Network advertisement accurate putting method based on key words

A delivery method and technology for online advertising, applied in the field of keyword pricing scheme, can solve problems such as poor real-time performance, difficulty in optimization calculation, and unsatisfactory optimization effect.

Active Publication Date: 2015-11-18
广州市丰申网络科技有限公司
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AI Technical Summary

Problems solved by technology

[0010] In order to overcome the disadvantages of poor reliability, poor real-time performance, difficult optimization calculation and unsatisfactory optimization effect of existing network advertisement delivery methods, the present invention provides an A keyword-based precise delivery method for online advertisements with low cost and good optimization effect

Method used

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  • Network advertisement accurate putting method based on key words
  • Network advertisement accurate putting method based on key words
  • Network advertisement accurate putting method based on key words

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Embodiment Construction

[0116] The present invention will be further described below in conjunction with the accompanying drawings.

[0117] refer to Figure 1 ~ Figure 3 , a keyword-based precise delivery method for online advertisements, including keyword analysis to determine keyword information, particle swarm algorithm parameter determination and calculation optimization process;

[0118] The first step, keyword analysis to determine keyword information

[0119] The purpose of keyword analysis is to obtain the necessary keyword information for the system to formulate keyword pricing strategies. The process is as follows:

[0120] 1.1) Import the time distribution of Internet users, and use MATLAB to fit the function as Figure 1 As shown, the netizen online time distribution function F is obtained (t) ;

[0121] 1.2) Determine the number of keywords to be placed, which is the particle dimension d;

[0122] 1.3) Choose CPC pricing model, CPM pricing model or hybrid pricing model according to...

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Abstract

The invention discloses a network advertisement accurate putting method based on key words. The method comprises the following steps: step one, determining key word information through a key word analysis, wherein the purpose of the key word analysis is to obtain necessary key word information made by a system for conducting a key word pricing strategy; step two, determining an optimization model, i.e., after the key word information is determined, determining the optimization model through selection of specific key words and a search engine; and step three, particle swarm algorithm parameter determination and calculation optimization, i.e., after the optimization model is determined, substituting the optimization model into a particle swarm algorithm, determining a fitness calculation function and a punishment function, employing different fitness functions according to different pricing models, calculating the fitness value of each particle, outputting global optimal fitness gbest, i.e., the lowest cost, and outputting a key word price reaching the fitness. The method provided by the invention is quite high in reliability, good in real-time performance, quite low in optimization calculation difficulty and quite good in optimization effect.

Description

technical field [0001] The present invention relates to a keyword pricing scheme oriented to online advertisement placement, aiming at the problem of advertiser's online advertisement placement strategy, based on the existing CPC and CPM models and the keyword bidding ranking mechanism widely accepted by search engines and advertisers today, Design an advertising delivery model to obtain the lowest cost for advertisers under the premise of achieving a certain amount of impressions or revenue. Background technique [0002] With the development of the Internet, online advertising has become an important means for companies to push products to the market. According to the "2014 Statistical Report on Internet Development in China", among many network applications, the utilization rate of search engines is as high as 80.3%. Search engines have proven to be the primary source of information for most Internet users. This makes search engines dominate the Internet marketing channe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/02
Inventor 陈晋音余晨光
Owner 广州市丰申网络科技有限公司
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