Web Communities

?? Chapter 1: Introduction (10 pages) ???? -- Web Search, ???? -- Information Filtering ???? -- Web Community ?? Chapter 2: Preliminaries (30 pages) ???? -- Statistics ???? -- Similarity ???? -- Markov Model -- Matrix Expression of Hyperlinks ???? -- Eigenvector, Principle Engenvector, Secondary Engenvector ???? -- Singular Value Decomposition (SVD) of Matrix ???? -- Graph Theory Basis (Random walk) ?? Chapter 3: HITS and Related Algorithms (50 pages) ???? -- The Original HITS ???? -- The Stability issues ???? -- The Randomized HITS ???? -- The Subspace HITS ???? -- Weighted HITS ???? -- Vector Space Model (VSM) ???? -- Cover Density Ranking (CDR) ???? -- The In-depth Analysis of the HITS ???? -- HITS Improvement (a significant improvement to clever algorithm) -- Noise Page Elimination Algorithm Based on SVD ???? -- The PHITS algorithm (probabilistic HITS) ???? -- SALSA (Stochastic algorithm) ???? -- Random Walks and the Kleinberg Algorithm ?? Chapter 4: PageRank Related Algorithms (50 pages) ???? -- The Original PageRank ???? -- Probability Combination of Link and Content Information in PageRank ???? -- Topic-Sensitve PageRank ???? -- Search-Order: Breadth-First, Backlink, Random ???? -- Quadratic Extrapolation ???? -- Exporing the Block Structure of the Web for Computing PageRank ???? -- Second Eignevalue of the Google Matrix -- A Latent Linkage Information (LLI) Algorithm -- Web Page Scoring Systems (WPSS) -- Rank Aggregation ???? -- Random Suffer Method ???? -- Voting Model ???? -- SimRank (graph-based) ???? -- When Experts Agree: Using Non-Affliated Experts to Rank Popular Topics ??????-- PageRank, HITS and a Unified Framework for Link Analysis ?? Chapter 5: Web Classification and Clustering (50 pages) ??-- Web Document Similarity Measurement -- Web Document Classification Based on Hyperlinks and Document Semantics -- Clustering Hypertext with Applications to Web Search -- Link-based Clustering to Improve Web Search Results -- Measure Similarity of Interest for Clustering Web-Users -- Clustering of Web Users Using Session-based Similarity Measures -- Scalable Techniques for Clustering the Web -- Clustering web surfers with mixtures of hidden Markov Models -- Clustering User Queries of a Search Engine -- Using Web Structure for Classifying and Describing Web Pages ???? -- Matrix-Based Hierarchical Clustering Algorithms ?? Chapter 6: Web Log/Content Mining for Web Community (50 pages) ?? ???? -- Cut-and-Pick Transactions for Proxy Log Mining ???? -- Mining Web Logs to Improve Website Organization ???? -- Extracting Large-Scale Knowledge Bases from the Web ???? -- Mining the Space of Graph Properties ???? -- Discovering Test Set Regularities in Relational Domains (classification) ???? -- Enhanced Hypertext Categorization Using Hyperlinks ???? -- The Structure of Broad Topics on the Web ???? -- Discovering Unexpected Information from Your Competitors' Web Sites ???? -- On Integrating Catalogs ???? -- Web Community Mining and Web Log Mining: Commodity Cluster Based Execution ???? -- Building Cybercommunity Hierarchy ???? -- Automatic Topic Identification Using Webpage Clustering ???? -- A Special Method to Separate Disconnected and Nearly-Disconnected ?????????? Web Graph Components ?? Chapter 7: Web Community Applications (50 pages) ?? ??-- Link Structure Analysis for Finding Authoritative Images ???? -- Integrating DOM with Hyperlinks for Enhanced Topic Distillation and Information Extraction ???? -- What is the Page Known for? Computing Web Page Reputations ???? -- Retrieving and Organizing Web Pages by Information Unit -- Using Information Scent to Model User Information Needs and Actions on the Web ???? -- Designing Personalized Web Applications?? ???? -- Constructing Multi-Granular and Topic-Focused Web Site Map Based on Users Interests. ???? -- Guided Tours on the Web ???? -- Scaling Personalized Web Search ???? -- Computing Geographical Scopes of Web Resources ???? -- InCommonSense - Rethinking Web Search Results ???? -- Persona: A Contextualized and Personalized Web Search ???? -- Focused Web Crawling: A Generic Framework for Specifying the User Interest and for Adaptive Crawling Strategies ???? -- Focused Crawling Using Context Graphs ???? -- Intelligent Crawling on the Web with arbitrary predicates ?? Chapter 8: Concluding Remarks (10 pages) -- Summary -- Future Research