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Systems and methods of predicting resource usefulness using universal resource locators including counting the number of times URL features occur in training data
Systems and methods of predicting resource usefulness using universal resource locators including counting the number of times URL features occur in training data
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机译:使用通用资源定位器预测资源有用性的系统和方法,包括计算URL特征在训练数据中出现的次数
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摘要
A method, system and apparatus are provided to train a usefulness prediction model to generate a usefulness prediction in connection with a given universal resource locator (URL), the training of the usefulness prediction model being based on a training set of URLs and a count of negative URLs and a count of positive URLs identified by the training set, and for each feature extacted from the URLs in the training set, a count of the positive URLs in the training set that include the feature and a count of the negative URLs in the training set that include the feature. One or more features of the given URL are extracted, and the extracted features are used together with the usefulness prediction model to generate a usefulness prediction for the given URL.
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