摘要
随着信息检索技术的飞速发展,个性化和智能化逐渐成为搜索技术的发展方向。本文针对用户提交兴趣的不全面性和输入检索信息的不明确性会在一定程度上降低查准率和个性化程度的问题,将手工定制建模技术与自动建模技术相结合,引入用户群组信息,提出一种兴趣模型更新算法,从而提高查准率,使搜索结果更加满足用户个性化需求。
With the rapid development of information retrieval technology, search technique is developing towards personalized and intelligent. In this paper, the custom-built user profile and the automatic user profile are combined, and the user group information is included to build the user model. An algorithm of updating the interest model is put forward to deal with the decrement caused by the incomplete of user interests and ambiguity of the retrieval information, so that the precision ratio is improved, and the personalized needs of users are satisfied.
出处
《微计算机信息》
2010年第33期155-156,25,共3页
Control & Automation
关键词
信息检索
个性化
搜索引擎
用户兴趣模型
information retrieval
personalized
search engine
user interest model
