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1)  knowledge recommendation
知识推荐
1.
Personalized knowledge recommendation is an effective means to provide individual information service in digital library,however,a complete understanding of the user profile and accurate recommendation are essential.
构建个性化知识推荐系统是数字图书馆实现个性化信息服务的有效手段,推荐服务的关键在于完整地理解用户兴趣并准确作出推荐。
2.
This paper designs and implements a garment CAD system based on knowledge reuse,whose architecture includes knowledge recommendation module and knowledge editing module.
该系统框架主要包括知识推荐和知识编辑2个模块。
2)  referral code
推荐识别代码
3)  Knowledge inference
知识推理
1.
The knowledge inference method of the general network modeling with graphic interface is introduced,in which the system model is gradually inferred from the visual system connection diagram.
提出了一种符合图形界面下建立通用电网模型的知识推理方法。
2.
We detailedly introduced the Topic Map,the constitution,the knowledge representation and knowledge inference of the TM.
详细介绍了TM主题地图,TM的组成及它的知识表示与知识推理,并把TM与RDF(Resource Description Framework)两种技术作了分析与比较,TM所具有的优点都使其在知识网格中可以有非常广阔的发展空间。
3.
In our opinion,ontology-based domain knowledge inference includes logic error-check inference and domain deductive knowledge detection reasoning.
基于本体的领域知识推理主要分为基于逻辑的领域知识检错推理和基于关系的领域蕴涵知识发现推理。
4)  knowledge push
知识推送
1.
Construction of knowledge push system in customer service center of enterprise;
企业客户服务中心知识推送系统构建研究
2.
An evaluation method of the effect of knowledge push based on two-tuple linguistic
一种基于二元语义的知识推送效果测评方法
3.
In this paper,firstly,combined with relevant literatures and practice of knowledge management,the factors which influence the evaluation to the effect of knowledge push were analyzed.
结合现有文献资料与知识管理实践,分析了评价知识推送效果应该考虑的主要因素,建立了一套包括知识推送内容、知识推送方式两个不同方面的评价指标体系;以此为基础,提出了一种评价知识推送效果的方法,并给出了基于评价结果的改进策略。
5)  knowledge reasoning
知识推理
1.
SAT-based algorithm for knowledge reasoning;
一种规约于可满足性问题(SAT)的知识推理算法
2.
Research and Implementation of RDF Knowledge Reasoning based on Concept Semantic Network Graph;
基于概念语义网络图的RDF知识推理研究与实现
3.
Research on Bayesian network knowledge reasoning in ITS
Bayesian网知识推理在ITS学习推荐中的应用研究
6)  knowledge-based reasoning
知识推理
1.
The article based on the ladderlike manufacture system input output model, aimed at the application of product chain and its personalization processing ,then gave the way of "best" selling structure analyzed with knowledge-based reasoning, and used it to explore the potential of one polyamide fiber factory.
本文基于递阶生产系统投入产出模型,在针对具有“产品链”特点的具体应用背景给以“个性化”处理的基础上,给出了利用知识推理进行企业“最佳”销售结构分析的方法,并采用该方法对某锦纶厂企业潜力的挖掘分析, 进行了成功的实践。
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