Defending against Peer-to-Peer Pollution Behaviors

Simple item page
dc.contributor.authorChang, Eric
dc.coverage.countryUnited Statesen_US
dc.coverage.regionNorth Americaen_US
dc.date.accessioned2018-06-04T18:24:22Z
dc.date.available2018-06-04T18:24:22Z
dc.date.issued2018en_US
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.identifier.urihttps://hdl.handle.net/10535/10391
dc.languageEnglishen_US
dc.publisher.workingpaperseriesYale Universityen_US
dc.relation.ispartofseriesWorking Paperen_US
dc.subjectmodelsen_US
dc.subject.classificationComputer Scienceen_US
dc.subject.sectorInformation & Knowledgeen_US
dc.titleDefending against Peer-to-Peer Pollution Behaviorsen_US
dc.typeWorking Paperen_US
dc.type.methodologyCase Studyen_US

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
p2p-reputation.pdf
Size:
349.59 KB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Working Paper