基于个性化数据的搜索引擎技术研究

Research on the Search Engine Technologies Based on Personalized Data

文章在当前搜索技术研究成果基础上,使用数据挖掘领域前沿技术对海量网页数据进行分析处理,从内容存储、内容检索以及内容排名3个方面对搜索引擎算法进行重新建模,基于用户意图模型构建方式,使得提出的智能搜索算法更加贴合用户真实想法,符合用户日益个性化的信息搜索意图。

Based on the current research results of search technologies, this article uses the frontier technologies in the data mining field to analyze the huge volumes of web page data, and remodels the search engine algorithms from the perspective of content storage, content retrieval and content ranking. The construction of the model based on the user intention makes the proposed intelligent search algorithm closer to the user＇s real idea and conform with the user＇s daily personalized information search intention.