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Titlebook: Matchmaking in Electronic Markets; An Agent-Based Appro Daniel J. Veit Book 2003 Springer-Verlag Berlin Heidelberg 2003 DOM.Electronic Mark

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發(fā)表于 2025-3-21 16:58:48 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Matchmaking in Electronic Markets
副標(biāo)題An Agent-Based Appro
編輯Daniel J. Veit
視頻videohttp://file.papertrans.cn/626/625622/625622.mp4
概述Includes supplementary material:
叢書(shū)名稱(chēng)Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Matchmaking in Electronic Markets; An Agent-Based Appro Daniel J. Veit Book 2003 Springer-Verlag Berlin Heidelberg 2003 DOM.Electronic Mark
描述.Electronic negotiations concern transactions on the basis of electronic media, such?as the Internet. Platforms have been developed to aid participants in electronic markets during the agreement phase. The key activity in this is the matching of offers and requests, for which we need a ranking of the alternatives. In this book the author defines a framework in which a ranking can be generated in order to acquire an optimal decision for a desired transaction - this process is called matchmaking. ..The author introduces a generic framework for multidimensional, multiattribute matchmaking, its implementation, and an analysis of it. The genericity of the author’s approach means that the implementation, realized as a multiagent system, can represent both offering and requesting agents, and the framework can be applied to a huge variety of applications. The use cases in the book are derived from the human resources domain, and thus involve quite complex matchmaking...The author’s presentation is thorough and self-contained. He provides definitions of the relevant business and computer science terms, and detailed explanations of the underlying mathematical tools and software implementatio
出版日期Book 2003
關(guān)鍵詞DOM; Electronic Market; Internet; Web services; agent-based e-commerce; agent-mediated e-commerce; archite
版次1
doihttps://doi.org/10.1007/b94069
isbn_softcover978-3-540-20500-5
isbn_ebook978-3-540-39995-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2003
The information of publication is updating

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ing behavior of birds. Each bird represents a single document and flies toward other documents that are similar to it. One limitation of this method of document clustering is its complexity .(..). As the number of documents grows, it becomes increasingly difficult to receive results in a reasonable
地板
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th goals, considering four criteria. Solving scheduling problems with this number of criteria is missed in the literature. The proposed algorithm is composed of three phases: at the first one, four agents are created to independently optimize four criteria with different random initial solution and
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Daniel J. Veit generate heuristics. In the latter, the goal is to develop a problem-domain independent strategy to automatically generate a good performing heuristic for specific problems, that is, the input to the algorithm are problems and the output are problem-tailored heuristics. This can be done, for exampl
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Daniel J. Veitmans cannot objectively determine if one system is more expressive than the other. Most of the text-to-speech systems have a rather flat intonation and do not provide the option of changing the output speech. We therefore present an interactive intonation optimisation method based on the pitch conto
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Daniel J. Veitxt mining, web page retrieval, text clustering and text categorization. Current methods for computing the keywords of a document are subject to a series of evolutions. Nevertheless, the methods do not perform well in very high dimensional state spaces. The methods are quite inefficient as they depen
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t of customers.?The VRP has two main elements to it, the allocation of visits to routes and the ordering of the visits within each route. The VRP has been investigated by many researchers and there exist many variants which may incorporate constraints such as vehicle capacities, time windows and veh
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Daniel J. Veitr environmental impact). The techniques for finding solutions to the Vehicle Routing Problem discussed previously (e.g. Clarke and Wright Chap.?. and Evolutionary Algorithms Chap.?.), two solution characteristics became apparent; the number of vehicles used and the distance travelled. The approaches
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