Digital Signage service through Customer Behavior pattern analysis (고객 행동 패턴 분석을 통한 디지털 사이니지 서비스)

Min-Chan Shin (신민찬); Jun-Hee Park (박준희); JI-Hoon Lee (이지훈); Nammee Moon (문남미)

doi:10.9708/jksci.2020.25.09.053

Digital Signage service through Customer Behavior pattern analysis

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2020, 25(9), pp.53-62
DOI : 10.9708/jksci.2020.25.09.053
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : August 13, 2020
Accepted : September 9, 2020
Published : September 29, 2020

Min-Chan Shin ¹, Jun-Hee Park ¹, JI-Hoon Lee ¹, Nammee Moon ¹

¹호서대학교

Accredited

ABSTRACT

Product recommendation services that have been researched recently are only recommended through the customer's product purchase history. In this paper, we propose the digital signage service through customers’ behavior pattern analysis that is recommending through not only purchase history, but also behavior pattern that customers take when choosing products. This service analyzes customer behavior patterns and extracts interests about products that are of practical interest. The service is learning extracted interest rate and customers’ purchase history through the Wide & Deep model. Based on this learning method, the sparse vector of other products is predicted through the MF(Matrix Factorization). After derive the ranking of predicted product interest rate, this service uses the indoor signage that can interact with customers to expose the suitable advertisements. Through this proposed service, not only online, but also in an offline environment, it would be possible to grasp customers’ interest information. Also, it will create a satisfactory purchasing environment by providing suitable advertisements to customers, not advertisements that advertisers randomly expose.

KEYWORDS

Intelligent digital signage, Behavior pattern analysis, Skeleton modeling, Behavior big data, Sensor data analysis

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* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Digital Signage service through Customer Behavior pattern analysis

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Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Digital Signage service through Customer Behavior pattern analysis

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.