An Internet Information Distribution Channel Optimization System Based on Distributed Computing

An Internet information and distributed computing technology, applied in the field of Internet information delivery channel optimization system, can solve problems such as insufficient persuasion and poor contribution evaluation effect, and achieve the requirements of improving computing speed, reducing computer computing power and memory, The effect of reducing waiting

Active Publication Date: 2017-10-31
上海媒智科技有限公司
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

Obviously, the convincing power of this system is not enough, in fact, their evaluation effect on contribution is not good

Method used

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  • An Internet Information Distribution Channel Optimization System Based on Distributed Computing
  • An Internet Information Distribution Channel Optimization System Based on Distributed Computing
  • An Internet Information Distribution Channel Optimization System Based on Distributed Computing

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Embodiment Construction

[0021] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0022] Such as figure 1 As shown, the server-based information delivery model diagram in the present invention clearly shows that user information collection, user description file formation, and the recommendation module constructed by the present invention are all stored in the server and processed by the server. The client computer used by the user is not responsible for storing and processing user information.

[0023] Such as figure 2 As shown, in the present invention, the Internet inform...

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Abstract

The invention provides an Internet information putting channel optimizing system based on distributed computing. A data collecting module collects user behaviors; a data preprocessing module carries out data cleaning, integration and reduction, and simplifies and standardizes the collected user behavior information; a training module carries out iterative operation on the data in a training set by a class E-M algorithm, and parameters in a probability cumulative model are obtained; then, data in a test set is substituted into the probability cumulative model, so that the prediction on the contribution of each putting channel and the prediction on whether users are converted or not are completed; and websites or recommending types with a high contribution degree are subjected to information putting, and the information is put to users most possible to generate conversion. Meanwhile, an Hadoop platform is used for distributed computing, and complicated computing consuming a great number of resources is distributed onto multiple nodes for computing, so that the multi-node parallel processing is realized.

Description

technical field [0001] The present invention relates to the technical field of the Internet, in particular to an Internet information distribution channel optimization system based on distributed computing. Background technique [0002] In the past ten years, the Internet has developed explosively. More and more people choose to socialize, play games, and shop online. Internet information recommendation has also become a very good way to promote products. This also allows companies to obtain a large amount of network data from which to track recommendation effects and return on investment. [0003] The purpose of research on the contribution of information distribution channels is to quantify the impact of different channels on user conversion behavior. By quantifying the contribution of each channel, the value of different marketing channels can be compared. These marketing channels include e-mail, affiliate marketing, display advertising, search advertising, social media,...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F9/4806G06F16/958
Inventor 张娅魏逸王宇晨
Owner 上海媒智科技有限公司
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