Learning to Rank Privacy Design Patterns: A Semantic Approach to Meeting Privacy Requirements.
Guntur Budi HerwantoGerald QuirchmayrA Min TjoaPublished in: REFSQ (2024)
Keyphrases
- third party
- learning to rank
- privacy requirements
- design patterns
- private information
- privacy policies
- data security
- sensitive information
- privacy preservation
- personal information
- software engineering
- ranking functions
- privacy preserving
- object oriented
- privacy protection
- loss function
- information retrieval
- privacy concerns
- document retrieval
- data privacy
- learning objects
- software architecture
- supervised learning
- process model
- data publishing
- software systems
- semantic web
- retrieval systems
- collaborative filtering
- high level
- database
- privacy preserving data mining
- relational databases
- training set
- learning algorithm
- machine learning
- data mining