Skip to main navigation
Skip to search
Skip to main content
Illinois Experts Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
A PLA-based privacy-enhancing user modeling framework and its evaluation
Yang Wang
, Alfred Kobsa
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A PLA-based privacy-enhancing user modeling framework and its evaluation'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Modeling Framework
100%
Personalization
100%
User Modeling
100%
Privacy-enhanced
100%
Privacy Preferences
66%
Controlled Experiment
33%
One-group
33%
Treatment Group
33%
Performance Evaluation
33%
Additional Resources
33%
User Groups
33%
Model Research
33%
Privacy Concerns
33%
User Reactions
33%
Individual Privacy
33%
High Traffic
33%
Privacy Control
33%
Privacy Regulation
33%
Support Compliance
33%
Personal Data
33%
Architectural Transformation
33%
Privacy Constraint
33%
Privacy Law
33%
Dynamic Privacy
33%
Software Product Line Architecture
33%
Computer Science
Modeling Framework
100%
User Modeling
100%
Privacy Preference
66%
Performance Evaluation
33%
Reconfiguration
33%
Privacy Concern
33%
Individual Privacy
33%
Treatment Group
33%
Personal Data
33%
Privacy Control
33%
Laws and Regulation
33%
User Individual
33%
Software Product Line
33%
Dynamic Privacy
33%
Product Line Architecture
33%