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Web Communities : Analysis and Construction /

By: Zhang, Yanchun [author.].
Contributor(s): Yu, Jeffrey Xu [author.] | Hou, Jingyu [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.Description: XI, 187 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540277392.Subject(s): Computer science | Information storage and retrieval | User interfaces (Computer systems) | E-commerce | Computer engineering | Computer Science | Computer Engineering | Information Systems Applications (incl. Internet) | Information Storage and Retrieval | User Interfaces and Human Computer Interaction | e-Commerce/e-businessDDC classification: 621.39 Online resources: Click here to access online
Contents:
Preliminaries -- HITS and Related Algorithms -- PageRank Related Algorithms -- Affinity and Co-Citation Analysis Approaches -- Building a Web Community -- Web Community Related Techniques -- Conclusions.
In: Springer eBooksSummary: Due to the lack of a uniform schema for Web documents and the sheer amount and dynamics of Web data, both the effectiveness and the efficiency of information management and retrieval of Web data is often unsatisfactory when using conventional data management techniques. Web community, defined as a set of Web-based documents with its own logical structure, is a flexible and efficient approach to support information retrieval and to implement various applications. Zhang and his co-authors explain how to construct and analyse Web communities based on information like Web document contents, hyperlinks, or user access logs. Their approaches combine results from Web search algorithms, Web clustering methods, and Web usage mining. They also detail the necessary preliminaries needed to understand the algorithms presented, and they discuss several successful existing applications. Researchers and students in information retrieval and Web search find in this all the necessary basics and methods to create and understand Web communities. Professionals developing Web applications will additionally benefit from the samples presented for their own designs and implementations.
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Preliminaries -- HITS and Related Algorithms -- PageRank Related Algorithms -- Affinity and Co-Citation Analysis Approaches -- Building a Web Community -- Web Community Related Techniques -- Conclusions.

Due to the lack of a uniform schema for Web documents and the sheer amount and dynamics of Web data, both the effectiveness and the efficiency of information management and retrieval of Web data is often unsatisfactory when using conventional data management techniques. Web community, defined as a set of Web-based documents with its own logical structure, is a flexible and efficient approach to support information retrieval and to implement various applications. Zhang and his co-authors explain how to construct and analyse Web communities based on information like Web document contents, hyperlinks, or user access logs. Their approaches combine results from Web search algorithms, Web clustering methods, and Web usage mining. They also detail the necessary preliminaries needed to understand the algorithms presented, and they discuss several successful existing applications. Researchers and students in information retrieval and Web search find in this all the necessary basics and methods to create and understand Web communities. Professionals developing Web applications will additionally benefit from the samples presented for their own designs and implementations.

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