| dc.contributor | 資管系 | |
| dc.creator (作者) | Lin, Qing-Feng;Yang, Heng-Li | |
| dc.creator (作者) | 楊亨利 | zh_TW |
| dc.date (日期) | 2011-10 | |
| dc.date.accessioned | 15-四月-2015 15:43:26 (UTC+8) | - |
| dc.date.available | 15-四月-2015 15:43:26 (UTC+8) | - |
| dc.date.issued (上傳時間) | 15-四月-2015 15:43:26 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/74597 | - |
| dc.description.abstract (摘要) | The explosion in social networking sites allows people interact with friends on web more frequently and easily. Thus, applications on social networking such like the social networking advertising have been regarded as a wonderful opportunity for marketing. In this study, we try to simulate the content sharing behavior in social networking sites and we optimize simulation parameters by using evolution strategy method with historical data and finally we build a system for predicting audience number and reaction information before sharing. The simulated information can be applied in marketing case selection, content design and content customization. © 2011 AICIT. | |
| dc.format.extent | 159 bytes | - |
| dc.format.mimetype | text/html | - |
| dc.relation (關聯) | Proceedings - 3rd International Conference on Data Mining and Intelligent Information Technology Applications, ICMIA 2011,論文編號 6108424, 180-183 | |
| dc.subject (關鍵詞) | Case selections; Content customization; Content design; Content Sharing; Evolution strategies; Historical data; share behavior; simulation; Simulation parameters; social networking site; Social networking sites; Data mining; Information technology; Marketing; Social networking (online); Social sciences computing | |
| dc.title (題名) | Simulating sharing behavior in social networking sites | |
| dc.type (資料類型) | conference | en |
