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Article

An anonymous bonus point system for mobile commerce based on word-of-mouth recommendation

Authors:

Andreas HeinemannAuthors Info & Claims

SAC '04: Proceedings of the 2004 ACM symposium on Applied computing

Pages 766 - 773

https://doi.org/10.1145/967900.968059

Published: 14 March 2004 Publication History

Abstract

Next generation mobile devices will allow users to share and pass information within anonymous groups of people in an ad hoc manner. This will smooth the path for many kinds of new mobile commerce applications. In this paper we present a mobile commerce application that is part of the iClouds research project. It allows the dissemination of digital advertisements among interested mobile users. To create an incentive, an anonymous bonus point system rewards users who help to carry an advertisement from a merchant to a customer. This work includes a formal description of our bonus point model, a thorough discussion of the security goals, their realization and some first results about crypto-operation runtime behavior on a state-of-the-art PDA.

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Cited By

Mamais STheodorakopoulos G(2017)Private and Secure Distribution of Targeted Advertisements to Mobile PhonesFuture Internet10.3390/fi90200169:2(16)Online publication date: 1-May-2017
https://doi.org/10.3390/fi9020016
Brack SDietzel SScheuermann B(2017)ANONUS: Anonymous Bonus Point System with Fraud Detection2017 IEEE 42nd Conference on Local Computer Networks (LCN)10.1109/LCN.2017.50(356-364)Online publication date: Oct-2017
https://doi.org/10.1109/LCN.2017.50
Padhariya NMondal AMadria SKitsuregawa M(2013)Economic incentive-based brokerage schemes for improving data availability in mobile-P2P networksComputer Communications10.1016/j.comcom.2013.01.01236:8(861-874)Online publication date: 1-May-2013
https://dl.acm.org/doi/10.1016/j.comcom.2013.01.012
Show More Cited By

An anonymous bonus point system for mobile commerce based on word-of-mouth recommendation
1. Applied computing
2. Networks
  1. Network types

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Information & Contributors

Information

Published In

cover image ACM Conferences

SAC '04: Proceedings of the 2004 ACM symposium on Applied computing

March 2004

1733 pages

ISBN:1581138121

DOI:10.1145/967900

Conference Chair:
Hisham M. Haddad
Kennesaw State University
,
Program Chairs:
Andrea Omicini
Università degli Studi di Bologna a Cesena
,
Roger L. Wainwright
University of Tulsa
,
Publications Chair:
Lorie M. Liebrock
New Mexico Institute of Mining and Technology

Copyright © 2004 ACM.

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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SIGAPP: ACM Special Interest Group on Applied Computing

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Association for Computing Machinery

New York, NY, United States

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Published: 14 March 2004

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SAC04

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SAC04: The 2004 ACM Symposium on Applied Computing

March 14 - 17, 2004

Nicosia, Cyprus

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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The 40th ACM/SIGAPP Symposium on Applied Computing

March 31 - April 4, 2025

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Citations

Cited By

Mamais STheodorakopoulos G(2017)Private and Secure Distribution of Targeted Advertisements to Mobile PhonesFuture Internet10.3390/fi90200169:2(16)Online publication date: 1-May-2017
https://doi.org/10.3390/fi9020016
Brack SDietzel SScheuermann B(2017)ANONUS: Anonymous Bonus Point System with Fraud Detection2017 IEEE 42nd Conference on Local Computer Networks (LCN)10.1109/LCN.2017.50(356-364)Online publication date: Oct-2017
https://doi.org/10.1109/LCN.2017.50
Padhariya NMondal AMadria SKitsuregawa M(2013)Economic incentive-based brokerage schemes for improving data availability in mobile-P2P networksComputer Communications10.1016/j.comcom.2013.01.01236:8(861-874)Online publication date: 1-May-2013
https://dl.acm.org/doi/10.1016/j.comcom.2013.01.012
Mondal A(2013)The Role of Incentive-Based Crowd-Driven Data Collection in Big Data AnalyticsProceedings of the Second International Conference on Big Data Analytics - Volume 830210.1007/978-3-319-03689-2_6(86-96)Online publication date: 16-Dec-2013
https://dl.acm.org/doi/10.1007/978-3-319-03689-2_6
Wiedemann DHaunstetter TPousttchi K(2010)Analyzing the Forwarding Behavior in Mobile Viral MarketingHandbook of Research on Mobile Marketing Management10.4018/978-1-60566-074-5.ch020(381-400)Online publication date: 2010
https://doi.org/10.4018/978-1-60566-074-5.ch020
Heinemann AStraub T(2010)Opportunistic Networks as an Enabling Technology for Mobile Word-of-Mouth AdvertisingHandbook of Research on Mobile Marketing Management10.4018/978-1-60566-074-5.ch013(236-254)Online publication date: 2010
https://doi.org/10.4018/978-1-60566-074-5.ch013
Mondal AMadria SKitsuregawa M(2010)Improving data availability via an economic lease model in mobile-P2P networksInternational Journal of Computational Science and Engineering10.1504/IJCSE.2010.0376795:3/4(243-253)Online publication date: 1-Dec-2010
https://dl.acm.org/doi/10.1504/IJCSE.2010.037679
Mondal AKumar Madria SKitsuregawa M(2010)E-ARLDistributed and Parallel Databases10.1007/s10619-010-7063-628:1(1-31)Online publication date: 1-Aug-2010
https://dl.acm.org/doi/10.1007/s10619-010-7063-6
Mondal AMadria SKitsuregawa M(2009)An economic incentive model for encouraging peer collaboration in mobile-P2P networks with support for constraint queriesPeer-to-Peer Networking and Applications10.1007/s12083-009-0035-92:3(230-251)Online publication date: 4-Mar-2009
https://doi.org/10.1007/s12083-009-0035-9
Apolloni BApolloni GBassis SGalliani GRossi G(2009)Collaboration at the Basis of Sharing Focused Information: The Opportunistic NetworksComputational Intelligence10.1007/978-3-642-01799-5_15(501-524)Online publication date: 2009
https://doi.org/10.1007/978-3-642-01799-5_15
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