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Table of contents
1 Introduction
1.1 Existing Information Filtering Systems
1.2 Lack of User Input in Communities of a Place
1.3 Implicit Input from HTTP Logs
1.4 Contributions
1.4.1 Identifying Users’ Clicks
1.4.2 A Passive Crowdsourced Information Filtering System
1.4.3 News Consumption Characterization
2 RelatedWork
2.1 Information Filtering Systems for the Web
2.1.1 Categories of Information Filtering Systems
2.1.2 Functional Taxonomy
2.1.3 Lack of User Input: Cold Start and Sparsity of Data
2.1.4 Characterizing Existing Tools
2.1.5 Tools for Communities
2.1.6 Evaluating Suggestions
2.2 Mining of Web Logs
2.3 News Characterization
2.4 Conclusion
3 Identifying Users’ Clicks
3.1 Detection of user-URLs
3.2 Online Algorithm
3.3 Dataset
3.4 Accuracy
3.5 Conclusion
4 WeBrowse: A Passive Information Filtering System for Communities of a Place
4.1 Overview
4.2 Design
4.2.1 Detection of Candidate-URLs
4.2.2 Content-URLs versus Portal-URLs
4.2.3 Privacy-Preserving Promotion
4.3 Deployments
4.3.1 Performance Evaluation
4.4 Evaluation
4.4.1 Effect of the crowd size
4.4.2 User study
4.4.3 Community of a Place Effect
4.4.4 Complementing Existing Systems
4.4.5 Speed of Content Discovery
4.4.6 Ethical and Legal Issues
4.5 Conclusion
5 News Consumption Characterization
5.1 Datasets
5.1.1 Data collection: Method and Vantage Points
5.1.2 From HTTP Traces to News Visits and Articles
5.1.3 Identifying Users: Households and Surfers
5.1.4 Dataset Description
5.2 News Referrals
5.3 News Categories
5.4 News Locality
5.4.1 Method: Text and Keywords Extraction
5.4.2 Method: Measuring interest
5.4.3 Results
5.5 Visited News versus Headlines
5.6 Visited News Articles per Day
5.7 Number and Sizes of News Stories
5.7.1 Method: Story Identification
5.7.2 Result
5.8 Visited News per User and News Addiction
5.9 News Freshness
5.10 Online Journals Clustering
5.10.1 Limits
5.11 Conclusion
6 Conclusion
6.1 Lessons from Users’ Clicks Extraction
6.2 Lessons from WeBrowse
6.3 Lessons from News Characterization
A Extended Performance Description
References




