Comment-based multi-view clustering of web 2.0 items
Clustering Web 2.0 items (i.e., web resources like videos, images) into semantic groups benefits many applications, such as organizing items, generating meaningful tags and impr...
Publications
1 shownFrequent Co-Authors
Researcher Info
- h-index
- 1
- Publications
- 1
- Citations
- 99
- Institution
- Chinese Academy of Sciences
External Links
Identifiers
- ORCID
- 0000-0002-4224-6450
Impact Metrics
h-index
1
h-index: Number of publications with at least h citations each.