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Chinese language curriculum resources pushing method based on knowledge graph and similarity algorithm

INTERNATIONAL JOURNAL OF CONTINUING ENGINEERING EDUCATION AND LIFE-LONG LEARNING 2025年第1-2期35卷 77-94页

作者： Lu, Haoli Li, Xiancui Xin Xiang Vocat & Tech Coll XIN XIANG 453000 Peoples R China

In order to improve the effect of Chinese course resource push, a method of Chinese course resource push based on knowledge graph and similarity algorithm is proposed. First, determine the density of resource data and the dependency relationships between data, and construct a knowledge graph of Chinese language course resources. Then, calculate Min's distance and cosine distance to determine the continuity of resource data, search for discrete data, determine the frequency of occurrence of Chinese language course resource data with different attributes, and achieve similarity measurement of Chinese language course resources. Finally, cross compressing the characteristics of Chinese language course resources, matching Chinese language course resource data with demanders, a dual push module to push Chinese language course resources is introduced and Chinese language course resource push is achieved. The experimental results show that the proposed method can effectively reduce the similarity of push data and improve the efficiency of pushing Chinese language course resources.

关键词： knowledge graph similarity algorithm Chinese language courses resource push cosine distance triplet

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Research on Keyword-Overlap similarity algorithm Optimization in Short English Text Based on Lexical Chunk Theory

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JOURNAL OF INFORMATION PROCESSING SYSTEMS 2023年第5期19卷 631-640页

作者： Li, Na Li, Cheng Zhang, Honglie Qiqihar Univ Publ Foreign Language Teaching & Res Dept Qiqihar Peoples R China Qiqihar Univ Coll Comp & Control Engn Qiqihar Peoples R China

Short-text similarity calculation is one of the hot issues in natural language processing research. The conventional keyword-overlap similarity algorithms merely consider the lexical item information and neglect the effect of the word order. And some of its optimized algorithms combine the word order, but the weights are hard to be determined. In the paper, viewing the keyword-overlap similarity algorithm, the short English text similarity algorithm based on lexical chunk theory (LC-SETSA) is proposed, which introduces the lexical chunk theory existing in cognitive psychology category into the short English text similarity calculation for the first time. The lexical chunks are applied to segment short English texts, and the segmentation results demonstrate the semantic connotation and the fixed word order of the lexical chunks, and then the overlap similarity of the lexical chunks is calculated accordingly. Finally, the comparative experiments are carried out, and the experimental results prove that the proposed algorithm of the paper is feasible, stable, and effective to a large extent.

关键词： Keyword Overlap Lexical Chunk Theory Short English Text similarity algorithm

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A Novel Spatio-Temporal similarity algorithm Adapted to Typhoon Disaster Cases 23

A Novel Spatio-Temporal Similarity Algorithm Adapted to Typh...

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23rd International Conference on Geoinformatics (Geoinformatics)

作者： Zhou, Xi Wang, Fei Wang, Chaolin Zheng, Xiaocui Zheng, Fuda Li, Li Tsinghua Univ Grad Sch Shenzhen Shenzhen Peoples R China

ISBN: (纸本)9781467376631

Costal areas in China frequently suffer typhoon disasters, which always causes lots of damage. Learning from appropriate historical cases can improve the efficiency of emergency decision making. A novel spatio-temporal similarity algorithm is proposed in this paper in order to find the most relevant typhoon cases. Cases similar to current typhoon disaster can be retrieved and ranked by similarity. Many factors including meteorological attributes of a typhoon and complex information of affected areas are analyzed. The track, the wind velocity, and the year of typhoons are selected as the main factors for algorithm designing. At last, the feasibility of this algorithm is testified with historical data in recent years. The proposed method can also be applied to other disaster domains.

关键词： typhoon disaster cases similarity algorithm cases ranking spatio-temporal factors

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DOM-based Web Pages to Determine the Structure of the similarity algorithm

DOM-based Web Pages to Determine the Structure of the Simila...

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3rd International Symposium on Intelligent Information Technology Application

作者： Kang, Chunying Heilongjiang Univ Coll Informat Sci & Technol Harbin 150080 Heilongjiang Peoples R China

ISBN: (纸本)9780769538594

Web data is currently mainly in the form of HTML pages, expressed by the HTML language of Web pages through the browser after analysis is only suitable for people to browse, not suitable for data exchange as a way to deal with by a computer. This article will make web page decompound a DOM tree, then from the DOM tree body root node to start, in accordance with the breadth-first traversal order DOM tree, layer by layer comparison DOM node tree, statistics of its changes, and then the sum of all floors of the changes, If less than a certain threshold, it is structurally similar to two pages, otherwise dissimilar, because this algorithm is only concerned about the page structure information without concern for the content of the page, it has a very high operating efficiency, while the algorithm is not limited to a specific web page, with good versatility.

关键词： DOM similarity algorithm Web

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Design of English Intelligent Question Answering System Based on similarity algorithm 2

Design of English Intelligent Question Answering System Base...

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2nd IEEE International Conference on Integrated Circuits and Communication Systems, ICICACS 2024

作者： Wang, Jing Jilin Agricultural Science and Technology University Jilin China

ISBN: (纸本)9798350317558

A novel approach has been introduced to enhance the efficiency of English intelligent question answering systems by leveraging a distance-based similarity algorithm. This innovation aims to address the current challenges of knowledge simplification and low query efficiency observed in existing systems. The proposed system was evaluated with 421 sentences and 900 words, achieving accuracy rates of 81.06% and 90.08%, respectively. The overall similarity values consistently exceeded *** system incorporates a similarity threshold (?, 0 = ? = 1), and experimentation revealed that varying ? did not affect the number of similar questions. Notably, at ? = 0.8, the system exhibited the highest number of similar sentences, comprising 70.3% of the overall proportion, demonstrating the system's accuracy with distance-based similarity algorithms. Additionally, when ? = 0.9, the system achieved the highest number of similar words, exceeding 90%. In summary, the system has demonstrated high accuracy in providing concise and accurate answers to English questions posed by learners. © 2024 IEEE.

