• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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Tag Based Web Resource Recommendation System


Je-In Song, Ok-Ran Jeong, Journal of Internet Computing and Services, Vol. 17, No. 6, pp. 133-142, Dec. 2016
10.7472/jksii.2016.17.6.133, Full Text:  HTML
Keywords: Recommendation, tagging, Context Information, Web Service, Web resource

Abstract

Recent web services provide tagging function to users, and let them express the topic of the contents of their articles. Moreover, we can extract context information like emotion of the writer efficiently by using tags attached to the articles or images. And we are able to better understand article than traditional algorithm. (eg. TF-IDF) Therefore, if we use tags in recommendation system, we can recommend high quality resources to the users. This study proposes a recommendation method that provide web resources (articles, users) through simple algorithm based on related tag set extracted from the article. Through the experiments, we show that the result was satisfactory, and we measure the satisfaction of users.


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Cite this article
[APA Style]
Song, J. & Jeong, O. (2016). Tag Based Web Resource Recommendation System. Journal of Internet Computing and Services, 17(6), 133-142. DOI: 10.7472/jksii.2016.17.6.133.

[IEEE Style]
J. Song and O. Jeong, "Tag Based Web Resource Recommendation System," Journal of Internet Computing and Services, vol. 17, no. 6, pp. 133-142, 2016. DOI: 10.7472/jksii.2016.17.6.133.

[ACM Style]
Je-In Song and Ok-Ran Jeong. 2016. Tag Based Web Resource Recommendation System. Journal of Internet Computing and Services, 17, 6, (2016), 133-142. DOI: 10.7472/jksii.2016.17.6.133.