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Accurate pushing method and system for recovery website

A precise push and website technology, applied in transmission systems, special data processing applications, instruments, etc., can solve the problems of information accuracy, large quantities need to be screened, point-to-point push, and effective information cannot be pushed, etc., to achieve push The effect is good, the accuracy rate is improved, and the number of effects is small

Inactive Publication Date: 2018-09-04
石家庄正和网络有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This has certain limitations, such as point-to-point push cannot be achieved, other types of effective information cannot be pushed, and there are issues such as the accuracy of information and the need to screen for large quantities.
Therefore, simply pushing category information does not meet our requirements

Method used

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  • Accurate pushing method and system for recovery website
  • Accurate pushing method and system for recovery website
  • Accurate pushing method and system for recovery website

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Embodiment Construction

[0041] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0042] Such as figure 1 As shown, the present invention proposes a precise push method for recycling websites. The system architecture of the present invention divides precise push into three core layers, namely, the data layer, the calculation logic layer and the push layer. The data layer is the basis of data push, and users are associated with information through the data layer. The calculation logic layer is the core of precision push. Through feature mat...

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Abstract

The invention provides an accurate pushing method and an accurate pushing system for a recovery website. The method comprises the following steps: step S100 of collecting user dimension data and information dimension data of each user; step S200 of calculating the similarity between the information dimension data of the information publisher user A and the information dimension data of each of therest users, the similarity between the user dimension feature of the user A and the user dimension features of each of the rest users, and the similarity between the user dimension feature of the user A and the information dimension data set of each of the rest users, so as to respectively obtain similarity result sets between each user and the user A; step S300 of filtering the obtained result sets; step S400 of setting the result set having the similarity greater than a first threshold in the filtered result sets as recommend information; step S500 of scoring the recommend information according to the information weighted scoring method; and step S600 of pushing the information with a high score to the user. By combining the recommendation technology with the pushing technology, the invention improves the information pushing accuracy as well as the pushing effect.

Description

technical field [0001] The invention relates to the technical field of recycling websites, in particular to a method and system for accurately pushing recycling websites. Background technique [0002] In this Internet era with explosive growth of information, facing the extremely inflated amount of information, facing the huge pressure of "chaotic information space" and "data excess", people's hard pursuit and expectation of information suddenly become hesitant. Because even if you look at the information 24 hours a day, you can't finish reading it. What's more, there are a lot of useless and even untrue information in it. Therefore, it is particularly important to filter data and find the most suitable information for customers. With the continuous growth of the big data industry, the weight of the recommendation and push system in the enterprise is becoming more and more important. From Amazon’s Guess You Like it, to Alibaba’s Double Eleven hand shopping, all of them hig...

Claims

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Application Information

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IPC IPC(8): H04L29/08G06F17/30
CPCH04L67/55
Inventor 李铁亮
Owner 石家庄正和网络有限公司
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