Paper
20 October 2022 Design and implementation of website user behavior prediction model based on FP-growth
Pingchuang Ma, Hongxing Ling
Author Affiliations +
Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124514G (2022) https://doi.org/10.1117/12.2656909
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China
Abstract
With the development of the Internet, more and more websites appear, providing users with more and more online services. In order to improve the convenience of the page, when the user completes an operation, the next possible function is provided for the user to switch easily. This paper proposes a user behavior prediction model based on the FP-Growth algorithm. Experiments show that the model is effective for feature recommendation.
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Pingchuang Ma and Hongxing Ling "Design and implementation of website user behavior prediction model based on FP-growth", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124514G (20 October 2022); https://doi.org/10.1117/12.2656909
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KEYWORDS
Data modeling

Mining

Data mining

Internet

Standards development

Systems modeling

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