| 裴倩,王玉平.机会发现理论对推荐系统的改进[J].数字图书馆论坛,2012,(3):46~51 |
| 机会发现理论对推荐系统的改进 |
| The Improvement on Recommendation System Based on the Theory of Chance Discovery |
| |
| DOI： |
| 中文关键词: 机会;机会发现;推荐系统 |
| 英文关键词: Chance;Chance discovery;Recommendation system |
| 基金项目: |
|
| 摘要点击次数: 2137 |
| 全文下载次数: 1532 |
| 中文摘要: |
| 文章分析推荐系统的现状和存在问题,引入关注动态变化、发现隐性关联和弱信号的机会发现理论,依次从收集用户信息、掌握用户兴趣变化和匹配资源方面,探讨机会发现理论对推荐系统的改进.通过改进兴趣模型、建立自适应推荐模块、提供集成推荐等措施,提升推荐系统效率. |
| 英文摘要: |
| In this paper, current situation and problems of recommendation system are analyzed. Chance discovery theory is introduced to improve recommendation system, for the characteristics of paying more close attention to change, discovering the implicit relationship and weak signal. It is respectively analyzed from the following aspects: to collect user information, and to grasp the changes of users' interest and matching resources. Several measures are benefit to improve the recommendation system, such as to improve the interest model, to establish adaptive recommendation module and to provide integrated recommendation. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
