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Defending against Peer-to-Peer Pollution Behaviors

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Type: Working Paper
Author: Chang, Eric
Date: 2018
Agency: Yale University
Series: Working Paper
URI: https://hdl.handle.net/10535/10391
Sector: Information & Knowledge
Region: North America
Subject(s): models
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."

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