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A web-based consumer-oriented intelligent decision support system for personalized e-services

Published: 25 March 2004 Publication History

Abstract

Due to the rapid advancement of electronic commerce and web technologies in recent years, the concepts and applications of decision support systems have been significantly extended. One quickly emerging research topic is the consumer-oriented decision support system that provides functional supports to consumers for efficiently and effectively making personalized decisions. In this paper we present an integrated framework for developing web-based consumer-oriented intelligent decision support systems to facilitate all phases of consumer decision-making process in business-to-consumer e-services applications. Major application functional modules comprised in the system framework include consumer and personalized management, navigation and search, evaluation and selection, planning and design, community and collaboration management, auction and negotiation, transactions and payments, quality and feedback control, as well as communications and information distributions. System design and implementation methods will be illustrated using an example. Also explored are various potential e-services application domains including e-tourism and e-investment.

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      cover image ACM Other conferences
      ICEC '04: Proceedings of the 6th international conference on Electronic commerce
      March 2004
      684 pages
      ISBN:1581139306
      DOI:10.1145/1052220
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

      Publication History

      Published: 25 March 2004

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      Author Tags

      1. decision making process
      2. e-services
      3. intelligent decision support system
      4. personalization

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      • (2018)Incremental multiple kernel extreme learning machine and its application in Robo-advisorsSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-018-3031-222:11(3507-3517)Online publication date: 1-Jun-2018
      • (2017)eServices Classification, Trends, and Analysis: A Systematic Mapping StudyIEEE Access10.1109/ACCESS.2017.27662875(26104-26123)Online publication date: 2017
      • (2016)Human-computer cloud for decision support in tourism: Approach and architectureProceedings of the 19th Conference of Open Innovations Association FRUCT10.23919/FRUCT.2016.7892205(226-235)Online publication date: 14-Nov-2016
      • (2016)Decision support in tourism based on human-computer cloudProceedings of the 18th International Conference on Information Integration and Web-based Applications and Services10.1145/3011141.3011174(125-132)Online publication date: 28-Nov-2016
      • (2014)Decision support for customers in electronic environmentsActa Universitatis Agriculturae et Silviculturae Mendelianae Brunensis10.11118/actaun20115902005159:2(51-58)Online publication date: 7-Jul-2014
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