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Method and device for recommending service advertisement data

An advertising data and business technology, applied in the Internet field, can solve problems such as poor robustness, lower business advertisement recommendation hit rate, and difficulty in guaranteeing business advertisements, and achieve the effect of increasing clicks and registrations, and improving recommendation hit rate

Active Publication Date: 2021-03-16
TENCENT TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, business advertisements are mainly recommended through artificial experience, but due to the poor robustness of artificial experience, it is difficult to ensure that the recommended business advertisements can hit the user's favorite business, that is, the recommendation of business advertisements is reduced. Hit rate, thus unable to increase the number of clicks and registrations of business advertisements per unit time

Method used

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  • Method and device for recommending service advertisement data
  • Method and device for recommending service advertisement data
  • Method and device for recommending service advertisement data

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Embodiment Construction

[0022] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0023] See figure 1 , is a schematic flowchart of a business advertisement data recommendation method provided by an embodiment of the present invention, and the method may include:

[0024] S101: Acquire user service feature information of a target user and advertisement service feature information of target service advertisement data in a service advertisement data set, and calculate the The click-through rate corresponding to the ...

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Abstract

The embodiment of the invention discloses a service advertisement data recommendation method and device. The service advertisement data recommendation method comprises the steps of calculating the click rate corresponding to target service advertisement data associated with a target user according to advertisement service feature information and user service feature information; acquiring range information of target population to which the target user belongs and a target service source to which the target service advertisement data belongs, and searching the click registration rate commonly mapped with the range information of the target population and the target service source in a click registration rate mapping table; and calculating a recommendation weight value corresponding to the target service advertisement data associated with the target user according to the click rate and the searched click registration rate, and when the target service advertisement data is target user associated service advertisement data with the highest recommendation weight value in a service advertisement data set, enabling the target service advertisement data to act as recommendation data of thetarget user. The service advertisement data recommendation method can improve the recommendation hit rate of a service advertisement so as to improve the click rate and the registration amount of theservice advertisement within the unit time.

Description

technical field [0001] The invention relates to the field of Internet technologies, and in particular, to a method and device for recommending service advertisement data. Background technique [0002] With the development of the Internet, there are more and more types of services on the Internet. For example, there are hundreds of games in the game business. Therefore, how to recommend the services that users like to users is becoming more and more important. Advertising recommendation. At present, business advertisements are recommended mainly through manual experience. However, due to the poor robustness of manual experience, it is difficult to ensure that the recommended business advertisements can hit the services that users like, that is, the recommendation of business advertisements is reduced. Hit rate, and thus cannot increase the number of clicks and registrations of business advertisements per unit time. SUMMARY OF THE INVENTION [0003] The invention provides ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q30/02
Inventor 袁林尹程果周琦
Owner TENCENT TECH (SHENZHEN) CO LTD
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