We investigate how to capture the interests of users in Ambient Intelligence (AmI) environments. The goal is to design environments that anticipate the users’ goals based on the users’ profiles and domain knowledge. Recommender systems for AmI environments can structure their recommendations based on the goals the users have. We discuss (our) research on structuring recommendations and investigate the capturing of user interests in AmI environments. For the latter we look at possibilities to capture the user’s interests from sensors in the environment.
|Conference||Proceedings IADIS International Conference on Intelligent Systems and Agents (ISA 2007), Lisbon, Portugal|
|Period||1/07/07 → …|
- HMI-IE: Information Engineering
- Recommender Systems
- human computing
- Ambient Intelligence