Abstract
A framework for integrated personalization and management of multimedia content which allows non-intrusive observation of user actions over time, enabling collection of consumption-related data without explicit user input is presented. The system has been tested using the MovieLens dataset and preliminary recommendation experiments using only genre information yield results that are as good as, or better than, those previously published.
| Original language | English (US) |
|---|---|
| Pages | 413 |
| Number of pages | 1 |
| State | Published - 2002 |
| Event | Proceedings of the Second ACM/IEEE-CS Joint Conference on Digital Libraries - Portland, OR, United States Duration: Jul 14 2002 → Jul 18 2002 |
Other
| Other | Proceedings of the Second ACM/IEEE-CS Joint Conference on Digital Libraries |
|---|---|
| Country/Territory | United States |
| City | Portland, OR |
| Period | 7/14/02 → 7/18/02 |
Keywords
- Digital archive
- Embedded links
- Legislation
- Legislative history
- Permanent access
ASJC Scopus subject areas
- Software
- Information Systems
- Computer Science Applications
- Library and Information Sciences