Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 10th International Conference on Information Integration and Web-based Applications and Services, iiWAS 2008 |
| Pages | 92-97 |
| Number of pages | 6 |
| Publication status | Published - 24 Nov 2008 |
| Event | 10th International Conference on Information Integration and Web-based Applications and Services, iiWAS 2008 - Linz, Austria Duration: 24 Nov 2008 → 26 Nov 2008 |
Publication series
| Name | Proceedings of the 10th International Conference on Information Integration and Web-based Applications and Services, iiWAS 2008 |
|---|
Abstract
In this paper we present metadata based recommendation algorithms addressing two scenarios within social desktop communities: a) recommendation of resources from the co-worker's desktop, and b) recommendation of metadata for enriching the own annotation layer. Together with the algorithms we present first evaluation results as well as empirical evaluations showing that metadata based recommendations can be used in such distributed social desktop communities.
Keywords
- Metadata, Recommendations
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Computer Science Applications
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
Proceedings of the 10th International Conference on Information Integration and Web-based Applications and Services, iiWAS 2008. 2008. p. 92-97 (Proceedings of the 10th International Conference on Information Integration and Web-based Applications and Services, iiWAS 2008).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Social recommendations of content and metadata
AU - Stecher, Rodolfo
AU - Demartini, Gianluca
AU - Niederée, Claudia
PY - 2008/11/24
Y1 - 2008/11/24
N2 - In this paper we present metadata based recommendation algorithms addressing two scenarios within social desktop communities: a) recommendation of resources from the co-worker's desktop, and b) recommendation of metadata for enriching the own annotation layer. Together with the algorithms we present first evaluation results as well as empirical evaluations showing that metadata based recommendations can be used in such distributed social desktop communities.
AB - In this paper we present metadata based recommendation algorithms addressing two scenarios within social desktop communities: a) recommendation of resources from the co-worker's desktop, and b) recommendation of metadata for enriching the own annotation layer. Together with the algorithms we present first evaluation results as well as empirical evaluations showing that metadata based recommendations can be used in such distributed social desktop communities.
KW - Metadata
KW - Recommendations
UR - http://www.scopus.com/inward/record.url?scp=70349096683&partnerID=8YFLogxK
U2 - 10.1145/1497308.1497329
DO - 10.1145/1497308.1497329
M3 - Conference contribution
AN - SCOPUS:70349096683
SN - 9781605583495
T3 - Proceedings of the 10th International Conference on Information Integration and Web-based Applications and Services, iiWAS 2008
SP - 92
EP - 97
BT - Proceedings of the 10th International Conference on Information Integration and Web-based Applications and Services, iiWAS 2008
T2 - 10th International Conference on Information Integration and Web-based Applications and Services, iiWAS 2008
Y2 - 24 November 2008 through 26 November 2008
ER -