Author(s)

Jian Wang ¹, Yang Liu ¹

Affiliation(s)

¹ Shandong Yantai Tobacco Co., Ltd., Yantai, 264000, China

Corresponding Author

Jian Wang

ABSTRACT

This paper proposes a warning system for brushing behavior based on the tobacco industry's reward activities by combining rule-based matching and Hidden Markov Models. Targeting behaviors where customers make large-scale purchases during promotional events that deviate from their individual historical consumption patterns, the system employs rule-based matching for initial assessment, followed by a more in-depth behavioral analysis using Hidden Markov Models. Experimental results demonstrate the significant effectiveness of the system in warning against brushing behavior, providing an effective monitoring tool for the tobacco industry and similar sectors.

KEYWORDS

Rule-based matching, Hidden Markov Model, Brushing behavior, Warning system, Tobacco industry, Consumer behavior, Point redemption

CITE THIS PAPER

Jian Wang, Yang Liu, Rule-based Matching and Hidden Markov Model-based Warning for Brushing Behavior. Journal of Artificial Intelligence Practice (2024) Vol. 7: 124-131. DOI: http://dx.doi.org/10.23977/jaip.2024.070119.

REFERENCES

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[2] Xiao Liping. Research on course teaching quality evaluation based on Hidden Markov Models[J]. Heilongjiang Higher Education Research. 2022, 40(01): 151-155.
[3] Yao Runqi. Unfair competition recognition of online brushing behavior[J]. China Price Supervision and Anti-Monopoly. 2023(03): 58-60.
[4] Peng Renwang. Application of multiple pattern matching algorithm in automatic detection of network intrusion[J]. Automation Technology and Applications. 2021, 40(03): 92-95+101.
[5] Wang Chao. Types, causes, and regulation of brushing behavior[J]. Journal of Fujian Police College. 2020, 34(01): 95-100.
[6] Zhang Xiangya. Research on water quality evaluation of fish ponds based on Hidden Markov Models[J]. Fujian Computer. 2023, 39(04): 67-69.

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