Presentation 2018-03-16
Activity Analysis of Commercial Facility Web Page based on Geolocation using Graph Signal Processing
Yoshihiro Kato, Ken Sakurada, Nobuo Kawaguchi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a novel method to analyze web pages of commercial facilities considering their geolocations by graph signal processing.Our approach utilizes weighted graph that consists of distance between facilities and graph signal which is defined by update frequency of commercial facility web page.By filtering the low frequency content of graph signal, we detect a commercial facility web page which shows distinctive activity in target area.To evaluate the effectiveness of the filtering, we compare regional distribution of facilities with high signal values before and after the filtering and visualize it on a map.As a result, the proposed method enables to make unbiased distribution of web pages with high signal values on a map, considering regional differences.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Web Page Analysis / Web Marketing / Graph Signal Processing / Graph Fourier Transform
Paper # SC2017-35
Date of Issue 2018-03-09 (SC)

Conference Information
Committee SC
Conference Date 2018/3/16(1days)
Place (in Japanese) (See Japanese page)
Place (in English) NII
Topics (in Japanese) (See Japanese page)
Topics (in English) Foundation and Application of Smart Services, etc.
Chair Incheon Paik(Univ. of Aizu)
Vice Chair Masahide Nakamura(Kobe Univ.)
Secretary Masahide Nakamura(NEC)
Assistant

Paper Information
Registration To Technical Committee on Service Computing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Activity Analysis of Commercial Facility Web Page based on Geolocation using Graph Signal Processing
Sub Title (in English)
Keyword(1) Web Page Analysis
Keyword(2) Web Marketing
Keyword(3) Graph Signal Processing
Keyword(4) Graph Fourier Transform
1st Author's Name Yoshihiro Kato
1st Author's Affiliation Nagoya University(Nagoya Univ.)
2nd Author's Name Ken Sakurada
2nd Author's Affiliation Nagoya University(Nagoya Univ.)
3rd Author's Name Nobuo Kawaguchi
3rd Author's Affiliation Nagoya University(Nagoya Univ.)
Date 2018-03-16
Paper # SC2017-35
Volume (vol) vol.117
Number (no) SC-512
Page pp.pp.27-32(SC),
#Pages 6
Date of Issue 2018-03-09 (SC)