A Case Study of Analyzing User Behavior with Google Analytics and Web Log
碩士 === 東吳大學 === 資訊管理學系 === 107 === The purpose of this study was to explore the behavioral patterns of users who successfully contact designers in the upholstery platform. Web Log are combined with GA data to determine the optimal number of clustering through the combination of grouping and dimensio...
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ndltd-TW-107SCU003960252019-08-03T15:50:41Z http://ndltd.ncl.edu.tw/handle/n2j2sv A Case Study of Analyzing User Behavior with Google Analytics and Web Log 結合Google Analytics與網路日誌分析使用者行為之個案探討 Chang Huang, Chun 張黃俊 碩士 東吳大學 資訊管理學系 107 The purpose of this study was to explore the behavioral patterns of users who successfully contact designers in the upholstery platform. Web Log are combined with GA data to determine the optimal number of clustering through the combination of grouping and dimension reduction. Finally, association rules are used to mine the behavior patterns of users in the within-cluster. The results show that the t-SNE in the dimension reduction method has a more significant effect on the clustering than the PCA. Based on the large itemsets of association rules, the user behaviors in the survey within-cluster are concluded: (1) the number of people is not necessarily proportional to the complexity of the user's behavior, (2) how to let the user quickly find the ideal designer is a key point, (3) brand awareness and website SEO are two major points that must be taken seriously. It is found that the GA tag is complementary to the web page tag, and the GA tag can provide user information that is not recognized in the web page. The results of the study can be further provided to website marketing personnel and managers as an aid to decision making. Cheng, Li-Chen 鄭麗珍 2019 學位論文 ; thesis 44 zh-TW |
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碩士 === 東吳大學 === 資訊管理學系 === 107 === The purpose of this study was to explore the behavioral patterns of users who successfully contact designers in the upholstery platform. Web Log are combined with GA data to determine the optimal number of clustering through the combination of grouping and dimension reduction. Finally, association rules are used to mine the behavior patterns of users in the within-cluster. The results show that the t-SNE in the dimension reduction method has a more significant effect on the clustering than the PCA. Based on the large itemsets of association rules, the user behaviors in the survey within-cluster are concluded: (1) the number of people is not necessarily proportional to the complexity of the user's behavior, (2) how to let the user quickly find the ideal designer is a key point, (3) brand awareness and website SEO are two major points that must be taken seriously. It is found that the GA tag is complementary to the web page tag, and the GA tag can provide user information that is not recognized in the web page. The results of the study can be further provided to website marketing personnel and managers as an aid to decision making.
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author2 |
Cheng, Li-Chen |
author_facet |
Cheng, Li-Chen Chang Huang, Chun 張黃俊 |
author |
Chang Huang, Chun 張黃俊 |
spellingShingle |
Chang Huang, Chun 張黃俊 A Case Study of Analyzing User Behavior with Google Analytics and Web Log |
author_sort |
Chang Huang, Chun |
title |
A Case Study of Analyzing User Behavior with Google Analytics and Web Log |
title_short |
A Case Study of Analyzing User Behavior with Google Analytics and Web Log |
title_full |
A Case Study of Analyzing User Behavior with Google Analytics and Web Log |
title_fullStr |
A Case Study of Analyzing User Behavior with Google Analytics and Web Log |
title_full_unstemmed |
A Case Study of Analyzing User Behavior with Google Analytics and Web Log |
title_sort |
case study of analyzing user behavior with google analytics and web log |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/n2j2sv |
work_keys_str_mv |
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