| dc.contributor.author |
Chang, Eric |
|
| dc.date.accessioned |
2017-12-15T14:17:39Z |
|
| dc.date.available |
2017-12-15T14:17:39Z |
|
| dc.date.issued |
2017 |
en_US |
| dc.identifier.uri |
https://hdl.handle.net/10535/10327 |
|
| dc.description.abstract |
"Tagging system is the killer application of Web2.0 services that can help users to share, tag and discover those interesting resources. In recent years, as tagging systems are gaining in popularity, many studies also indicated that tagging services are susceptible to tag spam: misleading tags that are generated in order to increase the popularity of some resources or simply to confuse users in the networks. In this report, we summarize both the representative tagging systems and the existing methods of defending against tag spam in the application. Through analyzing the existing tagging systems, we will propose the conclusions and future works at the end of the report." |
en_US |
| dc.language |
English |
en_US |
| dc.relation.ispartofseries |
Working Paper |
en_US |
| dc.subject |
computer science |
en_US |
| dc.subject.classification |
Computer Science |
en_US |
| dc.title |
Towards A Framework for Detecting Tag Spam |
en_US |
| dc.type |
Working Paper |
en_US |
| dc.type.methodology |
Case Study |
en_US |
| dc.publisher.workingpaperseries |
Yale University |
en_US |
| dc.coverage.region |
North America |
en_US |
| dc.coverage.country |
United States |
en_US |
| dc.subject.sector |
Information & Knowledge |
en_US |