| Combing customer profiles for members' return visit rate predictions | |
|---|---|
| 學年 | 101 |
| 學期 | 2 |
| 出版（發表）日期 | 2013-02-01 |
| 作品名稱 | Combing customer profiles for members' return visit rate predictions |
| 作品名稱（其他語言） | |
| 著者 | Chen, Chun-Hao; Chiang, Rui-Dong; Wong, Yi-Hsin; Chu, Huan-Chen |
| 單位 | 淡江大學資訊工程學系 |
| 出版者 | Kumamoto: ICIC International |
| 著錄名稱、卷期、頁數 | International Journal of Innovative Computing, Information and Control 9(2), pp.503-523 |
| 摘要 | The major profit of companies in Taiwan is generated by online advertising and e-commerce. Effective advertising requires predicting how a user responds to an advertisement and then targeting (presenting the advertisement) to reflect users’ favor. As customers’ preferences may change over time, we take the different types of past behavior patterns of the registered members to capture concept drifts. Then, we combine the click preference index (CPI) and the preference drifts to propose a Behavioral Preference (BP) model, and to predict the members’ return visit rates in the specific category of the portal site. The marketers of the portal site can target the registered members with high return visit rates and design corresponding marketing strategies. The experimental results with a real dataset show that our model can effectively predict the registered members’ return visit rates. |
| 關鍵字 | |
| 語言 | en |
| ISSN | 1349-4198 |
| 期刊性質 | 國外 |
| 收錄於 | EI |
| 產學合作 | |
| 通訊作者 | Chiang, Rui-Dong |
| 審稿制度 | 否 |
| 國別 | JPN |
| 公開徵稿 | |
| 出版型式 | ,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/92491 ) |
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