Uncovering Insights for New Car Recommendations with Sequence Pattern Mining on Mobile Applications

Uncovering Insights for New Car Recommendations with Sequence Pattern Mining on Mobile Applications

This study employs sequential pattern mining to analyze browsing behaviors and aid mobile app service providers in effectively promoting and recommending new products. We collected browsing history data from 66,004 mobile app users for new car info in Taiwan, totaling 1,263,614 records over two mont...

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Bibliographic Details
Main Authors:	Hsiu-Wen Liu, Jei-Zheng Wu, Ying-Hsuan Wang
Format:	Article
Language:	English
Published:	MDPI AG 2023-05-01
Series:	Applied Sciences
Subjects:	browsing behavior sequential pattern analysis new product recommendation
Online Access:	https://www.mdpi.com/2076-3417/13/11/6386

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