Web Communities
Produktnummer:
18dc68ee4956104388810ca7e23c2dc42a
Autor: | Hou, Jingyu Xu Yu, Jeffrey Zhang, Yanchun |
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Themengebiete: | ALS Content DOM Origin Web Web Clustering Web Data Management WebP Web Search Web Usage Mining |
Veröffentlichungsdatum: | 28.03.2006 |
EAN: | 9783540277392 |
Sprache: | Englisch |
Seitenzahl: | 187 |
Produktart: | Unbekannt |
Verlag: | Springer Berlin |
Untertitel: | Analysis and Construction |
Produktinformationen "Web Communities"
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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