Advertising New Products Based on Sequences Pattern of User's Browsing Behavior
| Autor: | Wang, Ying-Hsuan, 王瑩萱 |
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| Rok vydání: | 2016 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 104 There are many introduction APP attract users to download. If the APP can recommend related products than it will be more effective to the users. The research collect the membership action from vehicle APP. The purpose of this study is hope to analyze the members' browsing through the sequential pattern mining, assisting cars company to build APP to advertise new product recommended information. Using a sample of 68,503 membership, total cumulative 1,714,238 pen browsing history, during 2015/1/21 to 2015/3/31. In this study we use sequential pattern mining and choose higher browsing frequent sequences from automobile App membership browsing history. The results of this study can be used in reference associate product, it can also be used in recommend a new product to interested members through sequence analysis. Moreover the members of car App will have a better experience, at the same time develop the potential market to reach maximize advertising effectiveness. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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