摘要
分析了汽车交易领域的特点,提出了汽车交易信息搜索引擎应具有的功能和系统架构。对Lucene的功能结构进行了研究,在此基础上给了系统的信息获取模块、索引创建模块、查询展现模块等实现的关键技术。并提出了一种改进的向量空间模型(VSM),引入了汽车信息属性的加权值,实现了主动推荐相似汽车信息的功能,并通过实验进行了验证,完成了汽车交易信息搜索引擎的设计与实现。
This paper analyzes the characteristics of the automobile trade market and system architecture of the automobile trade information search engine. Based proposes the functions and on the research of Lucene's functions and structure, it presents the strategy to implement the information gathering modle, index creation module and information query module in detail. It improves the Vector Space Model (VSM) by using the weighted values of automobile information, realizes the similar automobile information recommendation function, and completes the design of the automobile trade information search engine.
出处
《计算机系统应用》
2010年第6期29-32,共4页
Computer Systems & Applications