E-commerce user data mining system based on big data environment and user display device thereof

Abstract

The invention provides an e-commerce user data mining system based on a big data environment and a user display device thereof, and relates to the technical field of e-commerce user data mining. The e-commerce user data mining system comprises a user mining information collection and display device, wherein the whole user mining information collection and display device is of a rectangular shell structure, an electromagnet electrically connected with the microcontroller is mounted on the top side surface of the inner end of the rectangular storage groove, so that a responsible person can identify whether a worker carries out statistics on screened keyword data in time according to regulations or not, and in this way, the worker is warned and forced to operate according to the regulations, so that lazy conditions and the like are avoided. The system solves the problem that hidden loss is caused due to the fact that part of workers have fluke mind because whether the workers carry out information statistics in time or not cannot be identified in the prior art and information statistics is not carried out in time.

Description

technical field [0001] The invention relates to the technical field of e-commerce user data mining, in particular to an e-commerce user data mining system and a user display device based on a big data environment. Background technique [0002] With the rapid development of Internet technology, e-commerce has also developed rapidly, and has become an important force to promote regional economic development. E-commerce urgently needs to obtain large-scale, high-quality data for analysis and research, so as to more intuitively reflect the development status of the regional e-commerce industry, and make timely information recommendation adjustments. [0003] In order to ensure timeliness, it is necessary to make corresponding information recommendations based on the highly repetitive keywords browsed and published by users at regular intervals. It will cause a delay in the information recommendation, but it is currently impossible to identify whether the staff has completed the...

AI Technical Summary

Problems solved by technology

[0003] In order to ensure timeliness, it is necessary to make corresponding information recommendations based on the highly repetitive keywords browsed and published by users at regular intervals. It will cause a delay in the information recommendation, but it is currently impossible to identify whether the staff members have completed the information statistics in a timely manner, which has caused some staff to have a fluke mentality, so that the information statistics were not performed in time, resulting in hidden losses

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