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.
仅仅从2d表观特征出发，很难分析和识别精细的动作，更谈不上理解用户的意图。
Only with 2d appearance features, there exist a lot of difficulties in subtle motion analysis and recognition, and it is even more difficult to understand the user purpose.
目前由于没有结合语义的理解在自动问答领域中很难分析清楚用户表达的真正意图。
In the absence of combination with the semantic understanding, it is difficult to analyse the real intentions clearly in question answering.
这样一来，用户不需要阅读一大段关于在巴厘岛度假的文字，广告商会展示一张巴厘岛的图片，用户一瞬间就能理解广告的意图。
So rather than having you read a bunch of text about a holiday in Bali, maybe it can show a picture of Bali, and you understand it in a fraction of a second.
经过测试，并行模糊查询功能确实能够部分的做到理解用户的查询意图，同时也提高了查询速度。
After tested, the function of parallel fuzzy searching is really able to understand what the users want to a certain extent and improve the searching speed.
经过测试，并行模糊查询功能确实能够部分的做到理解用户的查询意图，同时也提高了查询速度。
After tested, the function of parallel fuzzy searching is really able to understand what the users want to a certain extent and improve the searching speed.
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