本文从另外一个角度讨论信息检索模型。
In this paper, information retrieval model is discussed in terms of logic.
提出一个基于二元语义的信息检索模型。
This paper proposes, a 2-tuple linguistic model of information retrieval.
传统信息检索模型的信息获取准确率较低。
Traditional information retrieval model has the problem of low accuracy when obtaining the information.
提出了一种基于交互式遗传算法的图像检索模型。
将广义覆盖粗糙集理论及其计算运用到信息检索模型。
This article applies the generalized covering rough set theory to information retrieval model.
同时构建了基于RDF的网络学习元数据的检索模型。
Besides, it establishes a search model of E-study metadata based on RDF.
通常，模型对象会检索模型状态并将其存储在数据库中。
Often, model objects retrieve and store model state in a database.
传统实例检索模型缺乏对不确定环境中不精确信息的适应性。
Traditional retrieval models of the case-based reasoning system lack of the adaptation to the imprecise information in uncertainty environment.
本文结合现有的智能技术，提出了一个个性化网络信息智能检索模型。
This paper puts forward a model of individual network information intelligent retrieval according to the characteristics of distributed network resources and the users 'interest.
本文论述了索引词的自动提取和检索模型所使用的主要技术进行了论述。
This paper discuss the main technology of automatic extraction of index word and retrieval model.
该文通过对传统图像库检索系统的改进，提出一个高效的图像库检索模型。
This paper presents an efficient retrieval model in pictorial databases by improving the traditional pictorial databases retrieving system.
自学习案例检索模型则缓解了案例检索时间随案例数目呈线性增长的问题。
Then a retrieval model of introspective learning is given to decrease the time of case retrieval, which can vary with the number of cases in case base obviously.
本文对布尔逻辑检索模型进行分析、对比，指出各自的优缺点和存在的问题。
The article is analyzing and contrasting the Boolean Retrieval Model, pointing its advantages and disadvantages respectively.
在研究现有文本信息检索技术的基础上，设计了基于推理网络的文本检索模型。
By the research on the existent IR (Information retrieval) technology, a text retrieval model based on inference network is designed.
比较详细的叙述了实例检索模型的建立及基于模糊优先比的相似实例检索过程。
The formation of retrieval model and the course of similar cases index based on fuzzy priority ratio is described in detail.
结果建立了一种五元组的语义信息检索模型，并给出了该模型的关键实现算法。
Results Model of semantic information search based on five-element-array is built, and realization arithmetic is given.
在传统检索模型的基础上，结合本体概念，提出一种基于领域本体的检索模型。
Compared with the traditional retrieval model, this paper proposes a retrieval model based on domain Ontology combining with the Ontology concepts.
并针对全切分分词算法进行了研究，给出了全切分分词方法算法中的并发检索模型。
Furthermore, according to the study on omni-segmentation, a model of parallel searching in word omni-segmentation algorithm is given.
实验结果表明，该问题检索模型可以根据用户请求提供具有较高质量的问答对答案。
Experimental results show that the model can provide answers with high-quality according to the users search requests.
本文对当前的经典检索模型及其研究进展进行介绍，并分析各个模型之间的优缺点。
This paper introduces several state-of-art retrieval models and analysis the advantages and disadvantages of them.
并且通过对模糊需求信息的建模，使设计检索模型更适合于表达设计重用的工程实际。
By modeling for the fuzzy requirement information, the model for design retrieval is more adapt to the design reuse engineering fact.
实验结果表明：在概率潜在语义检索模型中，词的正确切分能提高检索的平均精度。
Experimental results indicate that accurate segmentation can improve the effectiveness of retrieval based on PLSA.
另外，统计语言模型自从被应用到信息检索领域就被认为是优秀的信息检索模型框架。
In addition, since the statistical language model was applied to the IR area, it has been regarded as a very good IR framework and been widely researched.
目前已有的检索模型有布尔模型、向量模型、概率模型以及以上三个经典模型的变形模型。
At present there are the Boolean model, the vector space model, the probabilistic model and distorted model of the above three classic models.
基于这种思想，提出一种多模态视频检索模型以及相应的手动式搜索和交互式搜索的算法方案。
We propose a multimodal retrieval model in this paper and introduce the corresponding algorithms of manual search and interactive search.
而统计语言模型和IR相结合后所形成的IR模型的提出，是信息检索模型研究上的重大进展。
The proposition of IR model formed after statistical language model combined with IR has great progress at information retrieval model research area.
实验显示，这两个检索模型的精确率与关键词检索模型保持基本一致，召回率却得到较大提高。
Experiments show that the precision of the two retrieval models is the same as keywords retrieval model, but the recall rate is improved greatly.
分析了传统向量空间检索模型在网络信息检索中的不足，给出了基于文档结构的向量空间检索模型。
Based on the analysis of the deficiency of the traditional vector space retrieval model, the file structure based vector space retrieval model is presented.
信息检索模型是信息检索理论研究的一个核心内容，因此对于它的研究有重要的理论意义和实用价值。
IR model is the core content of the IR research, so the research regarding IR model is of great theoretical and practical significance.
信息检索模型是信息检索理论研究的一个核心内容，因此对于它的研究有重要的理论意义和实用价值。
IR model is the core content of the IR research, so the research regarding IR model is of great theoretical and practical significance.
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