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

Weight-based Wellbeing Food Retrieval System


Gwang-Bum Pyun, Un-Il Yun, Keun-Ho Ryu, Journal of Internet Computing and Services, Vol. 11, No. 3, pp. 75-86, Jun. 2010
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Keywords: Wellbing, Food, Wellbing-Food, Search Engine, Additional Weight Ratio, Rangking

Abstract

As the interests in health grow higher, necessity of Well-being relation informations get more importance. We get the information of well-being, tinternet retrieval system or blog, homepage and media. Although, it is not easy to find informations of well-being food. So, retrieval system has been requiring information about well-being food. In this paper, Weight-based Wellbeing Food Retrieval System is designed and implemention. Finding numerous pages and if well-being keywords includes page, it was identified and add weight. User searching for keywords, it implement, well-being food pages comes at the first. Keywords for discrimination makes type of dictionary, so it can insert, delete, modify. Inverted files saves hasing(direct-based file). Retrieval System in this paper is experimental result, at keywords of well-being food show 5~15% imprement than another Retrieval System. In this paper, Weight-based Wellbeing Food Retrieval System's designed and proposed way to raking for well-being food.


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Cite this article
[APA Style]
Gwang-Bum Pyun, Un-Il Yun, & Keun-Ho Ryu (2010). Weight-based Wellbeing Food Retrieval System. Journal of Internet Computing and Services, 11(3), 75-86.

[IEEE Style]
G. Pyun, U. Yun and K. Ryu, "Weight-based Wellbeing Food Retrieval System," Journal of Internet Computing and Services, vol. 11, no. 3, pp. 75-86, 2010.

[ACM Style]
Gwang-Bum Pyun, Un-Il Yun, and Keun-Ho Ryu. 2010. Weight-based Wellbeing Food Retrieval System. Journal of Internet Computing and Services, 11, 3, (2010), 75-86.