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.

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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.

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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.

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