From Web to Social Web: Discovering and Deploying User and Content Profiles: Workshop on Web Mining, WebMine 2006, Berlin, Germany, September 18, 2006 / Edition 1

From Web to Social Web: Discovering and Deploying User and Content Profiles: Workshop on Web Mining, WebMine 2006, Berlin, Germany, September 18, 2006 / Edition 1

by Bettina Berendt
     
 

This book constitutes the refereed proceedings of the Workshop on Web Mining, WebMine 2006, held in Berlin, Germany, September 2006. Topics included are data mining based on analysis of bloggers and tagging, web mining, XML mining and further techniques of knowledge discovery. The book is especially valuable for those interested in the aspects of Web 2.0 and its

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Overview

This book constitutes the refereed proceedings of the Workshop on Web Mining, WebMine 2006, held in Berlin, Germany, September 2006. Topics included are data mining based on analysis of bloggers and tagging, web mining, XML mining and further techniques of knowledge discovery. The book is especially valuable for those interested in the aspects of Web 2.0 and its inherent dynamic and diversity of user-generated content.

Product Details

ISBN-13:
9783540749509
Publisher:
Springer Berlin Heidelberg
Publication date:
10/23/2007
Series:
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Series, #4737
Edition description:
2007
Pages:
164
Product dimensions:
6.14(w) x 9.21(h) x 0.38(d)

Table of Contents

An Analysis of Bloggers, Topics and Tags for a Blog Recommender System.- Combining Web Usage Mining and XML Mining in a Real Case Study.- Extracting and Using Attribute-Value Pairs from Product Descriptions on the Web.- Discovering User Profiles from Semantically Indexed Scientific Papers.- Web Usage Mining in Noisy and Ambiguous Environments: Exploring the Role of Concept Hierarchies, Compression, and Robust User Profiles.- From World-Wide-Web Mining to Worldwide Webmining: Understanding People’s Diversity for Effective Knowledge Discovery.- Aspect-Based Tagging for Collaborative Media Organization.- Contextual Recommendation.

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