Abstract
Group Recommendation Systems (GRS's) assist groups when trying to reach a joint decision. I use probabilistic data and apply voting theory to GRS's in order to minimize user interaction and output an approximate or definite “winner item”.
| Original language | English |
|---|---|
| Pages (from-to) | 2400-2401 |
| Number of pages | 2 |
| Journal | Proceedings of the National Conference on Artificial Intelligence |
| State | Published - 2012 |
| Event | 26th AAAI Conference on Artificial Intelligence, AAAI 2012 - Toronto, Canada Duration: 22 Jul 2012 → 26 Jul 2012 |
All Science Journal Classification (ASJC) codes
- Artificial Intelligence