Location Recommendation of Digital Signage Based on Multi-Source Information Fusion
文献类型：期刊论文
| 作者 | Xie, Xiaolan2; Zhang, Xun1,2; Fu, Jingying1,3; Jiang, Dong1; Yu, Chongchong2; Jin, Min2 |
| 刊名 | SUSTAINABILITY
 |
| 出版日期 | 2018-07-01 |
| 卷号 | 10期号:7页码:21 |
| 关键词 | location recommendation digital signage spatial features multi-source information region division |
| ISSN号 | 2071-1050 |
| DOI | 10.3390/su10072357 |
| 通讯作者 | Zhang, Xun(zhangxun@btbu.edu.cn) ; Fu, Jingying(fujy@igsnrr.ac.cn) |
| 英文摘要 | With 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. |
| WOS关键词 | OF-INTEREST RECOMMENDATION ; AUDIENCE MEASUREMENT ; LEARNING RECENCY ; SOCIAL NETWORK ; SYSTEMS ; USER ; TRAJECTORIES ; AWARENESS ; SERVICES ; BEHAVIOR |
| 资助项目 | Research 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] |
| WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000440947600248 |
| 出版者 | MDPI |
| 资助机构 | Research 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 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/54358]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Xun; Fu, Jingying |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Resources Utilizat & Environm Remediat, Beijing 100101, Peoples R China 2.Beijing Technol & Business Univ, Sch Comp & Informat Engn, Beijing Key Lab Big Data Technol Food Safety, Beijing 100048, Peoples R China 3.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：地理科学与资源研究所
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