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Exploration of the Function Mechanism of "Village Super" and "Village BA" in Hunan County Economy Based on Collaborative Filtering and Apriori Algorithm

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DOI: 10.23977/agrfem.2024.070110 | Downloads: 4 | Views: 83

Author(s)

Yuan Shao 1

Affiliation(s)

1 School of Computer and Electrical Engineering, Hunan University of Arts and Science, Changde, Hunan, 415000, China

Corresponding Author

Yuan Shao

ABSTRACT

In the rural economy of Hunan Province, the operation efficiency and market strategy of "Village Supermarket" and "Village BA" are of great significance for promoting local economic development. In order to explore the mechanism of collaborative filtering and Apriori algorithm in analyzing the economic activities of "Village Supermarket" and "Village BA", this study first introduces the position of "Village Supermarket" and "Village BA" in the county economy of Hunan Province, and the application value of data analysis technology in business decision-making. The method part describes in detail the steps of data collection, preprocessing, implementation of collaborative filtering algorithm and application of Apriori algorithm. By comparing and analyzing the execution time, diversity and coverage, we get the high efficiency of Apriori algorithm in dealing with specific data sets and its advantages in recommending diversity and coverage. Among them, the coverage of Apriori algorithm can reach up to 96%, the lowest value of Herfindal index is 0.07, and the highest execution time is only 3.2s. These findings provide important insights for understanding the mechanism of"Village Supermarket" and "Village BA" in the county economy of Hunan Province.

KEYWORDS

Collaborative Filtering, Apriori Algorithm, Coverage Rate, The Herfindahl Index

CITE THIS PAPER

Yuan Shao, Exploration of the Function Mechanism of "Village Super" and "Village BA" in Hunan County Economy Based on Collaborative Filtering and Apriori Algorithm. Agricultural & Forestry Economics and Management (2024) Vol. 7: 68-75. DOI: http://dx.doi.org/10.23977/agrfem.2024.070110.

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