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Advertisement delivery effect evaluation method and device, and electronic device

A technology for advertising and advertising, applied in the field of Internet live broadcast, can solve the problems of not being able to reflect users in real time, and offline processing is not timely enough

Active Publication Date: 2018-11-27
WUHAN DOUYU NETWORK TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the evaluation of the effect of advertisement delivery is generally to evaluate the effect of advertisement delivery through the increase of user's click-through rate of advertisements offline, but this method has certain defects, for example, it cannot reflect the needs of users in real time, and often the needs of users are Changes with time, offline processing is obviously not timely enough

Method used

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  • Advertisement delivery effect evaluation method and device, and electronic device
  • Advertisement delivery effect evaluation method and device, and electronic device
  • Advertisement delivery effect evaluation method and device, and electronic device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0071] figure 1 It is a schematic flowchart of a method for evaluating the effect of advertisement delivery provided by Embodiment 1 of the present invention. The advertisement placement effect evaluation method disclosed in this embodiment can be executed by an advertisement placement effect evaluation device, wherein the device can be implemented by software and / or hardware, and is generally integrated in a terminal, such as a server. For details, see figure 1 As shown, the method includes the following steps:

[0072] 110. Obtain the feedback information corresponding to each advertisement in real time.

[0073] Wherein, the feedback information includes the attribute information of the advertisement and the user's demand information for the advertisement. The attribute information can specifically refer to the type of advertisement (such as electrical appliances, books, etc.); the location of the advertisement, specifically the location of the advertisement on the websi...

Embodiment 2

[0115] figure 2 It is a schematic flowchart of a method for evaluating the effect of advertisement delivery provided by Embodiment 2 of the present invention. On the basis of the above-mentioned embodiments, this embodiment is optimized. Further, the target clustering center output by the global clustering module is fed back to the prior knowledge storage module, so that the prior knowledge storage module stores the prior The prior knowledge is updated, and the latest prior knowledge is obtained from the prior knowledge storage module before each clustering operation on the feedback information through the local clustering module. The benefit of such optimization is to make the entire evaluation system reach the state balance, which further improves the speed, accuracy and real-time performance of the online clustering of the local clustering module. For details, see figure 2 As shown, the method includes the following steps:

[0116] 210. Obtain the feedback information ...

Embodiment 3

[0129] Figure 4 It is a schematic flowchart of a method for evaluating the effect of advertisement delivery provided by Embodiment 3 of the present invention. On the basis of the foregoing embodiments, this embodiment is further optimized. In the process of processing the feedback information data flow, the high-speed data circulation and information interaction have brought great pressure to the network. This embodiment compresses the elements in each cluster by using the feature vector to improve the The speed of data circulation and interaction is guaranteed, and the quality of data is guaranteed. For details, see Figure 4 As shown, the method includes the following steps:

[0130] 410. Obtain the feedback information corresponding to each placed advertisement in real time.

[0131] 420. Distribute the feedback information to one of a plurality of preset local clustering modules based on a set rule.

[0132] 430. Perform data compression processing on the elements in...

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Abstract

The embodiment of the invention discloses an advertisement delivery effect evaluation method and device, and an electronic device. The method includes: allocating feedback information corresponding toeach delivered advertisement acquired in real time to one local clustering module of a plurality of preset local clustering modules according to a setting rule; using the local clustering modules toperform clustering operation on the feedback information, and obtaining a first preset number of clustering centers; sending the plurality of clustering centers calculated by all the preset local clustering modules to a global clustering module in real time; using the global clustering module to perform clustering operation on the plurality of received clustering centers, and obtaining a second preset number of target clustering centers; and evaluating the delivery effect of each delivered advertisement according to the target clustering centers and the feedback information, wherein the numberof the plurality of preset local clustering modules is at least 2. The technical solution can achieve real-time evaluation of the advertisement delivery effect.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of Internet live broadcasting, and in particular, to a method, device and electronic equipment for evaluating the effect of advertisement delivery. Background technique [0002] Advertising is one of the main sources of income for Internet live streaming companies. How to effectively advertise is a skill that live streaming companies must master. [0003] Currently, there are two modes of advertising delivery: batch delivery and delivery based on personalized recommendations. Among them, batch delivery is to push the same advertising information to all users. This mode is available to most Internet companies; delivery based on personalized recommendation is fixed-point delivery according to user preferences. Feature analysis includes user gender, age, shopping habits and other information to deliver corresponding advertisements to users to meet the needs of users as much as possibl...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02G06K9/62
CPCG06Q30/0242G06Q30/0277G06F18/2321G06F18/23213
Inventor 肖源陈少杰张文明
Owner WUHAN DOUYU NETWORK TECH CO LTD
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