Method for analyzing data service

A data business and business technology, applied in the fields of electrical digital data processing, special data processing applications, instruments, etc., can solve the problem that the model prediction improvement index is not as good as the correlation model, the coverage of potential customers is insufficient, and the prediction results of the type preference model are not accurate enough, etc. problems to ensure accuracy, enhance user perception, and avoid limitations

Active Publication Date: 2013-06-19
ZUNYI BRANCH OF CHINA MOBILE GRP GUIZHOU COMPANY
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Problems solved by technology

[0005] The type preference model excavates the logical relationship between businesses and realizes the combination of quantitative and qualitative analysis. The prediction effect of the business in the introduction period is worse than that of the association model, but for the mature business, the prediction result of the type preference model is not accurate enough, and the

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  • Method for analyzing data service

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[0052] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0053] Based on the limitations of the application of a single model, the present invention creatively proposes to integrate the association model and the type preference model, use the principal component analysis algorithm to construct the data business relationship model, and then integrate the data business relationship model and the feature matching model to construct Data business integration analysis model to complement the advantages and disadvantages of a single model, while achieving combined analysis of data business. When the analysis result is used for data service recommendation, it can realize the combination recommendation of data service and improve the accuracy of data service recommendation. figure 1 It is a schematic diagram of t...

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Abstract

The invention provides a method for analyzing a data service. The method for analyzing the data service includes the following steps: building a correlation model and a type preference model based on using conditions of a user to the data service, and building a feature matching model; then building a data service relation model by making use of the correlation model and the type preference model, and building a data service integrated analysis model by using the data service relation model and the feature matching model; and finally analyzing the data service by means of the data service integrated analysis model and using the analysis result in data service recommendation. By means of the method for analyzing the data service, the accuracy of the analysis result is improved, the analysis result is used in the data service recommendation, and thus the precision of data service recommendation can be improved.

Description

Technical field [0001] The invention relates to the technical field of data service support, in particular to a method for analyzing data services. Background technique [0002] Currently, data service recommendation is mainly based on the product, and through data mining technology to find potential target user groups. Starting in this way, each model is independent and separated. At the same time, because each product is recommended separately, it consumes more recommendation resources and disturbs the user more frequently, making the user's perception weaker. [0003] Existing mainstream user preference mining methods mainly include association models, type preference models, and feature matching models. In a single view, each model has limitations in applicability. [0004] The correlation model has a good predictive effect on mature businesses, and is suitable for forecasting the relationship between businesses that have developed and mature and the customer base has already sh...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 李洪平王显明彭凯魏畅胡晓蓉曾庆红
Owner ZUNYI BRANCH OF CHINA MOBILE GRP GUIZHOU COMPANY
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