Research Article
Modeling and Analysis of Dynamic Consumer Interest and Purchase Intention Based on Traffic Data
@INPROCEEDINGS{10.4108/eai.17-11-2023.2342730, author={Bingquan Wu and Hongyan Chen and Yingyi Huang}, title={Modeling and Analysis of Dynamic Consumer Interest and Purchase Intention Based on Traffic Data}, proceedings={Proceedings of the 5th International Conference on Economic Management and Model Engineering, ICEMME 2023, November 17--19, 2023, Beijing, China}, publisher={EAI}, proceedings_a={ICEMME}, year={2024}, month={2}, keywords={traffic data; dynamic interest; purchase intention; modeling analysis}, doi={10.4108/eai.17-11-2023.2342730} }- Bingquan Wu
Hongyan Chen
Yingyi Huang
Year: 2024
Modeling and Analysis of Dynamic Consumer Interest and Purchase Intention Based on Traffic Data
ICEMME
EAI
DOI: 10.4108/eai.17-11-2023.2342730
Abstract
In the era of the Internet, massive user data is becoming a precious resource. By analyzing user data, we can understand their behavior, interests, and preferences, and provide better services and products for users. Therefore, modeling and predicting user interests based on traffic data is crucial for the development of enterprises. By using Bisecting K-Means clustering algorithm,a dynamic interest recognition management model and a model to identify the implicit dynamic interests of users were developed in this study with the aim of analyzing the dynamic interests and purchase intentions of consumers. Analysis result show four types of interest transitions: attention, understanding information, attitude, and purchase intention. And users will exhibit different purchase intention behavior under the influence of these interest states.
