Presentation 2019-09-10
A Method to Estimate Quantity of Known Information using Word Embedding for Browsing Efficiency Improvement in Web Search Results
Jumpei Yamada, Daisuke Kitayama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In recent years, with the spread of the Internet and information terminals,opportunities for Web search using search engines are increasing. There have been many researches to make Web search more convenient. However, there are many cases where efficient Web search is not possible. So we focused on the problem that if browsing randomly the Web search results, knowledge cannot be obtained efficiently with the same contents as the visited pages. This problem can be solved by presenting the quantity of known information as comparison criteria between the included information and visited pages for the contents of unvisited pages in the Web search results. In this paper, we suggest a method to estimate the topics included from the word set of visited pages using hierarchical clustering, predicting using degree of similarity the contents from the word set of the snippet of the unvisited page, and Estimate Quantity of Known Information.
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # DE2019-17
Date of Issue 2019-09-03 (DE)

Conference Information
Committee DE / IPSJ-DBS / IPSJ-IFAT
Conference Date 2019/9/10(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Kogakuin University
Topics (in Japanese) (See Japanese page)
Topics (in English)
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 / Special Interest Group on Database System / Special Interest Group on Information Fundamentals and Access Technologies
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Method to Estimate Quantity of Known Information using Word Embedding for Browsing Efficiency Improvement in Web Search Results
Sub Title (in English)
Keyword(1)
Keyword(2)
Keyword(3)
Keyword(4)
1st Author's Name Jumpei Yamada
1st Author's Affiliation Kogakuin University(Kogakuin Univ.)
2nd Author's Name Daisuke Kitayama
2nd Author's Affiliation Kogakuin University(Kogakuin Univ.)
Date 2019-09-10
Paper # DE2019-17
Volume (vol) vol.119
Number (no) DE-201
Page pp.pp.13-18(DE),
#Pages 6
Date of Issue 2019-09-03 (DE)