Preferences in Interactive Systems: Technical Challenges and Case Studies
Abstract
Interactive artificial intelligence systems employ preferences in both their reasoning and their interaction with the user. This survey considers preference handling in applications such as recommender systems, personal assistant agents, and personalized user interfaces. We survey the major questions and approaches, present illustrative examples, and give an outlook on potential benefits and challenges.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Dec 01, 2008
- Source ID
- 10.1609/aimag.v29i4.2197
Entities
People
- Bart Peintner
- Neil Yorke‐smith
- Paolo Viappiani
Organizations
- Defense Advanced Research Projects Agency
- Swiss National Science Foundation