Modeling the Internet and the Web: Probabilistic Method and Algorithms

Pierre Baldi, Paolo Frasconi, Padhraic Smyth · Medical Entomology and Zoology · 2003

Preface. 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.

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