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Data processing method based on big data and advertisement pushing and big data platform

An advertisement push and big data technology, applied in the field of big data platform, can solve the problem that the advertisement push technology is difficult to accurately match the actual needs of users.

Active Publication Date: 2021-02-26
上海东方财富金融数据服务有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the common advertising push technology is difficult to accurately match the actual needs of users

Method used

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  • Data processing method based on big data and advertisement pushing and big data platform
  • Data processing method based on big data and advertisement pushing and big data platform
  • Data processing method based on big data and advertisement pushing and big data platform

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Embodiment Construction

[0067] After researching and analyzing common advertisement push technologies, the inventor found that common advertisement push technologies are either large-scale indiscriminate push, or ignore the timeliness of user needs in personalized push. The first push method has a low probability of hitting the target user, and the second method is likely to cause a mismatch with the actual needs of the user. In this way, accurate advertising push will be greatly affected. To this end, the inventor innovatively proposed a solution that can conduct in-depth user behavior data analysis for each user, so as to customize the advertisement push guidance data corresponding to different users at different time periods, so as to ensure that the advertisement push Pertinence and timeliness, so as to achieve accurate advertising push.

[0068] In order to better understand the above technical solution, the technical solution of the present invention will be described in detail below through t...

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Abstract

According to the data processing method based on big data and advertisement pushing and the big data platform, the user label information, the behavior label information and the time sequence label information of the current user behavior data can be analyzed, and the first user behavior track is determined in combination with the reference user data, so as to determine third user behavior tracks,corresponding advertisement pushing information and advertisement clicking information of all key user behavior data in a preset database according to different user behavior data, and finally generate advertisement pushing guidance data for guiding the big data platform to carry out personalized customization of an advertisement pushing target. The advertisement pushing guidance data covers advertisement pushing contents, advertisement pushing time periods, advertisement pushing forms and the like, and deep user behavior data analysis can be performed for each user, so that the advertisementpushing guidance data corresponding to different users in different time periods can be customized in a personalized manner, the pertinence and timeliness of advertisement pushing can be ensured, andaccurate advertisement pushing is realized.

Description

technical field [0001] The present application relates to the technical field of big data and advertisement push, and specifically relates to a data processing method and a big data platform based on big data and advertisement push. Background technique [0002] With the development of big data and the Internet, online office and online entertainment have become the choice of most users. The way of selling products of various merchants has also shifted from offline to online, and pushing advertisements to smart terminals used by users for work or entertainment has become the mainstream advertising push mode today. However, the common advertising push technology is difficult to accurately match the actual needs of users. Contents of the invention [0003] The first aspect of the present application discloses a data processing method based on big data and advertisement push, the method comprising: [0004] Determine the user label information, behavior label information an...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06F16/9536
CPCG06Q30/0255G06Q30/0254G06F16/9536
Inventor 陈敏
Owner 上海东方财富金融数据服务有限公司
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