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SNS-based recommendation mechanisms for social media

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Abstract

Recently, the necessity of search or recommendation for using mass quantity of web contents at a number of social media websites, etc. as the usage of social network service has rapidly increased. An effective recommendation method based on social network is to predict the preference and use the social network relationship information of a user after identifying the propensity of user. In this study, a recommendation algorithm based on the intimacy between users has been proposed using the information on the social network having correlation with the user. Also, the proposed methodology has been applied on Podcast which is in a form of multimedia file rising as new social media nowadays to be implemented as a system and shows the experiment result.

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Acknowledgments

This research was supported by Gachon University Research Fund in 2013 and by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (2013-008339).

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  1. Department of Software Design and Management, Gachon University, Seongnam, Republic of Korea

    Ok-Ran Jeong

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  1. Ok-Ran Jeong
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Correspondence to Ok-Ran Jeong.

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Jeong, OR. SNS-based recommendation mechanisms for social media. Multimed Tools Appl 74, 2433–2447 (2015). https://doi.org/10.1007/s11042-014-1884-7

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