Presentation 2015-12-18
Booth and visitors feature analysis of considering the residence time based on Wi-Fi log data
Akifumi Kiyohiro, Masaki Maruta, Tsunenori Mine,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) With the spread of smart devices, user location data can easily be captured by using Wi-Fi devices and results of analyzing the location data can be used for marketing. Finding popular booths is useful for creating a future strategy and making a new recommendation service for the marketing. Since the popularity of the booths strongly depends on interests of exhibition visitors, we investigated the visitor interests considering not only the number of visitors, but also their staying time at each booth. In this paper, we report characteristics of the top 15 booths according to the relation between the number of visitors and their staying time at each booth. We first distinguished visitors from staffs and devices in the time-series location data we used, and investigated the placement and categories of the top 15 booths, where the booths were selected according to the number of visitors, their staying time, and the area of each booth.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Big Data / Wi-Fi log data / Residence time / Interest determination / Exhibition
Paper # AI2015-27
Date of Issue 2015-12-11 (AI)

Conference Information
Committee AI
Conference Date 2015/12/18(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Toshiharu Sugawara(Waseda Univ.)
Vice Chair Tsunenori Mine(Kyushu Univ.) / Daisuke Katagami(Tokyo Polytechnic Univ.)
Secretary Tsunenori Mine(Kyoto Univ.) / Daisuke Katagami(Shizuoka Univ.)
Assistant Yuichi Sei(Univ. of Electro-Comm.)

Paper Information
Registration To Technical Committee on Artificial Intelligence and Knowledge-Based Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Booth and visitors feature analysis of considering the residence time based on Wi-Fi log data
Sub Title (in English)
Keyword(1) Big Data
Keyword(2) Wi-Fi log data
Keyword(3) Residence time
Keyword(4) Interest determination
Keyword(5) Exhibition
1st Author's Name Akifumi Kiyohiro
1st Author's Affiliation Kyushu University(Kyushu Univ.)
2nd Author's Name Masaki Maruta
2nd Author's Affiliation Kyushu University(Kyushu Univ.)
3rd Author's Name Tsunenori Mine
3rd Author's Affiliation Kyushu University(Kyushu Univ.)
Date 2015-12-18
Paper # AI2015-27
Volume (vol) vol.115
Number (no) AI-381
Page pp.pp.7-12(AI),
#Pages 6
Date of Issue 2015-12-11 (AI)