以个性化检索为目的的自适应网站地图研究  

Research on the Self-adaptive Website Map for Personalized Retrieval

作　　者：唐晓玲[1] 

机构地区：[1]四川外语学院图书馆.重庆400031

出　　处：《情报理论与实践》2012年第10期104-107,共4页Information Studies:Theory & Application

基　　金：重庆市教委人文社会科学项目“重庆市高校数字图书馆资源共享工程的现状与对策研究”的成果,项目编号:12SKJ03

摘　　要：传统的个性化检索方法都需要建立和更新用户模型,消耗了大量的时间和空间。同时,用户执行的一次检索很可能与用户模型无关,采用用户模型可能会漏掉一些有益的结果,所以本文只从网站的拓扑结构出发,利用自适应算法为用户提供自适应网站地图,以达到个性化检索的目的。自适应算法只需执行3个简单的函数,大大节约了个性化的时间和系统空间。The traditional personalized retrieval methods need to build and update user models, which consume lots of time and space. Meanwhile, the retrieval made by the user may be unrelated with the user model, and the employment of the user model may miss some useful results. Therefore, this thesis only starts with the topological structure of the website, and uses the selfadap tive algorithm to provide the selfadaptive website map for users so as to reach the purpose of personalized information retrieval. The selfadaptive algorithm only needs to execute 3 simple functions, so it saves personalized time and system space greatly.

关 键 词：个性化信息服务 信息检索 拓扑结构 网站地图 

分 类 号：G203[文化科学—传播学]