Web Communities
Analysis and Construction
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Beschreibung
The lack of uniformity in Web documents, and the sheer volume of Web data make conventional information retrieval techniques inadequate for management of Web data. Now comes Web Community, essentially a set of Web-based documents with consistent logical structure. The authors explain how to construct and analyze Web communities, introduce and explain the necessary algorithms, and examine successful existing applications. This book provides researchers and students in information retrieval and Web search with all the necessary basics and methods to create and understand Web communities, and adapt the samples provided for to new designs and implementations.
Systematically presents, describes and discusses representative algorithms for Web community construction and analysis Highlights various important applications of Web community Summarizes the main work in this area, and identifies several open research directions that readers can pursue in the future Includes supplementary material: sn.pub/extras
Autor*in
Yanchun Zhang
Themen in »Web Communities«
ALS Content DOM Origin Web Web Clustering Web Data Management Web Search Web Usage Mining WebP organization search engine marketing (SEM)
Stimmen zu »Web Communities«
The book can be used by applied mathematicians, search industry professionals, and anyone who wants to learn more about how search engines work. I recommend it for any course on Web information retrieval. I firmly believe that this book and the book by Langville and Meyer are the top two books about the algorithmic aspects of modern search engines. (Yannis Manolopoulos, Aristotle University, Thessaloniki, Greece in ACM REVIEWS)
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