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Defending against Peer-to-Peer Pollution Behaviors

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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

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