摘要
面对因特网的海量信息,为了更好地实现基于用户兴趣的个性化信息服务,提出一种隐式地获取用户兴趣模型和更新用户兴趣模型的方法。这种方法不需要用户显式地提供兴趣信息,只需要用户浏览页面时的动作和浏览的内容来获取有用的信息,随后利用这些信息建立和更新用户兴趣模型。该模型能较好地描述用户的兴趣类型及兴趣度,提高个性化信息服务的效率。
Facing massive information from Internet, this paper proposes a method that can acquire user interest profile and update user interest profile to realize the personalized information service based on user＇ s interest as well as possible. This method does not need to provide explicitly the information user＇ s interested in. It only needs the actions and contents when users visit and browse Web pages to obtain useful information, subsequently, using those information to establish and update user interest profile. This profile can describe user＇ s interest type and interest degree well and enhance the personalized information service efficiency.
出处
《现代图书情报技术》
CSSCI
北大核心
2007年第6期52-55,共4页
New Technology of Library and Information Service
关键词
个性化
搜索引擎
用户兴趣
Personalization Search engine User profile
