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Advances in Web Mining and Web Usage Analysis

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Cover of 'Advances in Web Mining and Web Usage Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Adaptive Website Design Using Caching Algorithms
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    Chapter 2 Incorporating Usage Information into Average-Clicks Algorithm
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    Chapter 3 Nearest-Biclusters Collaborative Filtering with Constant Values
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    Chapter 4 Fast Categorization of Web Documents Represented by Graphs
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    Chapter 5 Leveraging Structural Knowledge for Hierarchically-Informed Keyword Weight Propagation in the Web
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    Chapter 6 How to Define Searching Sessions on Web Search Engines
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    Chapter 7 Incorporating Concept Hierarchies into Usage Mining Based Recommendations
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    Chapter 8 A Random-Walk Based Scoring Algorithm Applied to Recommender Engines
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    Chapter 9 Towards a Scalable k NN CF Algorithm: Exploring Effective Applications of Clustering
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    Chapter 10 Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach
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    Chapter 11 Predicting the Political Sentiment of Web Log Posts Using Supervised Machine Learning Techniques Coupled with Feature Selection
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    Chapter 12 Analysis of Web Search Engine Query Session and Clicked Documents
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    Chapter 13 Understanding Content Reuse on the Web: Static and Dynamic Analyses
Attention for Chapter 7: Incorporating Concept Hierarchies into Usage Mining Based Recommendations
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Citations

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Readers on

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15 Mendeley
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1 CiteULike
Summary Dimensions citations
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Chapter title
Incorporating Concept Hierarchies into Usage Mining Based Recommendations
Chapter number 7
Book title
Advances in Web Mining and Web Usage Analysis
Published by
Springer, Berlin, Heidelberg, August 2006
DOI 10.1007/978-3-540-77485-3_7
Book ISBNs
978-3-54-077484-6, 978-3-54-077485-3
Authors

Amit Bose, Kalyan Beemanapalli, Jaideep Srivastava, Sigal Sahar

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 13%
Ireland 1 7%
Slovenia 1 7%
Australia 1 7%
Unknown 10 67%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 40%
Researcher 3 20%
Other 2 13%
Professor > Associate Professor 2 13%
Student > Bachelor 2 13%
Other 2 13%
Readers by discipline Count As %
Computer Science 17 113%

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