupt the activity of web search engines, usually for financial gain. Examples of spamdexing are link-bombing, comment or referrer spam, spam blogs, malicious tagging, reverse engineering of ranking algorithms, advertisement blocking, and web content filtering . The name stems from the fact that there are two sides with opposing goals. For instance, the relationship between the owner of a Web site trying to rank high on a search engine and the search engine administrator is an adversarial relationship in a zero-sum game. Every undeserved gain in ranking by the web site is a loss of precision for the search engine.
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Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Adversarial information retrieval is a topic in information retrieval that addresses tasks such as gathering, indexing, filtering, retrieving and ranking information from collections wherein a subset has been manipulated maliciously. Adversarial IR includes the study of methods to detect, isolate, and defeat such manipulation. On the Web, the predominant form of such manipulation is search engine spamming, including techniques that are employed to disrupt the activity of web search engines, usually for financial gain. Examples of spamdexing are link-bombing, comment or referrer spam, spam blogs, malicious tagging, reverse engineering of ranking algorithms, advertisement blocking, and web content filtering . The name stems from the fact that there are two sides with opposing goals. For instance, the relationship between the owner of a Web site trying to rank high on a search engine and the search engine administrator is an adversarial relationship in a zero-sum game. Every undeserved gain in ranking by the web site is a loss of precision for the search engine.
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Adversarial Information Retrieval
Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Englisch. Seller Inventory # 9786132641397
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Adversarial Information Retrieval : Information retrieval, Spamdexing, Web search engines, Google bomb, Comment spam, Referrer spam, Spam blog
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Adversarialinformation retrieval is a topic in information retrieval that addressestasks such as gathering, indexing, filtering, retrieving and rankinginformation from collections wherein a subset has been manipulatedmaliciously. Adversarial IR includes the study of methods to detectisolate, and defeat such manipulation. On the Web, the predominant formof such manipulation is search engine spamming, including techniquesthat are employed to disrupt the activity of web search engines, usuallyfor financial gain. Examples of spamdexing are link-bombing, comment orreferrer spam, spam blogs, malicious tagging, reverse engineering ofranking algorithms, advertisement blocking, and web content filtering .The name stems from the fact that there are two sides with opposinggoals. For instance, the relationship between the owner of a Web sitetrying to rank high on a search engine and the search engineadministrator is an adversarial relationship in a zero-sum game. Everyundeserved gain in ranking by the web site is a loss of precision forthe search engine. Seller Inventory # 9786132641397
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Adversarial Information Retrieval
Print on DemandSeller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Adversarialinformation retrieval is a topic in information retrieval that addressestasks such as gathering, indexing, filtering, retrieving and rankinginformation from collections wherein a subset has been manipulatedmaliciously. Adversarial IR includes the study of methods to detectisolate, and defeat such manipulation. On the Web, the predominant formof such manipulation is search engine spamming, including techniquesthat are employed to disrupt the activity of web search engines, usuallyfor financial gain. Examples of spamdexing are link-bombing, comment orreferrer spam, spam blogs, malicious tagging, reverse engineering ofranking algorithms, advertisement blocking, and web content filtering .The name stems from the fact that there are two sides with opposinggoals. For instance, the relationship between the owner of a Web sitetrying to rank high on a search engine and the search engineadministrator is an adversarial relationship in a zero-sum game. Everyundeserved gain in ranking by the web site is a loss of precision forthe search engine.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Seller Inventory # 9786132641397