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Social and Location Analysis for similarity Assessment: Multiparameter Social Search Based on Social Preferences and User Movements

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INTERNATIONAL JOURNAL OF INTERDISCIPLINARY TELECOMMUNICATIONS AND NETWORKING 2016年第4期8卷 22-33页

作者： Asmaryan, Albert Levanov, Alexey Borovik, Irina Bauman Moscow State Tech Univ Moscow Russia

This article introduces the method to assess similarity based on Facebook Graph API and users' movements. All movements of users are collected and analyzed. This paper presents a two-step multiparameter algorithm that generates recommendations based on users' social activity and movements. A flexible mechanism for the calculations of time that one spends on a variety of social activities to more accurately identify the relationships between users is presented. To reduce the load on the application the algorithms of data analysis and transfer optimization are proposed. The ultimate result of the study is to build a platform based on the "client-server" model and includes a mobile app on the iOS platform and server, which would be set up on the "LAMP" platform. The given result can be used and applied in various spheres of our lives to identify different relationships between people.

关键词： Assessment Model Location Multiparamter Analysis Optimization algorithm similarity algorithm Social Graph Social Networks

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Research on Matching Method for Case Retrieval Process in CBR Based on FCM

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Procedia Engineering 2017年 174卷 267-274页

作者： Zhao Yamin Zhang Mengmeng Guo Xiaomin Zhou Zhiwei Zhang Jianhua Management Engineering Department ZhengzhouUniversity Zhengzhou China

Era of knowledge economy, how to effectively mining, the use of knowledge is the enterprise growing concern. CBR system from the field of artificial intelligence is a self-learning system to manage tacit knowledge (case). Case retrieval link is the core link, the advantages and disadvantages of search methods directly affect the efficiency of case retrieval and case matching accuracy. Therefore, this paper proposes a new case matching process: when the size of the case database is small, it searches based on the case similarity algorithm; when the case database is large, it searches based on the FCM secondary retrieval model. And illustrates the fastness and efficiency of FCM in matching large-scale case database.

关键词： CBR case matching similarity algorithm FCM

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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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On-Line Text Mining and Recommendation based on Ontology and Implied Sentiment Inclination 17

On-Line Text Mining and Recommendation based on Ontology and...

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17th IEEE INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATIONS TECHNOLOGY (ICACT)

作者： Yang, Hui Wang, Zhe Xu, Hao Jilin Univ Coll Comp Sci & Technol Changchun 130012 Peoples R China Jilin Univ Coll Elect Sci & Engn Changchun 130012 Peoples R China

ISBN: (纸本)9788996865056

Most of the exist Web search engines utilize matching the query keywords to pieces of information approach to identify of the data satisfying user's request. These methods are not only inefficient, but also wasted a lot of user's time to find a satisfactory results. In order to improve the problem above, we presented a different approach to identify user's request that attracts more interest is called a ontology-based and implied sentiment search. Ontology is a tree structure which represent specifications of concepts and relations among them. Ontology play a central role in semantic web applications by providing a shared knowledge about the objects in real world. This paper proposes a method for determining semantic similarity between concepts and implied sentiment defined in ontology. Unlike method exist that use ontological definition of concepts for similarity assessment, the presented approach also focuses on the relations between concepts and their implied sentiment inclination. Our method is able to determine similarity not only at the definition level, but also is able to evaluate similarity of implied sentiment of information that are instances of concepts. In addition, the method allows for context-aware similarity assessment. Experimental comparison of our on-line text mining approach against other techniques known in the literature shows satisfying results.

