Search Engines, Link Analysis, and User's Web Behavior (häftad)
Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
270
Utgivningsdatum
2010-10-28
Upplaga
Softcover reprint of hardcover 1st ed. 2008
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Medarbetare
Kandel, Abraham
Illustrationer
XX, 270 p.
Dimensioner
234 x 156 x 15 mm
Vikt
413 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783642096167

Search Engines, Link Analysis, and User's Web Behavior

A Unifying Web Mining Approach

Häftad,  Engelska, 2010-10-28
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WEB MINING Link Analysis Search Engines Users Web Behavior HITS Algorithm Fuzzy Cognitive Map Radial Basis Function PageRank Algorithm Interior Point Method Fuzzy Bags Rgeression Models Rough Sets Information Theory Thisbookpresentsaspeci?cand uni?ed approach framework to three- jor components: Search Engines Performance, Link Analysis, and Users Web Behavior. TheexplosivegrowthandthewidespreadaccessibilityoftheWWW has led to a surge of research activity in the area of information retrieval on VI Preface the WWW. The three aspects of web mining follow the taxonomy of the above diagram: Link Analysis, Search engines, and Users web behavior are considered in the unifying approach. The book is organized in three sections as follows: 1. In section I of the book (chapters 24) we study Link Analysis within the hubs and authorities framework. Link Analysis is the science of hyperlink structures ranking, which are used to determine the relative authority of a Web page and produce improved algorithms for the ranking of Web search results. We use the HITS Algorithm developed by Kleinberg and we propose to study HITS in a 2-D new space: In-degree and Out Degree variables. After we categorize each web page into a speci?c toplogy we study the impact of each web topology on HITS in the new 2-D space. We describe why HITS does not fare well in almost all the di?erent topologies of web graphs. We also describe the PageRank Algorithm in this new 2-D space.
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Innehållsförteckning

Basic WWW Technologies.- Web Graphs.- Link Analysis of Web Graphs.- PageRank Algorithm Applied to Web Graphs.- Stochastic Simulations Of Search Engines.- Modeling Human Behavior on the Web.