Firstly, it must understand the user’s need correctly. Secondly, it can execute query tasks efficiently and accurately.
信息推荐技术需要解决的三个问题是:首先,要理解用户的需求;其次,是能高效、准确地执行查询任务;最后,能把结果很好地组织起来交给用户。
参考来源 - 基于Web挖掘的个性化推荐服务研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Execute query advisor to improve query design.
执行查询advisor工具来改善查询设计。
Therefore, how to efficiently and accurately execute query on a large number of XML data becomes an important topic.
因此，如何高效准确地查询大量的XML数据成为目前值得研究的一个重要课题。
In most OODB, data can only be got access by programming language, the end users have no simple tool to execute query.
在大多数面向对象数据库中，数据只能通过程序设计语言来存取，终端用户没有一个简单的工具执行查询。
应用推荐