关键词： intelligent question answering system Keyword matching Search engines similarity algorithm

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2010 2nd IEEE International Conference on Information Management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)

作者： Zhao Fan Su Ke Ran Meili Library of North China Electric Power University Beijing 102206 China College of Mathematics & Computer Science Hebei University Baoding 071002 China College of Economics Hebei University Baoding 071002 China

Research on similarity methodology of dynamic tracing disciplinary themes based on improved similarity algorithm is the improvement and perfection of current similarity methodology based on coword analysis, and also is good supplement to the mapping method of dynamic tracing disciplinary themes based on coword analysis. Three algorithms of similarity methodology have common shortcoming that lacking of deeply analyzing the relationship of theme evolution. Aiming at the common flaw and deeply analyzing theme evolution, author has done some improving research based on Coulter's similarity index, and expatiated on the related problems of improved algorithm. Through this research, we can more deeply and imperceptiblly reveal the relationship of theme evolution, and more accurately trace the evolution track of disciplinary theme.

关键词： disciplinary theme evolution co-word analysis similarity analysis similarity algorithm

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The Improved Case-Based Reasoning similarity algorithm And Its Application In Product Conceptual Design

The Improved Case-Based Reasoning Similarity Algorithm And I...

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2011 International Conference on Computers, Communications, Control and Automation

作者： Qing Wang Mobile Post-doctoral Stations Institute of Management Huazhong University of Science and Technology

Respecting of the bounded rationality in the process of estimating similarity, the case-based reasoning similarity algorithm based on distance threshold is improved. The improved similarity algorithm is used in the case-based reasoning decision model of product conceptual design. The similarity between new circular gear reducer and finished products is calculated with the decision model. The result validates the improved algorithm can effectively exclude useless cases.

关键词： case-based reasoning similarity algorithm bounded rationality product conceptual design

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Research on Chronic Disease Network Question-Answering System and similarity Matching algorithm

Research on Chronic Disease Network Question-Answering Syste...

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International Conference on Mechatronics and Industrial Informatics (ICMII 2013)

作者： Gao, Leina Chengdu Univ Sch Ind Mfg Chengdu 610106 Sichuan Peoples R China

ISBN: (纸本)9783037856949

In view of the existing circumstances and problems in the medical services of chronic disease health consulting and guidance, an intelligent question-answering (QA) system based on B/S pattern is proposed in this paper. The system adopts a way combining automatic intelligent searching with semi-automatic assistant QA technology. Firstly, a structural model is established, and then the function of each module is discussed. Besides, an improved similarity algorithm is put forward and illustrated to have a good matching effect by experiment analysis.

关键词： Chronic illness Health consulting Question-answering system Automatic searching similarity algorithm

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Collaborative Filtering Recommendation algorithm based on Improved similarity 5

Collaborative Filtering Recommendation Algorithm based on Im...

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IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC)

作者： Zhou, Weibai Li, Rong Liu, Wei Guangzhou Coll Commerce Sch Informat Technol & Engn Guangzhou Peoples R China Guangdong Univ Technol Sch Mat & Energy Guangzhou Peoples R China

ISBN: (纸本)9781728143231;9781728143224

The traditional collaborative filtering recommendation algorithm can't measure well the similarity among users under the condition of data sparsity, which leads to a decrease in the accuracy of the recommendation system. Therefore, we propose a collaborative filtering algorithm to improve similarity. We weight the number of common scoring items on the similarity calculation to improve the shortcomings of the usual Pearson correlation coefficient. Then, we use it to find the user's nearest neighbor set and predict the score of the item to generate a recommendation list. Experiments show that our algorithm can improve the accuracy of system recommendation effectively.

关键词： collaborative filtering Pearson Correlation Coefficient similarity algorithm sparsity

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Comparative analysis of cell line similarity algorithms in oncology treatment

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Procedia Computer Science 2024年 239卷 1539-1548页

作者： Bruno Bento Fernando Paulo Belfo António Trigo Polytechnic Institute of Coimbra Coimbra Business School Quinta Agrícola Bencanta 3045-231 Coimbra Portugal Polytechnic Institute of Coimbra Coimbra Business School Research Centre Quinta Agrícola Bencanta 3045-231 Coimbra Portugal CEOS.PP - Centro de Estudos Organizacionais e Sociais do Politécnico do Porto Porto Portugal

Over the years, medicine has continuously tried to provide the best treatment for patients. In cancer treatment, science has been at the service of medicine, to treat and discover new and better treatment approaches to “save lives” or increase longevity. Among the new disciplines that have been used to try to meet these challenges are Big Data, Bioinformatics, Machine Learning, Data Mining, Pharmacogenomics and Genomics. Whole genome sequencing has led medicine into several fields, such as broad knowledge of the human body, high accuracy in detecting a pathology or the most promising therapeutic line for a particular individual. The aim of the study is to understand and evaluate the main similarity metrics that could eventually be used in drug recommendation systems in cancer patients. Ten of the most popular similarity indices were used in the evaluation of gene expression of twenty samples from the Genomics of Drug Sensitivity in Cancer (GDSC) Project dataset, concerning breast and skin cancer pathology. The results obtained from the tested similarity indices are discussed, proposing some of them for the mentioned types of recommendation systems.

关键词： similarity algorithm cell line oncology treatment recommendation system GDSC DNA microarray

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