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METHOD AND SYSTEM FOR STATISTICAL TRACKING OF DIGITAL ASSET INFRINGEMENTS AND INFRINGERS ON PEER-TO-PEER NETWORKS

机译:对等网络上数字资产侵害和侵害者统计跟踪的方法和系统

摘要

Tracking digital asset infringement activities and infringers on peer-to-peer networks. One method for assessing notice effectiveness of unauthorized distributors of content on a peer-to-peer network comprises processing peer data from a plurality of peers on the network, wherein the peer data aids in identification of individual unauthorized distributors. The embodiment includes creating a trial with a trial base population of the unauthorized distributors and a trial capture window, determining metrics for measuring the notice effectiveness, selecting a randomization methodology for the trial, performing the trial with the trial base population over the trial capture window according to the randomization methodology and issuing notices to some of the unauthorized distributors. The method also includes characterizing the unauthorized distributors into characterized data of at least one of characterization of unauthorized distribution activity and characterization of notice actions, and segmenting the characterized data into groupings according to one or more variables.
机译:跟踪对等网络上的数字资产侵权活动和侵权者。评估对等网络上的内容的未授权分发者的通知有效性的一种方法包括处理来自网络上多个对等点的对等数据,其中,这些对等数据有助于识别各个未授权分发者。该实施例包括创建具有未授权分发者的试验基础人口和试验捕获窗口的试验,确定用于测量通知有效性的度量,选择该试验的随机化方法,在该试验捕获窗口上以该试验基础人口进行该试验。根据随机化方法并向一些未经授权的发行商发出通知。该方法还包括将未经授权的分发者表征为未经许可的分发活动的表征和通知动作的特征中的至少一项的特征化数据,以及根据一个或多个变量将表征的数据分段为分组。

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