Abstract
Recently many recommender systems have been developed to recommend items in online commerce markets, based on user preferences for a particular user, but they have difficulty in deriving user preferences for users who have not rated many documents. In this paper we use dynamic expert-group models to recommend domain-specific items or documents for unspecified users, while users give feedbacks of relative ratings over the recommended items or documents. In this system, the group members have dynamic authority weights depending on their performance of the ranking evaluations. We have tested two effectiveness measures on rank order to determine if the current top-ranked lists recommended by experts are reliable.
| Original language | English |
|---|---|
| Title of host publication | Web Intelligence |
| Subtitle of host publication | Research and Development - 1st Asia-Pacific Conference, WI 2001, Proceedings |
| Editors | Ning Zhong, Yiju Yao, Jiming Liu, Setsuo Ohsuga |
| Publisher | Springer Verlag |
| Pages | 136-140 |
| Number of pages | 5 |
| ISBN (Print) | 3540427309, 9783540427308 |
| DOIs | |
| Publication status | Published - 2001 |
| Event | 1st Asia-Pacific Conference on Web Intelligence, WI 2001 - Maebashi City, Japan Duration: 2001 Oct 23 → 2001 Oct 26 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 2198 |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 1st Asia-Pacific Conference on Web Intelligence, WI 2001 |
|---|---|
| Country/Territory | Japan |
| City | Maebashi City |
| Period | 01/10/23 → 01/10/26 |
Bibliographical note
Publisher Copyright:© Springer-Verlag Berlin Heidelberg 2001.
All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)