System and Method for Traffic Quality Based Pricing via Deep Neural Language Models

    公开(公告)号:US20170262878A1

    公开(公告)日:2017-09-14

    申请号:US15064310

    申请日:2016-03-08

    Applicant: Yahoo! Inc.

    CPC classification number: G06Q30/0244 G06Q30/0246 G06Q30/0256 G06Q30/0273

    Abstract: Systems, devices, and methods are disclosed for determining the quality of traffic received from different web page publishers, and setting a pricing structure for the different traffic based on the determined quality of traffic. Accurately determining the quality of traffic and/or clicks from different publishers allows the network system described herein to offer a fair marketplace with just return on investments (ROI) for advertisers, and offer a robust and accurate traffic quality based pricing model for publishers. Internet based technology, and in particular deep learning techniques available through a neural network, are utilized to determine the pricing structure based on click and/or web page traffic quality measurements generated through the deep learning techniques.

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