Presentation 2020-06-27
A Recommendation Method of Health Article based on Association Rule for Health Terms Appeared on the Web
Trinh Viet Thong, Takano Kosuke,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper presents a recommendation method of health articles based on association rules for health terms appeared on Web documents. On the Web search for health information, we sometimes find it difficult to decide which Web articles are relevant to our symptoms and reliable information. The proposed method classifies health articles and make scores on each article based on association rules, and then, recommends health articles with high confidence or support values according to user’s symptoms. In the experiment, we evaluate the feasibility of our proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Association rule / health and medical information / Web / information recommendation / reliability score
Paper # DE2020-4
Date of Issue 2020-06-20 (DE)

Conference Information
Committee DE
Conference Date 2020/6/27(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Social Computing
Chair Jun Miyazaki(Tokyo Inst. of Tech.)
Vice Chair Shohei Yokoyama(Tokyo Metropolitan Univ.) / Kazuo Goda(Univ. of Tokyo)
Secretary Shohei Yokoyama(NTT) / Kazuo Goda(Univ. of Hyogo)
Assistant Saneyasu Yamaguchi(Kogakuin Univ.) / Shoko Wakamiya(NAIST)

Paper Information
Registration To Technical Committee on Data Engineering
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Recommendation Method of Health Article based on Association Rule for Health Terms Appeared on the Web
Sub Title (in English)
Keyword(1) Association rule
Keyword(2) health and medical information
Keyword(3) Web
Keyword(4) information recommendation
Keyword(5) reliability score
1st Author's Name Trinh Viet Thong
1st Author's Affiliation Kanagawa Institute of Technology(KAIT)
2nd Author's Name Takano Kosuke
2nd Author's Affiliation Kanagawa Institute of Technology(KAIT)
Date 2020-06-27
Paper # DE2020-4
Volume (vol) vol.120
Number (no) DE-78
Page pp.pp.19-24(DE),
#Pages 6
Date of Issue 2020-06-20 (DE)