• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

A recommendation algorithm which reflects tag and time information of social network


Hyeon Jo, Jong-Hyun Hong, Joon Yeon Choeh, Soung Hie Kim, Journal of Internet Computing and Services, Vol. 14, No. 2, pp. 15-24, Apr. 2013
10.7472/jksii.2013.14.2.15, Full Text:
Keywords: Recommender System, Social Bookmarking System, Social Network

Abstract

In recent years, the number of social network system has grown rapidly. Among them, social bookmarking system(SBS) is one of the most popular systems. SBS provides network platform which users can share and manage various types of online resources by using tags. In SBS, it can be possible to reflect tag and time in order to enhance the quality of personalized recommendation. In this paper, we proposed recommender system which reflect tag and time at weight generation and similarity calculation. Also we adapted proposed method to real dataset and the result of experiment showed that the our method offers better performance when such information is integrated.


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Cite this article
[APA Style]
Hyeon Jo, Jong-Hyun Hong, Joon Yeon Choeh, & Soung Hie Kim (2013). A recommendation algorithm which reflects tag and time information of social network. Journal of Internet Computing and Services, 14(2), 15-24. DOI: 10.7472/jksii.2013.14.2.15.

[IEEE Style]
H. Jo, J. Hong, J. Y. Choeh and S. H. Kim, "A recommendation algorithm which reflects tag and time information of social network," Journal of Internet Computing and Services, vol. 14, no. 2, pp. 15-24, 2013. DOI: 10.7472/jksii.2013.14.2.15.

[ACM Style]
Hyeon Jo, Jong-Hyun Hong, Joon Yeon Choeh, and Soung Hie Kim. 2013. A recommendation algorithm which reflects tag and time information of social network. Journal of Internet Computing and Services, 14, 2, (2013), 15-24. DOI: 10.7472/jksii.2013.14.2.15.