Extraction Method of Multi-User`s Common Interests Using Facebook`s "like" List


KIPS Transactions on Software and Data Engineering, Vol. 4, No. 6, pp. 269-276, Jun. 2015
10.3745/KTSDE.2015.4.6.269,   PDF Download:

Abstract

The today``s rapid spread of smartphones makes it easier to use SNS. However, it reveals only their daily life or interest. Therefore, it is hard to really get to know the detailed part of multi-user``s common interests. This paper proposes a content recommendation system which recommends people wanted by identifying common interests through SNS. Recommendation system includes proposal formula considering people wanted and deviation in group. After simulation, the proposed system provide high-quality adapted contents to many users by recommendation item according to the common interest. Number of cases about formula are four. It recommend contents that they have many number of ``like`` and few number of deviation in users. The proposed system proves by simulations of four cases and read user``s ``likes`` data. It provide high-quality adapted contents to many users by recommendation item according to the common interest.


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Cite this article
[IEEE Style]
Y. Lim and S. Park, "Extraction Method of Multi-User`s Common Interests Using Facebook`s "like" List," KIPS Transactions on Software and Data Engineering, vol. 4, no. 6, pp. 269-276, 2015. DOI: 10.3745/KTSDE.2015.4.6.269.

[ACM Style]
Yeonju Lim and Sangwon Park. 2015. Extraction Method of Multi-User`s Common Interests Using Facebook`s "like" List. KIPS Transactions on Software and Data Engineering, 4, 6, (2015), 269-276. DOI: 10.3745/KTSDE.2015.4.6.269.