Table of Contents
Web Personalization andRecommender Systems
What is Web Personalization
Personalization v. Customization
PPT Slide
PPT Slide
PPT Slide
Challenges and Pitfalls
Web Personalization
PPT Slide
PPT Slide
Learning Interface Agents
Letizia: Autonomous Interface Agent (Lieberman 96)
Consequences of passiveness
WebWatcher
Syskill & Webert (Pazzani et al 96)
Syskill & Webert Rating Pages
Syskill & Webert Rating Pages
Usage-Based Web Personalization
Clustering and User Profiles
Automatic Web Personalization:Offline Process
Automatic Web Personalization:Online Process
Real-Time Recommendation Engine
Recommendations Based on Association Rules
Discovering Aggregate Usage Profiles
Methodologies for the Discovery of Aggregate Profiles
Profile Aggregation Based on Clustering Transactions (PACT)
Recommendations Based on Aggregate Profiles
PACT - An Example
Recommendations Based on PACT
Integrating Content and UsageFor Personalization
Integration of Content Profiles
How Content Profiles Are Generated
How Content Profiles Were Generated
How Content Profiles Were Generated
Comparison of Recommendations(Example Based on ACR Site)
Comparison of Recommendations(Example Based on ACR Site)
Prediction Accuracy - Precision (Example Based on ACR Site)
Prediction Accuracy - Coverage (Example Based on ACR Site)
Example - ACR Demo Site(http://aztec.cs.depaul.edu/scripts/acr2)
Automatic Web PersonalizationExample - ACR Demo Site
Automatic Web PersonalizationExample - ACR Demo Site
Automatic Web PersonalizationExample - ACR Demo Site
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Author: Bamshad Mobasher
Email: mobasher@cs.depaul.edu
Home Page: http://maya.cs.depaul.edu/~mobasher/classes/cs589
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