IGSNRR OpenIR
Location Recommendation of Digital Signage Based on Multi-Source Information Fusion
Xie, Xiaolan1; Zhang, Xun1,2; Fu, Jingying2,3; Jiang, Dong2; Yu, Chongchong1; Jin, Min1
2018-07-01
Source PublicationSUSTAINABILITY
ISSN2071-1050
Volume10Issue:7Pages:21
Corresponding AuthorZhang, Xun(zhangxun@btbu.edu.cn) ; Fu, Jingying(fujy@igsnrr.ac.cn)
AbstractWith the increasing amount of digital signage and the complexity of digital signage services, the problem of introducing precise location recommendation methods for digital signage should be solved by digital signage enterprises. This research aims to provide a sustainable location recommendation model that integrates the spatial characteristics of geographic locations and multi-source feature data to recommend locations for digital signage. We used the outdoor commercial digital signage within the Sixth Ring Road area in Beijing as an example and combined it with economic census, population census, average house prices, social network check-in data, and the centrality of traffic networks that have an impact on the sustainable development of the regional economy as research data. The result shows that the proposed method has higher precision and recall in location recommendation, which indicates that this method has a better recommendation effect. It can further improve the recommendation quality and the deployment of digital signage. By this method, we can optimize resource allocation and make the economics and resources sustainable. The digital signage recommendation results of the Beijing City Sixth Ring Road indicated that the areas suitable for digital signage were primarily distributed in Wangfujing, Financial Street, Beijing West Railway Station, and tourist attractions in the northwest direction of the Fifth Ring Road. The research of this paper not only provides a reference for the integration of geographical features and their related elements data in a location recommendation algorithm but also effectively improves the science of digital signage layout, prompting advertising efforts to advance precision, personalization, low carbonization, and sustainable development.
Keywordlocation recommendation digital signage spatial features multi-source information region division
DOI10.3390/su10072357
WOS KeywordOF-INTEREST RECOMMENDATION ; AUDIENCE MEASUREMENT ; LEARNING RECENCY ; SOCIAL NETWORK ; SYSTEMS ; USER ; TRAJECTORIES ; AWARENESS ; SERVICES ; BEHAVIOR
Indexed BySCI
Language英语
Funding ProjectResearch Project of Ministry of Science and Technology of China[2016YFC1201300] ; Humanities and Social Science on Youth Fund of the ministry of Education[15YJCZH224] ; China Postdoctoral Science Foundation[2017M620885] ; Opening Fund of Capital Circulation Industry Research Base[JD-YB-2017-010]
Funding OrganizationResearch Project of Ministry of Science and Technology of China ; Humanities and Social Science on Youth Fund of the ministry of Education ; China Postdoctoral Science Foundation ; Opening Fund of Capital Circulation Industry Research Base
WOS Research AreaScience & Technology - Other Topics ; Environmental Sciences & Ecology
WOS SubjectGREEN & SUSTAINABLE SCIENCE & TECHNOLOGY ; Environmental Sciences ; Environmental Studies
WOS IDWOS:000440947600248
PublisherMDPI
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/54359
Collection中国科学院地理科学与资源研究所
Corresponding AuthorZhang, Xun; Fu, Jingying
Affiliation1.Beijing Technol & Business Univ, Sch Comp & Informat Engn, Beijing Key Lab Big Data Technol Food Safety, Beijing 100048, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Resources Utilizat & Environm Remediat, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Xie, Xiaolan,Zhang, Xun,Fu, Jingying,et al. Location Recommendation of Digital Signage Based on Multi-Source Information Fusion[J]. SUSTAINABILITY,2018,10(7):21.
APA Xie, Xiaolan,Zhang, Xun,Fu, Jingying,Jiang, Dong,Yu, Chongchong,&Jin, Min.(2018).Location Recommendation of Digital Signage Based on Multi-Source Information Fusion.SUSTAINABILITY,10(7),21.
MLA Xie, Xiaolan,et al."Location Recommendation of Digital Signage Based on Multi-Source Information Fusion".SUSTAINABILITY 10.7(2018):21.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xie, Xiaolan]'s Articles
[Zhang, Xun]'s Articles
[Fu, Jingying]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xie, Xiaolan]'s Articles
[Zhang, Xun]'s Articles
[Fu, Jingying]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xie, Xiaolan]'s Articles
[Zhang, Xun]'s Articles
[Fu, Jingying]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.