Leveraging heterogeneous information based on heterogeneous network and homophily theory for community recommendations-Reference-Cited by-同舟云学术

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Leveraging heterogeneous information based on heterogeneous network and homophily theory for community recommendations

Published:2022-03-25 Issue: Volume: Page:
ISSN:1389-5753
Container-title:Electronic Commerce Research
language:en
Short-container-title:Electron Commer Res

Author:

Chen Han,Deng Weiwei^ORCID

Funder

China Postdoctoral Science Foundation

Guangdong Philosophy and Social Science Planning Project

Guangzhou Science and Technology Plan Project

South China Normal University Project

Publisher

Springer Science and Business Media LLC

Subject

Human-Computer Interaction,Economics, Econometrics and Finance (miscellaneous)

Link

https://link.springer.com/content/pdf/10.1007/s10660-022-09546-8.pdf

Reference51 articles.

1. Priharsari, D., & Abedin, B. (2021). What facilitates and constrains value co-creation in online communities: A sociomateriality perspective. Information & Management, 58(6), 103433. https://doi.org/10.1016/j.im.2021.103433

2. Hoskins, J., Gopinath, S., Verhaal, J. C., & Yazdani, E. (2021). The influence of the online community, professional critics, and location similarity on review ratings for niche and mainstream brands. Journal of the Academy of Marketing Science, 49(6), 1065–1087. https://doi.org/10.1007/s11747-021-00780-4

3. Han, X., Wang, L., Farahbakhsh, R., Cuevas, Á., Cuevas, R., Crespi, N., & He, L. (2016). CSD: A multi-user similarity metric for community recommendation in online social networks. Expert Systems with Applications, 53, 14–26. https://doi.org/10.1016/j.eswa.2016.01.003

4. Zhang, W., Chen, Z., Zha, H., & Wang, J. (2021). Learning from substitutable and complementary relations for graph-based sequential product recommendation. ACM Transactions on Information Systems, 40(2), 26:1-26:28. https://doi.org/10.1145/3464302

5. Jha, G. K., Gaur, M., & Thakur, H. K. (2022). A trust-worthy approach to recommend movies for communities. Multimedia Tools and Applications. https://doi.org/10.1007/s11042-021-11544-1

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