Trustworthiness, diversity and inference in recommendation systems
Recommendation systems are information filtering systems that help users effectively and efficiently explore large amount of information and identify items of interest. Accurate predictions of users' interests improve user satisfaction and are beneficial to business or service providers. Resear...
| Main Author: | |
|---|---|
| Other Authors: | |
| Language: | English en |
| Published: |
2016
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1828/7576 |