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

Authors:
Jae Yoel Yoon;Iee Joon Kim;Ji Yeon Lim;Seung Kwan Kim;Ung Mo Kim
Affiliations:
SungKyunKwan University, CheonCheon-Dong, JangAn-Gu, Suwon, Gyueongi-do, South Korea;SungKyunKwan University, CheonCheon-Dong, JangAn-Gu, Suwon, Gyueongi-do, South Korea;SungKyunKwan University, CheonCheon-Dong, JangAn-Gu, Suwon, Gyueongi-do, South Korea;Engineering SungKyunKwan University, CheonCheon-Dong, JangAn-Gu, Suwon, Gyueongi-do, South Korea;Engineering SungKyunKwan University, CheonCheon-Dong, JangAn-Gu, Suwon, Gyueongi-do, South Korea
Venue:
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Year:
2012

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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.