摘要
传统的信息检索技术满足了人们一定的需要,但由于其通用的性质,仍不能满足客户不同背景、不同目的和不同时期的查询要求。 该文提出了一种基于概率模型的个性化信息搜索算法以提高搜索的速度和精度,最大限度地满足了客户的需要。
Although traditional information searching technologies satisfy some need of user, but it cann't satisfy all-purpose characteristics, they cannot satisfy any query from the different background with the different intention and at the different time. This article supplies a search algorithm based on probability model in order to improve search speed and precision, and satisfies need of customer at most.
出处
《计算机工程》
CAS
CSCD
北大核心
2004年第B12期8-9,96,共3页
Computer Engineering
基金
国家"863"计划基金资助项目(2001AA113160)
关键词
个性化
客户兴趣模型
搜索算法
Individuation
Customer interest model
Search algorithm
