04760nam 22007935 450 991014579910332120200701044444.03-540-39995-X10.1007/b94069(CKB)1000000000016816(SSID)ssj0000324635(PQKBManifestationID)11268437(PQKBTitleCode)TC0000324635(PQKBWorkID)10314784(PQKB)11277545(DE-He213)978-3-540-39995-7(MiAaPQ)EBC3088270(PPN)155225855(EXLCZ)99100000000001681620121227d2003 u| 0engurnn|008mamaatxtccrMatchmaking in Electronic Markets An Agent-Based Approach towards Matchmaking in Electronic Negotiations /by Daniel J. Veit1st ed. 2003.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2003.1 online resource (XV, 180 p.) Lecture Notes in Artificial Intelligence ;2882Bibliographic Level Mode of Issuance: Monograph3-540-20500-4 Includes bibliographical references at the end of each chapters and index.Fundamentals & Related Work -- 1 Introduction -- 2 Terminology and Overview -- 3 Related Work -- The Multidimensional Matchmaking Approach -- 4 Matchmaking Architecture -- 5 Matchmaking Implementation -- Application, Evaluation & Outlook -- 6 Application in a Real-World Market -- 7 Empirical Evaluation -- 8 Conclusions and Outlook.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 implementations.Lecture Notes in Artificial Intelligence ;2882Software engineeringArtificial intelligenceInformation storage and retrievalApplication softwareComputers and civilizationElectronic commerceSoftware Engineering/Programming and Operating Systemshttps://scigraph.springernature.com/ontologies/product-market-codes/I14002Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Information Storage and Retrievalhttps://scigraph.springernature.com/ontologies/product-market-codes/I18032Information Systems Applications (incl. Internet)https://scigraph.springernature.com/ontologies/product-market-codes/I18040Computers and Societyhttps://scigraph.springernature.com/ontologies/product-market-codes/I24040e-Commerce/e-businesshttps://scigraph.springernature.com/ontologies/product-market-codes/I26000Software engineering.Artificial intelligence.Information storage and retrieval.Application software.Computers and civilization.Electronic commerce.Software Engineering/Programming and Operating Systems.Artificial Intelligence.Information Storage and Retrieval.Information Systems Applications (incl. Internet).Computers and Society.e-Commerce/e-business.005.1Veit Daniel Jauthttp://id.loc.gov/vocabulary/relators/aut854093MiAaPQMiAaPQMiAaPQBOOK9910145799103321Matchmaking in Electronic Markets2120436UNINA