Knowledge Commons of Institute of Automation,CAS
Predicting product adoption intentions: An integrated behavioral model-inspired multiview learning approach | |
Zhang, Zhu1,2; Wei, Xuan3; Zheng, Xiaolong1,4; Zeng, Daniel Dajun1,2,4 | |
发表期刊 | INFORMATION & MANAGEMENT |
ISSN | 0378-7206 |
2021-11-01 | |
卷号 | 58期号:7页码:12 |
通讯作者 | Zheng, Xiaolong(xiaolong.zheng@ia.ac.cn) |
摘要 | Mining product adoption intentions from social media could provide insights for many business practices, such as social media marketing. Existing methods mainly focus on text information but overlook other types of data. In light of the Integrated Behavioral Model (IBM), in this study, we argue that it is valuable to consider users' social connections in addition to postings for identifying product adoption intentions. Based on this rationale, we propose a novel multiview deep learning framework to identify product adoption intentions. Extensive experiments show our proposed approach is effective, and demonstrate the benefit of incorporating social network information for intention identification. |
关键词 | Text mining Deep learning Product adoption intention Multi-view learning |
DOI | 10.1016/j.im.2021.103484 |
关键词[WOS] | NEURAL-NETWORKS ; SYSTEMS |
收录类别 | SCI |
语种 | 英语 |
资助项目 | Ministry of Science and Technology of China[2020AAA0108401] ; Ministry of Science and Technology of China[2019QY (Y) 0101] ; Ministry of Science and Technology of China[2020AAA0103405] ; National Natural Science Foundation of China[71974187] ; National Natural Science Foundation of China[71621002] ; National Natural Science Foundation of China[71902179] ; National Natural Science Foundation of China[72074209] ; Longhua District Science and Technology Innovation Fund[10162a20200617b70da63] ; National Science Foundation[1228509] |
项目资助者 | Ministry of Science and Technology of China ; National Natural Science Foundation of China ; Longhua District Science and Technology Innovation Fund ; National Science Foundation |
WOS研究方向 | Computer Science ; Information Science & Library Science ; Business & Economics |
WOS类目 | Computer Science, Information Systems ; Information Science & Library Science ; Management |
WOS记录号 | WOS:000697698400001 |
出版者 | ELSEVIER |
七大方向——子方向分类 | 推荐系统 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/46056 |
专题 | 多模态人工智能系统全国重点实验室_互联网大数据与信息安全 |
通讯作者 | Zheng, Xiaolong |
作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Shenzhen Artificial Intelligence & Data Sci Res I, Shenzhen 518129, Peoples R China 3.Shanghai Jiao Tong Univ, Antai Coll Econ & Management, Dept Informat Technol & Innovat, Shanghai 200030, Peoples R China 4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 101408, Peoples R China |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Zhang, Zhu,Wei, Xuan,Zheng, Xiaolong,et al. Predicting product adoption intentions: An integrated behavioral model-inspired multiview learning approach[J]. INFORMATION & MANAGEMENT,2021,58(7):12. |
APA | Zhang, Zhu,Wei, Xuan,Zheng, Xiaolong,&Zeng, Daniel Dajun.(2021).Predicting product adoption intentions: An integrated behavioral model-inspired multiview learning approach.INFORMATION & MANAGEMENT,58(7),12. |
MLA | Zhang, Zhu,et al."Predicting product adoption intentions: An integrated behavioral model-inspired multiview learning approach".INFORMATION & MANAGEMENT 58.7(2021):12. |
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