发明名称 Machine-assisted publisher classification
摘要 One or more computing systems can implement a classifier to classify content publishers as being likely to provide appropriate content or as being likely to provide inappropriate content. The classifier can gather information from previously classified publishers. The information from the previously classified publishers can used to train the classifier. Based on the training, the classifier can learn about traits, characteristics, and/or behavioral patterns, etc., associated with publishers that have been previously classified as being good as well as publishers previously classified as being bad. The classifier can then process information about an unclassified publisher to determine a classification for the unclassified publisher, as being good (and likely to provide appropriate content) or bad (and likely to provide inappropriate content).
申请公布号 US9201954(B1) 申请公布日期 2015.12.01
申请号 US201313782535 申请日期 2013.03.01
申请人 Amazon Technologies, Inc. 发明人 Azari David Rezazadeh;Mahalingam Divya;Bhadbhade Tanvi Milind;Payet Nadia
分类号 G06F17/30;G06F15/18 主分类号 G06F17/30
代理机构 Novak Druce Connolly Bove + Quigg LLP 代理人 Novak Druce Connolly Bove + Quigg LLP
主权项 1. A computer-implemented method for classifying content publishers, comprising: receiving data associated with a plurality of classified content publishers, the data including training data and testing data; training a classifier model using at least a portion of the training data; defining a first category of the classifier model, the first category identifying allowable content publishers; defining a second category of the classifier model, the second category identifying disallowable content publishers; defining a third category of the classifier model, the third category identifying content publishers needing further review; testing the classifier model using at least a portion of the testing data; determining that a precision level associated with the classifier model has at least met a specified precision threshold; receiving data associated with an unclassified content publisher; calculating a score for the unclassified content publisher based at least in part on processing the data associated with the unclassified content publisher using the classifier model; and classifying the unclassified content publisher as belonging to one of the first category, the second category, or the third category, the classifying being based upon the score for the unclassified content publisher.
地址 Reno NV US