News event evolution model based on the reading willingness and modified TF-IDF formula

Wen, Angzhan; Lin, Weiwei; Ma, Yacong; Xie, Haoan; Zhang, Guoqiang

doi:10.3233/jhs-170555

Cited by 7 publications

(5 citation statements)

References 11 publications

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“…In our system, there are between 10 and 50 keywords. Each keyword follows the TF-IDF weight [17]. The k value (i.e., the number of results returned to the subscriber) is between 2 and 10.…”

Section: Methodsmentioning

confidence: 99%

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EFTG: Efficient and Flexible Top-K Geo-textual Publish/Subscribe

2018

KSII TIIS

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With the popularity of mobile networks and smartphones, geo-textual publish/subscribe messaging has attracted wide attention. Different from the traditional publish/subscribe format, geo-textual data is published and subscribed in the form of dynamic data flow in the mobile network. The difference creates more requirements for efficiency and flexibility. However, most of the existing Top-k geo-textual publish/subscribe schemes have the following deficiencies: (1) All publications have to be scored for each subscription, which is not efficient enough. (2) A user should take time to set a threshold for each subscription, which is not flexible enough. Therefore, we propose an efficient and flexible Top-k geo-textual publish/subscribe scheme. First, our scheme groups publish and subscribe based on text classification. Thus, only a few parts of related publications should be scored for each subscription, which significantly enhances efficiency. Second, our scheme proposes an adaptive publish/subscribe matching algorithm. The algorithm does not require the user to set a threshold. It can adaptively return Top-k results to the user for each subscription, which significantly enhances flexibility. Finally, theoretical analysis and experimental evaluation verify the efficiency and effectiveness of our scheme.

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“…In our system, there are between 10 and 50 keywords. Each keyword follows the TF-IDF weight [17]. The k value (i.e., the number of results returned to the subscriber) is between 2 and 10.…”

Section: Methodsmentioning

confidence: 99%

“…The following definitions of the EFTG scheme components help us accurately and formally define our problem. is the TF-IDF (Term Frequency-Inverse Document Frequency) [17] weight of keyword in . 3denotes 's geographic description, which is composed of latitude and longitude.…”

Section: Geo-textual Similaritymentioning

confidence: 99%

EFTG: Efficient and Flexible Top-K Geo-textual Publish/Subscribe

2018

KSII TIIS

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“…TF-IDF (term frequency -inverse document frequency) is a commonly used weighted technology for information mining and text classification retrieval. 28 In the MBD model of the front bumper of the car main model, the detection process text information in the front bumper test data is selected for conversion. For example:…”

Section: Case Data Setmentioning

confidence: 99%

Intelligent design technology of automobile inspection tool based on 3D MBD model intelligent retrieval

Cheng

Wang

Fang

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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The existing process equipment design resource utilization rate in automobile industry is low, so it is urgent to change the design method to improve the design efficiency. This paper proposed a fast design method of process equipment driven by classification retrieval of 3D model-based definition (MBD). Firstly, an information integration 3D model is established to fully express the product information definition and to effectively express the design characteristics of the existing 3D model. Through the classification machine-learning algorithm of 3D MBD model based on Extreme Learning Machine (ELM), the 3D MBD model with similar characteristics to the auto part model to be designed was retrieved from the complex process equipment case database. Secondly, the classification and retrieval of the model are realized, and the process equipment of retrieval association mapping with 3D MBD model is called out. The existing process equipment model is adjusted and modified to complete the rapid design of the process equipment of the product to be designed. Finally, a corresponding process equipment design system was developed and verified through a case study. The application of machine learning to the design of industrial equipment greatly shortens the development cycle of equipment. In the design system, the system learns from engineers, making them understand the design better than engineers. Therefore, it can help any user to quickly design 3D models of complex products.

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“…TF-IDF (term frequency-inverse document frequency) is a commonly used weighting technique for information retrieval and text mining. 13 ffi TF word frequency (Term Frequency) is the frequency of a keyword appearing in the text set. And the keyword is normalized.…”

Section: Data Processingmentioning

confidence: 99%

“…TF-IDF (term frequency-inverse document frequency) is a commonly used weighting technique for information retrieval and text mining. 13…”

Section: Case Retrieval Systemmentioning

confidence: 99%

Research on the rapid design technology of automotive inspection structure based on MBD model

Wang¹,

Cheng

Wang

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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In view of the specificity and low efficiency of the design of automobile inspection fixture, a deformation design method of inspection fixture based on BP neural network algorithm is proposed. BP neural network algorithm is used to realize the learning and classification of case knowledge, and FCM (fuzzy c-means) algorithm and kernel principal component analysis are used to optimize the information source to improve the retrieval efficiency and accuracy. Based on the analysis of the existing fixture design case structure, the case structure is skeletonized to increase the applicability of the case structure. At the same time, the case frame structure is associated with the size chain, the priority deformation rule is proposed, and the relationship of each size chain is established to realize the mutual adjustment of each size chain. From the similarity of retrieval cases, the paper proposes the design scheme of inspection tools to improve the design efficiency. Finally, taking the front bumper model as the experimental object, the deformation rules are compared, and the priority deformation rule is more accurate than the ordinary basic rule. Compared with the manual design, the design efficiency of this method is improved by 55.71%, which proves the feasibility of this method.

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News event evolution model based on the reading willingness and modified TF-IDF formula

Cited by 7 publications

References 11 publications

EFTG: Efficient and Flexible Top-K Geo-textual Publish/Subscribe

EFTG: Efficient and Flexible Top-K Geo-textual Publish/Subscribe

Intelligent design technology of automobile inspection tool based on 3D MBD model intelligent retrieval

Research on the rapid design technology of automotive inspection structure based on MBD model

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