相关性反馈技术是改善查询的重要方法。
Technology is one of the most important methods in improving query.
相关性反馈是图像检索中一个重要的组成部分。
The relevance feedback is a important component of image retrieval.
知识库中权值的形成过程基于用户的相关性反馈。
本文介绍了文本检索中相关性反馈技术及相关性反馈模型。
This paper introduces the technology of relevance feedback and relevance feedback model in the text relevance.
本文详细介绍了基于相关性反馈技术的图像检索系统框架。
In this article, based on the introduction of framework of CBIR with relevance feedback, a real image retrieval system was constructed.
在此基础上，引入基于内容的图像相关性反馈技术及相关性反馈模型。
In this basis, the relevance feedback technology and relevance feedback model of content-based image retrieval.
在网络信息检索中，基于文档向量空间的分类、聚类、排序与相关性反馈需要计算相似度。
In network information retrieval, based on document vector space, class, cluster, ranking and relevance feedback need to compute similarity.
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.
本文就基于向量的相似度计算方案进行探讨，并论述了相似度在文档分类、聚类、排序与相关性反馈中的应用。
This paper explores vector-based similarity computing scheme, and discusses the application of similarity in class, cluster, ranking and relevance feedback.
要确保用户可以对网站内容的相关性和可用性进行评分，并鼓励他们多反馈。
Ensure that users can rate content on the site for its relevance and utility to them. Encourage feedback.
由于图像的低层视觉特征与高层概念的相关性较弱，且图像检索系统用户的主观性强，因此把用户模型嵌入到系统中，通过用户反馈来获得用户的检索意图是十分必要的。
Because of the weak correlation low level features and high level conception of images and different subjective perception of the system users, relevance feedback has been introduced to CBIR.
同时提出了采用相关反馈方法，根据用户对检索结果的相关性评价，客观地获取照片新闻主体的文字描述，使检索结果更接近用户目标。
According to user's relevant valuation to searching result, we suggest using relevance feedback to get keywords of news object objectively and make the searching result close to user's need.
同时提出了采用相关反馈方法，根据用户对检索结果的相关性评价，客观地获取照片新闻主体的文字描述，使检索结果更接近用户目标。
According to user's relevant valuation to searching result, we suggest using relevance feedback to get keywords of news object objectively and make the searching result close to user's need.
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