Providing Targeted Digital Signage: Possible Solutions

Author:

Sandkuhl Kurt,Smirnov Alexander,Shilov Nikolay

Abstract

Presenting information to a wide audience through digital signage has now become a very popular way in both public areas (shopping centers, exhibitions) and areas accessible by limited groups of people (condominiums, office buildings). This method of information delivery can be used both for advertising and for non-commercial information. Although targeted information delivery to one person (for example, banner ads on web pages) is already very well developed, the design of digital signage systems that provide targeted information has not been paid enough attention. The paper proposes an approach to providing information through targeted digital signage. The research method used in this work is based on the design science research (DSR) approach. This is an approach to problem solving, motivated and initiated by a specific business problem and trying to solve this problem by creating and verifying information technology artifacts, such as prototypes, models, methods, or architectures. Based on this method, the problem was refined, in particular, from the point of view of the housing industry, which led to the development of a new solution to support business processes of stakeholder groups in the industry. Verification of the draft decision showed that additional technological solutions are needed, such as user identification support, search for common preferences for a group of users, ensuring confidentiality of interests and preferences of individual users. The paper also proposes technologies for user identification and finding common interests and preferences.

Publisher

SPIIRAS

Subject

Artificial Intelligence,Computer Networks and Communications,Control and Systems Engineering,Control and Systems Engineering,Applied Mathematics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Complex User Identification and Behavior Anomaly Detection in Corporate Smart Spaces;Lecture Notes in Computer Science;2022

2. Method of Real-Time Speaker Identifying by Voice;Lecture Notes in Electrical Engineering;2021

3. Personalized Information Representation to Anonymous Users: Digital Signage Case;Software Engineering Perspectives in Intelligent Systems;2020

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3