| 基于用户行为分析的自适应新闻推荐模型 |
| |
| 引用本文： | 高琳琦.基于用户行为分析的自适应新闻推荐模型[J].图书情报工作,2007,51(6):77-80. |
| |
| 作者姓名： | 高琳琦 |
| |
| 作者单位： | 天津师范大学管理学院 |
| |
| 摘 要： | 针对新闻浏览者的偏好易变等特点，通过度量在线用户的点击和阅读行为，依据其不同的阅读策略类型，分析其页面偏好，并综合各页面偏好和新闻偏好，以关键字偏好表的形式表示;然后设计自适应的评分推荐机制，动态地分析用户兴趣及其转移;设计学习机制，根据用户实际阅读的新闻，调整其关键字偏好，并采用模糊相似度来分析用户偏好结构与新闻结构的相似性，从而产生推荐。实验表明，所构造的模型能够提供良好的个性化新闻推荐服务。
|
| 关 键 词： | 个性化推荐 用户行为 需求偏好 学习策略 |
| 收稿时间： | 2006-11-08 |
| 修稿时间： | 2006-11-052006-12-25 |
Adaptive News Recommended Model Based on Users' Behaviors Analysis |
| |
| Gao Linqi.Adaptive News Recommended Model Based on Users'''' Behaviors Analysis[J].Library and Information Service,2007,51(6):77-80. |
| |
| Authors: | Gao Linqi |
| |
| Institution: | Management School of Tianjin Normal University, Tianjin 300387 |
| |
| Abstract: | According to the characteristics of Web news browser, such as inconstancies of preference, user's online behaviors are measured. Firstly, user's page preference and news preference are analyzed at the basis of user's reading strategies to form a table of keywords-preferences. Then, the adaptive recommended mechanism is designed to deal with the changes of user's preference. Learning mechanism is also designed to adjust the keywords-preferences of user, based on news actually read by users. At last, fuzzy method is applied to analyze similarity between user's preference and news structure to produce recommendations. The proposed model has been approved to have higher capability than traditional method. |
| |
| Keywords: | user's behavior requirement preference personalized recommendation learning strategy |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《图书情报工作》浏览原始摘要信息 |
| 点击此处可从《图书情报工作》下载免费的PDF全文 |
