Information real-time pushing method and device, computing device and medium

A behavioral and historical user technology, which is applied in computing, digital data information retrieval, marketing, etc., can solve problems such as large R&D investment, major corporate ties, and low timeliness, so as to ensure real-time performance and accuracy, and improve competitiveness , the effect of reducing R&D investment

Inactive Publication Date: 2020-01-14
NANJING LINGXING TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The offline processing time of this kind of massive data is relatively long, and the timeliness is generally not high. The lag of data timeliness will prevent users from enjoying the benefits brought by information recommendation solutions online in real time; secondly,

Method used

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  • Information real-time pushing method and device, computing device and medium
  • Information real-time pushing method and device, computing device and medium
  • Information real-time pushing method and device, computing device and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0026] figure 1 It is a flow chart of a real-time push method of information provided by Embodiment 1 of the present invention. This embodiment is applicable to the situation where the target user pushes information to the target user when the target user generates a real-time behavior that matches the target service. The method can It is performed by a real-time information push device, which can be implemented by software and / or hardware, and generally can be integrated in a terminal or server with data identification and processing functions, specifically including the following steps:

[0027] Step 110, when it is detected that the target user produces a real-time behavior matching the target service, acquire the real-time behavior data matching the target user, historical user characteristic parameter set, historical user label and user historical behavior data.

[0028] In this embodiment, the target service is a behavior parameter configured in advance by the server, an...

Embodiment 2

[0039] On the basis of the first embodiment above, this embodiment provides a specific method for determining the target user corresponding to the user based on the real-time behavior data, the historical user feature parameter set, historical user tags, and user historical behavior data of the target user. Implementation of at least one new user tag. Explanations of terms that are the same as or corresponding to those in the foregoing embodiments will not be repeated in this embodiment.

[0040] figure 2 It is a flow chart of a real-time push method of information provided by Embodiment 2 of the present invention, such as figure 2 As shown, the method includes the following steps:

[0041]Step 210, when it is detected that the target user produces a real-time behavior matching the target service, acquire the real-time behavior data matching the target user, historical user characteristic parameter set, historical user label and user historical behavior data.

[0042] In ...

Embodiment 3

[0063] image 3 A structural diagram of a real-time push device for information provided by Embodiment 3 of the present invention, the device includes: a data acquisition module 310 , a new user tag determination module 320 and an information push module 330 .

[0064] Among them, the data acquisition module 310 is used to acquire the real-time behavior data matching the target user, historical user feature parameter set, historical user tags and user historical behavior data when detecting that the target user produces a real-time behavior matching the target business The new user label determination module 320 is used to determine at least one new user label corresponding to the user according to the real-time behavior data, the historical user characteristic parameter set, historical user label and user historical behavior data of the target user; The information pushing module 330 is configured to push information matching the new user tag to the target user in real time a...

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Abstract

The invention discloses an information real-time pushing method and device, a computing device and a medium, and the method comprises the steps: obtaining real-time behavior data, a historical user feature parameter set, a historical user label and user historical behavior data matched with a target user when the fact that the target user generates a real-time behavior matched with a target business is detected; determining at least one new user label corresponding to the user according to the real-time behavior data, the historical user characteristic parameter set of the target user, the historical user label and the user historical behavior data; and pushing information matched with the new user label to the target user in real time according to the mapping relationship between the newuser label and the information. According to the embodiment of the invention, the problem of poor timeliness caused by offline data processing in the prior art is solved, the real-time performance andaccuracy of an information recommendation scheme are ensured, a user can enjoy discounts brought by the information recommendation scheme online in real time, the research and development investmentof an enterprise is reduced, and the competitiveness of the enterprise is improved.

Description

technical field [0001] Embodiments of the present invention relate to e-commerce technology, and in particular to a method, device, computing device and medium for real-time pushing of information. Background technique [0002] E-commerce generally refers to the realization of various commercial and trade activities of consumers in an open network environment in a wide range of commercial and trade activities around the world. Now that e-commerce is popular, the competition among major websites is also very fierce, so it is very important to push appropriate information to users. A good information recommendation scheme can make enterprises do better in operation. [0003] The core of the current popular information recommendation solutions is based on big data technology, which requires massive offline data collection and preprocessing, user profiling, modeling analysis, user labeling, and finally the process of outputting target user groups. [0004] The offline processin...

Claims

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Application Information

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IPC IPC(8): G06F16/9535G06F16/335G06Q30/02
CPCG06Q30/0222G06F16/337G06F16/9535
Inventor 朱礼勇蒋康康刘加乐宋文吉
Owner NANJING LINGXING TECH CO LTD
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