| dc.creator (作者) | 楊亨利;Yang,Hsiao-Fang | zh_TW |
| dc.date (日期) | 2007-06 | en_US |
| dc.date.accessioned | 17-Jan-2009 16:06:40 (UTC+8) | - |
| dc.date.available | 17-Jan-2009 16:06:40 (UTC+8) | - |
| dc.date.issued (上傳時間) | 17-Jan-2009 16:06:40 (UTC+8) | - |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/27060 | - |
| dc.description.abstract (摘要) | Conventional collaborative recommendation approaches neglect weak relationships even when they provide important information. This study applies the concepts of chance discovery and small worlds to recommendation systems. The trust (direct or indirect) relationships and product relationships among customers are to find candidates for collaboration. The purchasing quantities and feedback of customers are considered. The whole similarities are calculated based on the model, brand and type of purchased product. | - |
| dc.format | application/ | en_US |
| dc.language | en | en_US |
| dc.language | en-US | en_US |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | New Trends in Applied Artificial Intelligence Lecture Notes in Computer Science Volume 4570, 2007, pp 943-952 | en_US |
| dc.subject (關鍵詞) | recommender system; social network; chance discovery; trust | - |
| dc.title (題名) | Recommender Agent Based on Social Network | en_US |
| dc.type (資料類型) | article | en |
