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Visual data modeling and big data portraying method
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A data modeling and big data technology, applied in the field of big data analysis, can solve the problems of reducing marketing influence, different probability of marketing success, user fatigue, etc., to enhance clarity, reduce marketing costs, and improve push The effect of efficiency
Pending Publication Date: 2022-04-12
重庆汇博利农科技有限公司
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However, according to the different behaviors of different users, the probability of successful marketing at different times is different. For example, some users prefer to browse and buy at noon, while some prefer to browse and buy at night. If the push is always pushed, users will feel tired and reduce the influence of marketing.
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Embodiment 1
[0033] Such as figure 1 Shown:
[0034] A method for visual data modeling and big data portrait, a government affairs system, the government affairs system is equipped with a big data portrait system, characterized in that the big data portrait system includes:
[0035] Obtain user information, where user information includes: static information of the user's basic account and historical records, dynamic information of user behavior browsing;
[0036] Preprocess the obtained user information, use the Bayesian model to extract feature data, and generate corresponding feature labels;
[0037] The Airflow working platform processes the feature tags into a push strategy, and synchronizes the data to the business system, retrieves the corresponding feature push information, and pushes the push information corresponding to the feature tag to the user according to the push strategy;
[0038] Record the user's click and reading situation, classify and record the user's successful cl...
Embodiment 2
[0042] as attached image 3 Shown:
[0043] This embodiment can also be applied in marketing, including:
[0044] Obtain user information, where user information includes: static information of the user's basic account and historical records, dynamic information of the user's behavior browsing, and consumption information of the user's consumer goods;
[0045] The user information is obtained at least once, for example, ten times, to ensure that the information obtained by the user is comprehensive;
[0046] Preprocess the obtained user information, use the Bayesian model to extract feature data, and generate corresponding feature labels;
[0047] Preprocessing also includes clearing erroneous and abnormal data, filtering false information, recording data repetition frequency, ensuring that normal data can be effectively extracted when extracting feature data, reducing the number of operations, and reducing the impact of erroneous data on the follow-up ;
[0048] Such as ...
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Abstract
The invention relates to the technical field of big data analysis, in particular to a visual data modeling and big data portraying method. Comprising the steps that user information is acquired, the acquired user information is preprocessed, an Airflow working platform processes feature tags into push strategies, user clicking and reading conditions are recorded, a user portrait model is constructed, the reading conditions of different users are used for classification, user portraits are constructed according to the user portrait model, and accurate correspondence of the user portraits is achieved. And the clearness of the user portrait is enhanced, so that accurate pushing is realized. The reading conditions of different time periods indicate that the behavior time of different users is different, accurate marketing can be performed according to different consumption time periods, visual fatigue of the users cannot be caused, and meanwhile the marketing cost is reduced. The demands of the users are diversified, hierarchical and momentalized, and precise marketing must be based on an organic set of the users and system scenes, so that the demands of the users are deeply informed, and precise pushing is realized.
Description
technical field [0001] The invention relates to the technical field of big data analysis, in particular to a method for visual data modeling and big data portrait. Background technique [0002] The advancement of the mobile Internet has brought about a huge change in people's lifestyles. The government affairs system analyzes the quality of life of residents and monitors and analyzes user portraits. With the in-depth research and application of big data technology, the precise push of big data can deeply tap the potential value of the system. Therefore, the concept of "user portrait" based on big data technology is also increasingly concerned and mentioned. User portraits are a carrier that can combine qualitative and quantitative methods well. Through quantitative preliminary research, a more accurate understanding of the user group can be obtained, and in the later establishment of user roles, users can be well understood. Prioritize and sort out the core and large-scale ...
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