| dc.contributor.author |
Chang, Eric |
|
| dc.date.accessioned |
2018-06-04T18:24:22Z |
|
| dc.date.available |
2018-06-04T18:24:22Z |
|
| dc.date.issued |
2018 |
en_US |
| dc.identifier.uri |
https://hdl.handle.net/10535/10391 |
|
| dc.description.abstract |
"In this report, we present a survey and comparison of various models on defending against content pollution. We categorize the various schemes into some groups and discuss the application-level model performance of each group. At end of the report, we present some future aspects on defending against content pollution; moreover, some important and useful evaluation results are in the report." |
en_US |
| dc.language |
English |
en_US |
| dc.relation.ispartofseries |
Working Paper |
en_US |
| dc.subject |
models |
en_US |
| dc.subject.classification |
Computer Science |
en_US |
| dc.title |
Defending against Peer-to-Peer Pollution Behaviors |
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 |