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A novel collaborative filtering-based framework for personalized services in m-commerce

Published: 08 May 2007 Publication History

Abstract

With the rapid growth of wireless technologies and handheld devices, m-commerce is becoming a promising research area. Personalization is especially important to the success of m-commerce. This paper proposes a novel collaborative filtering-based framework for personalized services in m-commerce. The framework extends our previous work by using Online Analytical Processing (OLAP) to represent the relations among user, content and context information, and adopting a multi-dimensional collaborative filtering model to perform inference. It provides a powerful and well-founded mechanism to personalization for m-commerce. We implemented it in an existing m-commerce platform, and experimental results demonstrate its feasibility and correctness.

References

[1]
Varshney, U., Vetter, R.: Mobile Commerce: Framework, Applications and Networking Support, Mobile Networks and Applications, Vol.7, (2002) 185--198.
[2]
Liao, S., Li,Q.D., Xu, J.J.: A Bayesian Network-Based Framework for Personalization in Mobile Commerce Applications. Comm.AIS, Vol.15, (2005) 494--511.
[3]
Adomavicius, G., Sankaranarayanan, R., Sen., S., Tuzhilin, A.: Incorporating Contextual Information in Recommender Systems Using a Multidimensional Approach. ACM Transactions on Information Systems, Vol.23, (2005) 103--145.
[4]
Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Analysis of Recommendation Algorithms for E-Commerce. In Proceedings of ACM E--Commerce, (2000) 158--167.

Cited By

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  • (2016)Pull-based recommendations in mobile environmentsComputer Standards & Interfaces10.1016/j.csi.2015.08.00244:C(185-204)Online publication date: 1-Feb-2016
  • (2015)Personalized recommendation algorithm based on situation awareness2015 International Conference on Logistics, Informatics and Service Sciences (LISS)10.1109/LISS.2015.7369757(1-4)Online publication date: Jul-2015
  • (2013)A Conceptual Framework to Develop Mobile Recommender Systems of Points of Interest2013 32nd International Conference of the Chilean Computer Science Society (SCCC)10.1109/SCCC.2013.17(16-20)Online publication date: Nov-2013
  • Show More Cited By

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  1. A novel collaborative filtering-based framework for personalized services in m-commerce

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        cover image ACM Conferences
        WWW '07: Proceedings of the 16th international conference on World Wide Web
        May 2007
        1382 pages
        ISBN:9781595936547
        DOI:10.1145/1242572
        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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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 08 May 2007

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        Author Tags

        1. collaborative filtering
        2. m-commerce
        3. personalization

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        WWW'07
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        WWW'07: 16th International World Wide Web Conference
        May 8 - 12, 2007
        Alberta, Banff, Canada

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        Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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        Cited By

        View all
        • (2016)Pull-based recommendations in mobile environmentsComputer Standards & Interfaces10.1016/j.csi.2015.08.00244:C(185-204)Online publication date: 1-Feb-2016
        • (2015)Personalized recommendation algorithm based on situation awareness2015 International Conference on Logistics, Informatics and Service Sciences (LISS)10.1109/LISS.2015.7369757(1-4)Online publication date: Jul-2015
        • (2013)A Conceptual Framework to Develop Mobile Recommender Systems of Points of Interest2013 32nd International Conference of the Chilean Computer Science Society (SCCC)10.1109/SCCC.2013.17(16-20)Online publication date: Nov-2013
        • (2013)Dimensions as Virtual ItemsInformation Processing and Management: an International Journal10.1016/j.ipm.2012.07.00949:3(698-720)Online publication date: 1-May-2013
        • (2012)Research of personalized recommender system in M-commerce: A cognitive-style approach based on FD/I2012 IEEE 2nd International Conference on Cloud Computing and Intelligence Systems10.1109/CCIS.2012.6664608(1362-1366)Online publication date: Oct-2012
        • (2011)A context-aware recommender system for M-commerce applicationsProceedings of the 7th international conference on Active media technology10.5555/2033896.2033925(217-228)Online publication date: 7-Sep-2011
        • (2011)A Context-Aware Recommender System for M-Commerce ApplicationsActive Media Technology10.1007/978-3-642-23620-4_25(217-228)Online publication date: 2011
        • (2009)Custom services platform for mobile commerce in nomadic environmentsProceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia10.1145/1821748.1821781(154-161)Online publication date: 14-Dec-2009
        • (2008)Improving personalized services in mobile commerce by a novel multicriteria rating approachProceedings of the 17th international conference on World Wide Web10.1145/1367497.1367743(1235-1236)Online publication date: 21-Apr-2008

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