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Research to recommend influencially product group about interest through the TKMA (Transformed K-Means Algorithm)

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Published:20 February 2012Publication History

ABSTRACT

The form of the knowledge information service has changed. The social network service, that is the new form giving and can take the information based on the user's relation, appeared. Recently, social-commerce emerges based on the social network. Recently, the pavement of the Facebook, Social shopping likes the Groupon, that is the partial form and etc., shows up as one example of the Social Commerce. In the social network, this paper utilizes the clustering analysis among data mining technology and tries to provide information for recommending the goods group which is effective and where there is the influence to the social users in the weak tie.

References

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  • Published in

    cover image ACM Conferences
    ICUIMC '12: Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
    February 2012
    852 pages
    ISBN:9781450311724
    DOI:10.1145/2184751

    Copyright © 2012 ACM

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 20 February 2012

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    Overall Acceptance Rate251of941submissions,27%

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