Big Data Analysis in Consumer Behavior
DOI:
https://doi.org/10.54097/r43xv996Keywords:
Big data; consumer behavior; machine learning.Abstract
As a matter of fact, big data is an increasingly prevalent tool in contemporary society and has been shown to benefit numerous industries. Given the importance of consumer behavior as a market indicator, big data analysis of such behavior is of great significance in modern life as well as decision makings. With this in mind, based on these examples, this study will gain insight into the methods by which big data can be used to analyze consumer behavior. To be specific, this research will analyze and expound upon three examples of previous research that employ big data to study consumer behavior. On this basis, this paper will discuss the limitations and future developments of big data applications in this field. According to the analysis, this paper emphasizes the potential of big data in consumption to stimulate economic growth. Overall, these results shed light on guiding further exploration of consumer behavior analysis.
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References
Liu L. A review of research on consumer behavior in e-commerce live streaming. Economic Research Guide, 2023, 12: 55-57.
Chen C. The Application of Software Engineering Technology in the Era of Big Data. Journal of Electronics and Information Science, 2023, 15.
Liu X. Use big data to study consumer behavior to implement marketing strategies. Modern Marketing (Early Issue), 2022, 11: 151-153.
Jin J, Miao H. Analysis of influencing factors of consumer decision-making behavior in big data environment. China business theory, 2022, 7: 29-31.
Zhou Tian. A brief discussion on big data analysis of consumer behavior. Western Leather, 2019, 41(24): 93+96.
Wen B, Li Y. Domain-oriented big data analysis process model conversion method. Computer and Digital Engineering, 2022, 50(04): 865-870+906.
Li X. Discussion on big data analysis methods of artificial intelligence technology. Hebei Agricultural Machinery, 2021, 10: 79-80.
Ning Z, Rong L, Zhang X, Pang Z. The impact of consumer perceived value on repeat purchase intention based on online reviews: by the method of text mining. Data Science and Management, 2021.
Kunja S R, Bramhani R, Acharyulu G. Examining ePWOM-purchase intention link in Facebook brand fan pages: Trust beliefs, value co-creation and brand image as mediators. IIMB Management Review, 2021, 19.
Madhu M, Mohanty B K, Satyabhusan D. Understanding consumer preference through fuzzy-based recommendation system. IIMB Management Review, 2021, 18.
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