摘要
基于关键字匹配的搜索引擎系统无法反映用户的真实兴趣,由此不可避免地导致搜索结果的雷同。因此本文结合神经网络以及用户向系统提交的个性化信息对网络进行训练,从而构造了一个能够实施个性化搜索的实验系统,并给出了实验测试结果。
Traditional information retrieval system based on keyword matching cant fully image the user＇s genuine interest, therefore, results in repletion of identical information. Accordingly, this paper proposes a model for information retrieval based on user＇s personal information by combining the neural network technology; the search system can return the result pages that adapt to the user＇s interests. In the end, the experimental results are given.
出处
《攀枝花学院学报》
2009年第3期37-40,共4页
Journal of Panzhihua University
关键词
搜索引擎
神经网络
检索模型
search engine
neural network
retrieval model
