Presentation 2011/5/12
Recommendation based on Customers' Interests estimated from Sequences of Stop Points in a Retail Shop
HIROYUKI KIDOKORO, KOJI KAMEI, KAZUHIKO SHINOZAWA, TAKAHIRO MIYASHITA, NORIHIRO HAGITA,
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Abstract(in English) We have been developing a network robot system named "Ubiquitous Market Platform." With the proposed platform, shopping malls are equipped with various kinds of sensors to understand the purchasing behaviors of customers from observation of customers' trajectories and eye movements, etc. This paper proposes a recommendation method represented with network robot and digital signage based on customers' interests estimated from sequences of stop points measured by LRFs in store environment. It also reports a user study in the experimental environment to evaluate the proposed method.
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Paper # Vol.2011-GN-80 No.8
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Conference Date 2011/5/12(1days)
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Language JPN
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Title (in English) Recommendation based on Customers' Interests estimated from Sequences of Stop Points in a Retail Shop
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1st Author's Name HIROYUKI KIDOKORO
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University:ATR Intelligent Robotics Laboratories()
2nd Author's Name KOJI KAMEI
2nd Author's Affiliation ATR Intelligent Robotics Laboratories
3rd Author's Name KAZUHIKO SHINOZAWA
3rd Author's Affiliation ATR Intelligent Robotics Laboratories
4th Author's Name TAKAHIRO MIYASHITA
4th Author's Affiliation Graduate School of Information Science and Technology, Osaka University:ATR Intelligent Robotics Laboratories
5th Author's Name NORIHIRO HAGITA
5th Author's Affiliation Graduate School of Information Science and Technology, Osaka University:ATR Intelligent Robotics Laboratories
Date 2011/5/12
Paper # Vol.2011-GN-80 No.8
Volume (vol) vol.111
Number (no) 50
Page pp.pp.-
#Pages 8
Date of Issue