Design of Network Precision Marketing Based on Big Data Analysis Technology
In the process of big data processing, big data analysis is the core work content. After obtaining a large amount of data, we use related analysis technology to perform data processing and analysis to obtain knowledge. Its related content includes visual analysis, data mining, predictive analysis, s...
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Published in | 2020 International Conference on E-Commerce and Internet Technology (ECIT) pp. 77 - 81 |
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Main Author | |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.04.2020
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Subjects | |
Online Access | Get full text |
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Summary: | In the process of big data processing, big data analysis is the core work content. After obtaining a large amount of data, we use related analysis technology to perform data processing and analysis to obtain knowledge. Its related content includes visual analysis, data mining, predictive analysis, semantic analysis and data quality management. How to obtain big data, classify and store according to data types, mine valuable information from big data, and effectively apply big data in the field of precision marketing are hot topics of research. On the basis of researching the key technologies of big data analysis, this paper uses Hadoop big data to analyze and store the massive online logs generated by users' mobile terminals, and calculates and builds user characteristic databases. We use relevant analysis technology to analyze the user's location information, browsing and usage habits, hobbies, and focus content. At the same time, a precise marketing model is established according to user behavior characteristics and attributes, thereby improving the marketing effect of the enterprise. |
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DOI: | 10.1109/ECIT50008.2020.00026 |