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Titlebook: Computational Collective Intelligence. Technologies and Applications; 5th International Co Costin Bǎdicǎ,Ngoc Thanh Nguyen,Marius Brezovan

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發(fā)表于 2025-3-21 17:18:17 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Computational Collective Intelligence. Technologies and Applications
副標(biāo)題5th International Co
編輯Costin Bǎdicǎ,Ngoc Thanh Nguyen,Marius Brezovan
視頻videohttp://file.papertrans.cn/233/232192/232192.mp4
概述Fast conference proceedings.State-of-the-art research.Up-to-date results
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Computational Collective Intelligence. Technologies and Applications; 5th International Co Costin Bǎdicǎ,Ngoc Thanh Nguyen,Marius Brezovan
描述This book constitutes the thoroughly refereed conference proceedings of the 5th International Conference on Computational Collective Intelligence, ICCCI 2013, held in Craiova, Romania, in September 2013. The 72 revised full papers presented were carefully selected from numerous submissions. Conference papers are organized in 16 technical sessions, covering the following topics: intelligent e-learning, classification and clustering methods, web intelligence and interaction, agents and multi-agent systems, social networks, intelligent knowledge management, language processing systems, modeling and optimization techniques, evolutionary computation, intelligent and group decision making, swarm intelligence, data mining techniques and applications, cooperative problem solving, collective intelligence for text mining and innovation, collective intelligence for social understanding and mining, and soft methods in collective intelligence.
出版日期Conference proceedings 2013
關(guān)鍵詞algorithms; crowdsourcing; dynamic networks; semantic web; social media
版次1
doihttps://doi.org/10.1007/978-3-642-40495-5
isbn_softcover978-3-642-40494-8
isbn_ebook978-3-642-40495-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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Trend Based Vertex Similarity for Academic Collaboration Recommendationobability theory and graph theory for modeling and analysing co-author network. In the co-author network, similar vertices are explored as potential candidates for collaboration recommendation. Taking the trend information into considering similarity of vertices in the network is the main contributi
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Application of Graph Cellular Automata in Social Network Based Recommender System network analysis and connections between users. This paper presents an alternative approach, which uses graph cellular automata. Empirical research was based on datasets from social platforms that confirmed the effectiveness of the proposed solution and is a motivation for extended research in this
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The Diffusion of Viral Content in Multi-layered Social Networksociated with the use of community detection algorithms and the analysis of how the structure of communities is affecting the spread of information. The purpose of this article is to examine the mechanisms of diffusion of viral content with particular emphasis on cross community diffusion.
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An Black-Box Testing Approach on User Modeling in Practical Movie Recommendation Systemsendations, and .) how they are different from each other. The aim of this paper is to evaluate user modeling process in several practical recommendation systems. Black-box testing scheme has been applied by comparing recommendation results. User models (i.e., a set of user ratings) have been synthes
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Guided Crowdsourcing for Collective Work Coordination in Corporate Environmentsng approaches do not offer guarantees often demanded by consumers, for example regarding minimum quality, maximum cost or job accomplishment time. The problem appears to have a greater impact in corporate environments because in this case the above-mentioned performance guarantees directly affect it
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