personalized recommendation using implicit interaction information
文献类型：会议论文
| 作者 | Nancheng Liu ; Jiang Qingshan ; Chen HaiShan ; Wang Beizhan |
| 出版日期 | 2011 |
| 会议名称 | 6th International Conference on Computer Science and Education, ICCSE 2011 |
| 会议日期 | August 3, 2011 - August 5, 2011 |
| 会议地点 | Singapore, Singapore |
| 关键词 | Algorithms Computer science Education computing |
| 页码 | 1340-1345 |
| 中文摘要 | Currently, the information in the internet is becoming explosive. In order to help the users searching the items they are interested in, such as, the news, the books, in this paper, we propose an automatic personalized recommendation algorithm by constructing the social graph resting on the users' implicit interaction information. We at first introduce a metric to measure the users' affinity based on their implicit interaction information to construct a social graph, and then categorize the users into different clusters within which they will have similar tastes, finally, we use a personalized recommendation algorithm to recommend the items shared in the same cluster to the users. The experiments on a book data set are performed to demonstrate that our proposed method can well generate the recommendations which users will be interested in with high accuracy and efficiency. © 2011 IEEE. |
| 英文摘要 | Currently, the information in the internet is becoming explosive. In order to help the users searching the items they are interested in, such as, the news, the books, in this paper, we propose an automatic personalized recommendation algorithm by constructing the social graph resting on the users' implicit interaction information. We at first introduce a metric to measure the users' affinity based on their implicit interaction information to construct a social graph, and then categorize the users into different clusters within which they will have similar tastes, finally, we use a personalized recommendation algorithm to recommend the items shared in the same cluster to the users. The experiments on a book data set are performed to demonstrate that our proposed method can well generate the recommendations which users will be interested in with high accuracy and efficiency. © 2011 IEEE. |
| 收录类别 | EI |
| 会议录 | ICCSE 2011 - 6th International Conference on Computer Science and Education, Final Program and Proceedings
 |
| 语种 | 英语 |
| ISBN号 | 9781424497188 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16308]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Nancheng Liu,Jiang Qingshan,Chen HaiShan,et al. personalized recommendation using implicit interaction information[C]. 见:6th International Conference on Computer Science and Education, ICCSE 2011. Singapore, Singapore. August 3, 2011 - August 5, 2011. |
入库方式： OAI收割
来源：软件研究所
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