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SYSTEMS AND METHODS FOR UTILIZING MACHINE LEARNING MODELS TO GENERATE CONTENT PACKAGE RECOMMENDATIONS FOR CURRENT AND PROSPECTIVE CUSTOMERS
SYSTEMS AND METHODS FOR UTILIZING MACHINE LEARNING MODELS TO GENERATE CONTENT PACKAGE RECOMMENDATIONS FOR CURRENT AND PROSPECTIVE CUSTOMERS
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机译：利用机器学习模型为当前和潜在客户提供内容包建议的系统和方法
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摘要
A device may receive, from a user device, user data and a request associated with content, wherein the user data identifies an action of a user of the user device, a behavior of the user, or a feature associated with the user. The device may receive constraint data identifying one or more constraints associated with the content, and may process the request, the user data, and the constraint data, with machine learning models, to determine a response to the request, wherein the response to the request includes a recommended set of the content for the user, and wherein the machine learning models have been trained based on historical requests associated with the content, historical user data associated with other users of other user devices, historical constraint data, or historical content data associated with the content. The device may perform one or more actions based on the response.
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