图书馆智能化信息推荐服务系统性能优化技术研究

Intelligent information recommendation service system performance optimization technology research

随着图书馆数字资源的愈加丰富和完善,为了提高资源信息的利用率,最终完成智能图书馆服务质量和水平的提高。本课题引入了相关的技术进行智能图书馆的智能化推荐服务系统的优化,基于Velocity模板引擎方法解决了不用访问数据库就可以直接进行静态页面的生成;在模块页面输出时,通过URL Connection技术的应用进行IO读写,实现模块化静态页面的生成,从而解决首页静态化问题;针对用户的查询进行系统中类别属性的索引,把索引结果进行存储并输出返回给用户,最后实现查询的提示,使系统更加优化。

As the library digital resources become increasingly rich and perfect,in order to improve the utilization rate of resource information,finishing the intelligent library service quality and level enhancement. This topic introduces the related technologies of intelligent library intelligent recommendation service system optimization,based on the Velocity template engine solution for static pages don't need to access the database can be directly generated; In the module,the output of the page via the URL Connection technology IO,speaking,reading and writing,the application of modularity generate static pages,so as to solve the problem of static home page; For the user's query system in the category attributes of the index,the index results are stored and output returned to the user,finally realizes the query hint,make the system more optimized.