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REALTIME RESPONSE TO NETWORK-TRANSFERRED CONTENT REQUESTS USING STATISTICAL PREDICTION MODELS
REALTIME RESPONSE TO NETWORK-TRANSFERRED CONTENT REQUESTS USING STATISTICAL PREDICTION MODELS
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机译:使用统计预测模型对网络传输的内容请求的实时响应
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摘要
Techniques for leveraging existing statistical prediction models are provided. A first statistical prediction model is generated for a content item. An instruction is received to create a clone from the content item. In response to receiving the instruction, the clone is created based on attributes of the content item. A second statistical prediction model that is different than the first statistical prediction model is generated for the clone. In response to receiving a request for content, the clone is identified as relevant to the first request. A similarity between (1) first content of the content item and (2) second content of the clone is determined. If the similarity exceeds a similarity threshold, then the first statistical prediction model is used to generate a prediction of an entity user selection rate associated with the clone. Otherwise, the second statistical prediction model is used to generate the prediction.
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