利用互信息从用户查询日志中提取短语并与通用词典相结合构建主题式词典。
According to their mutual information, phrases are extracted from the log and they are combined with a general dictionary to construct a topic-specific dictionary.
本文研究的主要内容包括以下四个部分：首先，对用户查询日志中的检索规律展开研究。
The main content of this thesis consists of the following four parts: Firstly, we carried out the research on the analysis of retrieval rules in query logs.
本文通过对真实用户查询日志的标注和分析，发现基于规则的方法可以对用户意图进行有效的识别。
By analyzing and manually labeling a large number of real user query log, we found rules were very useful in identifying user intents.
用户查询日志是大量用户长期查询行为的记录，通过挖掘用户查询与用户日志之间的联系，构建相关词表，从而实现查询扩展。
Query log is a record of query behavior by a great quantity of users, it can Fred the related word list through mining the relation between query and query log, thus to realize the query extension.
系统把拦截的信息拆分为每一个IPS所检测出来的病毒的数字，这意味着用户无需查询日志来获得该方面信息。
The system breaks down capture information into number of viruses per IPS detection. This means users need not consult logs to get that information.
mqsilist之类的查询操作也是部署消息，因此也会在用户日志中看到相应的部署信息。
Querying operations like mqsilist is also a deploy message so you would notice deployment information in the userlog.
用户操作日志包括用户管理日志、黑车日志、登录注销日志的后台自动产生功能的设计与实现，以及用户对日志信息的查询、备份、导出等功能的设计与实现。
This part not only implements function of user management logs, black car logs, login and logout logs to automatically produce, but also logs query, logs backup, logs export etc for users.
用户操作日志包括用户管理日志、黑车日志、登录注销日志的后台自动产生功能的设计与实现，以及用户对日志信息的查询、备份、导出等功能的设计与实现。
This part not only implements function of user management logs, black car logs, login and logout logs to automatically produce, but also logs query, logs backup, logs export etc for users.
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