Modeling the Internet and the Web: Probabilistic Methods and AlgorithmsISBN: 978-0-470-84906-4
Hardcover
306 pages
July 2003
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1 Mathematical Background.
1.1 Probability and Learning from a Bayesian Perspective.
1.2 Parameter Estimation from Data.
1.3 Mixture Models and the Expectation Maximization Algorithm.
1.4 Graphical Models.
1.5 Classification.
1.6 Clustering.
1.7 Power-Law Distributions.
1.8 Exercises.
2 Basic WWW Technologies.
2.1 Web Documents.
2.2 Resource Identifiers: URI, URL, and URN.
2.3 Protocols.
2.4 Log Files.
2.5 Search Engines.
2.6 Exercises.
3 Web Graphs.
3.1 Internet and Web Graphs.
3.2 Generative Models for the Web Graph and Other Networks.
3.3 Applications.
3.4 Notes and Additional Technical References.
3.5 Exercises.
4 Text Analysis.
4.1 Indexing.
4.2 Lexical Processing.
4.3 Content-Based Ranking.
4.4 Probabilistic Retrieval.
4.5 Latent Semantic Analysis.
4.6 Text Categorization.
4.7 Exploiting Hyperlinks.
4.8 Document Clustering.
4.9 Information Extraction.
4.10 Exercises.
5 Link Analysis.
5.1 Early Approaches to Link Analysis.
5.2 Nonnegative Matrices and Dominant Eigenvectors.
5.3 Hubs and Authorities: HITS.
5.4 PageRank.
5.5 Stability.
5.6 Probabilistic Link Analysis.
5.7 Limitations of Link Analysis.
6 Advanced Crawling Techniques.
6.1 Selective Crawling.
6.2 Focused Crawling.
6.3 Distributed Crawling.
6.4 Web Dynamics.
7 Modeling and Understanding Human Behavior on the Web.
7.1 Introduction.
7.2 Web Data and Measurement Issues.
7.3 Empirical Client-Side Studies of Browsing Behavior.
7.4 Probabilistic Models of Browsing Behavior.
7.5 Modeling and Understanding Search Engine Querying.
7.6 Exercises.
8 Commerce on the Web: Models and Applications.
8.1 Introduction.
8.2 Customer Data on theWeb.
8.3 Automated Recommender Systems.
8.4 Networks and Recommendations.
8.5 Web Path Analysis for Purchase Prediction.
8.6 Exercises.
Appendix A: Mathematical Complements.
A.1 Graph Theory.
A.2 Distributions.
A.3 Singular Value Decomposition.
A.4 Markov Chains.
A.5 Information Theory.
Appendix B: List of Main Symbols and Abbreviations.
References.
Index.