关键词： Sentiment Inclination Analysis Text Mining Ontology similarity algorithm recommendation method

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The reflection of hierarchical cluster analysis of co-occurrence matrices in SPSS

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Chinese Journal of Library and Information Science 2015年第2期 11-24页

作者： Qiuju ZHOU Fuhai LENG Loet LEYDESDORFF National Science Library Chinese Academy of Sciences University of Amsterdam Amsterdam School of Communication Research (ASCo R) PO Box 15793 1001 NG Amsterdam the Netherlands

Purpose： To discuss the problems arising from hierarchical cluster analysis of co-occurrence matrices in SPSS, and the corresponding solutions. Design/methodology/approach： We design different methods of using the SPSS hierarchical clustering module for co-occurrence matrices in order to compare these methods. We offer the correct syntax to deactivate the similarity algorithm for clustering analysis within the hierarchical clustering module of SPSS. Findings： When one inputs co-occurrence matrices into the data editor of the SPSS hierarchical clustering module without deactivating the embedded similarity algorithm, the program calculates similarity twice, and thus distorts and overestimates the degree of similarity. Practical implications： We offer the correct syntax to block the similarity algorithm for clustering analysis in the SPSS hierarchical clustering module in the case of co-occurrence matrices. This syntax enables researchers to avoid obtaining incorrect results. Originality/value： This paper presents a method of editing syntax to prevent the default use of a similarity algorithm for SPSS＇s hierarchical clustering module. This will help researchers, especially those from China, to properly implement the co-occurrence matrix when using SPSS for hierarchical cluster analysis, in order to provide more scientific and rational results.

关键词： Co-occurrence matrices Hierarchical cluster analysis SPSS similarity algorithm The syntax editor

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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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Reconstructing Regular Shredded Documents by similarity Measure

Reconstructing Regular Shredded Documents by Similarity Meas...

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2014 2nd International Conference on Soft Computing in Information Communication Technology(SCICT 2014)

作者： Cheng Le Nanjie Deng Xiao Jin Beijing University of Posts and Telecommunications BUPT

This paper describes a method to the problem of reconstructing regular shredded documents by similarity measure. Regular shredded document can be quantized as gray-level matrix or two-value matrix. So we can match the gray value of the edge of the shredded document, which is indicated as similarity value. We calculate the similarity value by using improved minimum-error method, a kind of similarity measure method. The two shredded owning the biggest similarity value is probable to be the neighboring ones. So we can reconstruct these regular shredded documents through this method until it is recovered.

关键词： reconstruct shredding minimum-error method similarity algorithm similarity measure

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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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Research on Student Model of Adaptive Learning System Based on Semantic Web

Research on Student Model of Adaptive Learning System Based ...

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2013 World Congress on Industrial Materials-Applications,Products,and Technologies(WCIM 2013)

作者： Jianqiong Xiao Experiment Center of China West Normal University

This paper came up with introducing four dimensions: learning mood, cognitive state, learning style and interest preference and so on for the semantic web, based on the analysis the present situation student models at home and abroad. Realized to classify learners and establish student models which used an improved similarity algorithm, and the student model applied to adaptive learning system, which not only could solve the lack semantic in adaptive learning system, and greatly improves the practicability, intelligent and personalized.

关键词： adaptive learning system semantic Web student model similarity algorithm

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A Distance Education Helper Matching Model Based on Multi-agent

A Distance Education Helper Matching Model Based on Multi-ag...

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2012 International Conference on Computer,Control,Education and Management(CCEM 2012)

作者： Yan Lian-duo Tian Xiu-hong Jin Chang-hui Department of Ideological and Political Hebei Normal University of Science & Technology Academic Affairs Office Hebei Normal University of Science & Technology

In the distance education platform, it is an important topic that how to intelligently help learner to find right helperTo address the problem, a set of matching model of problem and helper based on problem similarity under mutual learning system environment was presented with multi-agent technologyThe model introduces concept of problem gathering, namely to determine similarity between helper and problem by computing similarity among many problems and proposed problemsBy returning helper agent that has many similarities with proposed problem, the circumstance of non-relevance between matching problem and proposed problem can be avoidedMeanwhile, the concept of valid problem number, valid matching problem number and average similarity of valid matching problem, it can ensure effectively solving problem of helper matchingExperiment results show that the helper matching model can achieve ideal matching effect1Introduction

关键词： Multi-Agent similarity algorithm Mutual Learning Helper Matching Model

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