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SYSTEM AND METHOD FOR AUTOMATED BIDDING USING DEEP NEURAL LANGUAGE MODELS
SYSTEM AND METHOD FOR AUTOMATED BIDDING USING DEEP NEURAL LANGUAGE MODELS
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机译:使用深度神经语言模型自动竞标的系统和方法
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摘要
Systems, devices, and methods are disclosed for predicting potential effectiveness of query-triggered internet advertisements received from different web page publishers using a deep learning neural network language model for clustering queries, and for automatically adjusting bids for advertisements by advertisers based on the predicted potential effectiveness. Using query-clusters rather than queries for adjusting bids for advertisements allows for more accurate and more consistent bidding strategy despite of sparsity in historical advertisement performance data, higher return on investments for the advertisers, and higher revenue for the publishers of the advertisements.
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