摘要
文章提出了数字图书馆中的个性化信息检索系统,它进行联合资源发现,并根据用户的兴趣主动推送信息和对搜索结果进行排列、分类,从而使用户能够很容易地从数字图书馆中发现所需的内容。它所使用的用户兴趣建模方法为:以回答问题的方式让用户提供初始兴趣后,利用对检索结果的反馈信息和用户访问信息挖掘相结合的方法来更新用户兴趣模型。
The personalized index service system presented in this paper facilitates federated resource discovery, which learns the model of user's interests and using the model to push interesting information and sort the search results, so that users are able to easily and quickly find interesting objects in federated digital library. The personalized service system learns the model of user's initial interests after user provides his or her interests, and the system updates the model according to user's access log and user's feedback to search results.
出处
《微电子学与计算机》
CSCD
北大核心
2002年第7期1-4,共4页
Microelectronics & Computer
基金
国家863计划资助项目(863-306-ZD11-03)
