理解用户意图的搜索技术的出现，以及将结果和关键词进行关联的过程，也都已经改变了这个领域，使其更加可分析。
The emergence of Search which surfaces user intent, and the process of attaching bids to keywords have also changed the landscape making it much more analytical.
搜索引擎与用户交互、理解用户意图的主要途径是查询词，同时，在互联网环境下，用户输入发生错误的频率远高于传统文本。
Queries are the major facility for search engines to interact with users; and there exist lots of spelling errors in search queries.
通过语义推理、查询导航，以及对查询结果相关性反馈信息的处理，更好地理解用户查询意图；
By semantic inference, inquiring navigation and processing the correlation feedback information inquired out, the system can understands the intention of customer better.
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