Method and device generating flow quality comparison parameters and advertisement billing method

Abstract

Embodiments of the present application relate to a method for generating flow quality comparison parameters, a system for generating flow quality comparison parameters, and a computer program product for generating flow quality comparison parameters. A method for generating flow quality comparison parameters is provided. The method includes collecting click log data and transaction log data on relevant products or services advertised in off-site advertising spaces, generating off-site advertising space results data based at least in part on the click log data and the transaction log data, obtaining quality indicators of advertising flows of the corresponding off-site advertising spaces based on the off-site advertising space results data, and obtaining flow quality comparison parameters for the off-site advertising spaces based at least in part on the quality indicators of the advertising flows of the off-site advertising spaces.

Description

technical field [0001] The present application relates to the technical field of network communication, and in particular to a method and device for generating traffic quality comparison parameters, a method and device for recommending off-site advertising positions, and an advertising billing method and device. Background technique [0002] In the development of the Internet, advertising has always been a very important business model, and it is also the most important and direct profit model of the website at present. It is under the continuous promotion of Internet advertising that the Internet industry can be so prosperous. [0003] At present, advertisement delivery mainly includes two ways of on-site delivery and off-site delivery. Take a shopping website as an example, refer to figure 1 , which shows a schematic diagram of placing advertisements on a shopping website in the prior art, wherein the advertiser pays the price for placing the advertisement on the shoppin...

AI Technical Summary

Problems solved by technology

[0007] However, the above-mentioned process of manually formulating parameter information requires manual intervention, especially because it is mainly completed by artificial intuition and experience, so it has the disadvantages of being subjective and inaccurate

For example, for My Love Shopping Network (www.55bbs.com), which is a women's fashion website in nature, it is mainly used to publish some fashion information, women's shopping sharing, etc. If a person who does not have a deep understanding of the website is almost the first For those who contact this type of website for the first time, to formulate the traffic quality comparison parameters of the website’s off-site advertising space leading to Taobao women’s products, it is bound to not correctly reflect the value that I love shopping.com; in fact, I love shopping.com’s The quality of advertising traffic is still relatively high, but the parameter information formulated in this case is relatively low, so it is seriously inconsistent with the actual difference and imbalance in the quality of advertising traffic inside and outside the site

[0008] Furthermore, if all the traffic quality comparison parameters of off-site advertising positions are manually formulated, a group of professionals who understand the conditions of various industries will be required, which is undoubtedly a costly and inefficient task

[0009] In fact, from a technical point of view, on-site and off-site advertising traffic is a type of data resource, and the aforementioned existing technical solutions cannot accurately and objectively distinguish the quality difference between on-site and off-site advertising traffic, which leads to the resource utilization and configuration process. In , the effectiveness of resource utilization cannot be achieved

For example, adopting the above-mentioned prior art solution may lead to the fact that in the data processing process of Internet advertising data delivery, the advertising traffic resources on the site are basically fully utilized, and the advertising traffic resources outside the site cannot be fully utilized.

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