Big data mining method

A data and quantitative technology, applied in the field of big data mining, can solve problems such as inaccurate clustering and inability to reflect user behavior characteristics well, and achieve the effect of reducing the amount of calculated data and accurately dividing user groups

Inactive Publication Date: 2018-01-09
FOSHAN SHENYAN INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The technology used during this process allows people with similar demographics but who are very likely to have an interest in something else (like health) also get involved into analyzing their behavior better than before they join them together. This helps identify groups based upon similarity between these two populations rather than just comparing each individual's characteristics like age or gender.

Problems solved by technology

The present technology described by this patents relates to improving computer processing capabilities through cluster analysis techniques used during cloud-based data management systems. These improvements aim at accurately identifying specific attributes called clusters within datasets with similar content but varying degrees of relevance. This helps improve efficiency and accuracy when analyzing huge amounts of data collected over time.

Method used

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  • Big data mining method

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Embodiment Construction

[0031] 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.

[0032] figure 1 A schematic flow chart of the big data mining method provided by the embodiment of the present invention, the method includes steps:

[0033] S101: Obtain the quantity of commodities in the user's browsing data.

[0034] In the solution provided by the embodiment of the present invention, the quantity of commodities in the user's browsing data can be obtained in the corresponding browsing behavior of the user. The service operator will store the

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Abstract

Embodiments of the invention provide a big data mining method. The method comprises the following steps of: obtaining quantity of commodities in user browsing data; classifying users according to thequantity of commodities in each piece of user browsing data so as to determine a target user set; obtaining a single user feature vector of each user in the target user set; and grading the target user set on the basis of a clustering algorithm according to the single user feature vectors so as to determine graded user sets, wherein the quantity of the graded user sets is equal to the quantity ofpredetermined grades. By applying the big data mining method, the data volume of operation can be decreased in a more targeted manner on one hand, and interference, for the clustering effect, of different types of user data can be eliminated on the other hand, so that the user population division is more correct, and accurate and personalized services can be conveniently carried out according to the user population division result.

Description

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Claims

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Application Information

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Owner FOSHAN SHENYAN INFORMATION TECH CO LTD
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