Modeling socio-technical processes in e-commerce scenarios

dc.contributor.author	Richter, Michael M.
dc.contributor.author	Stahl, Armin
dc.contributor.editor	Rumpe, Bernhard
dc.contributor.editor	Hesse, Wolfgang
dc.date.accessioned	2019-10-16T08:54:16Z
dc.date.available	2019-10-16T08:54:16Z
dc.date.issued	2004
dc.description.abstract	We consider socio-technical processes, i.e. processes where machines as well as humans participate. Typical examples occur in sales processes in e-commerce. Three modeling tasks are selected: Modeling user preferences and utilities, modeling evaluations and modeling influence factors. A central concept representing knowledge is the notion of similarity. The major technique discussed is machine learning. Two application scenarios and simulation results are presented: Learning utility functions and performing dialogs with customers.	en
dc.identifier.isbn	3-88579-374-1
dc.identifier.pissn	1617-5468
dc.identifier.uri	https://dl.gi.de/handle/20.500.12116/29256
dc.language.iso	en
dc.publisher	Gesellschaft für Informatik e.V.
dc.relation.ispartof	Modellierung 2004
dc.relation.ispartofseries	Lecture Notes in Informatics (LNI) - Proceedings, Volume P-45
dc.title	Modeling socio-technical processes in e-commerce scenarios	en
dc.type	Text/Conference Paper
gi.citation.endPage	314
gi.citation.publisherPlace	Bonn
gi.citation.startPage	313
gi.conference.date	23.-26. März 2004
gi.conference.location	Marburg
gi.conference.sessiontitle	Regular Research Papers

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