Abstract: A model of individuation search engine method based on biological memory principles is proposed. In this model, corresponding memory module is established according to the basic memory principle model and exchanging relation between memory cells. The module is applied in the model of search engine, and relating page memory math updating model is created and realized by programming. Considering the memory capacity limitation of system and low use ratio of some accessed pages, the memory storage database is updated in real time. Setting of jumping steps makes the model more flexible. Users can set jumping steps by demand. Application proves that this model can meet individual requirement and increase searching efficiency.

Key words: memory principle, search engine, forgetting, memory cell

摘要： 提出一种基于记忆原理的个性化搜索引擎模型，根据记忆原理的基本模型与记忆元的转化关系生成相应的记忆模块，将该模块应用到搜索引擎模型中。建立了记忆模块页面记忆的数学更新模型并进行编程实现。鉴于系统存储容量的限制及一些访问过的页面利用率低的情况，对记忆存储库进行实时的更新。跳跃步数的设定使得该模型更具有灵活性，可根据用户需求设置跳跃步数。实验证明该模型能满足用户个性化的需求，提高搜索效率。

关键词: 记忆原理, 搜索引擎, 遗忘, 记忆元