Author:
Li Xichang,Putra Santoso Surya,Zhang Rui
Publisher
Springer Nature Switzerland
Reference31 articles.
1. Xu, X., Dutta, K., Datta, A., Ge, C.: Identifying functional aspects from user reviews for functionality-based mobile app recommendation. J. Am. Soc. Inf. Sci. 69(2), 242–255 (2018)
2. Liu, B., Kong, D., Cen, L., Gong, N.Z., Jin, H., Xiong, H.: Personalized mobile app recommendation: reconciling app functionality and user privacy preference. In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining (WSDM 2015), pp. 315–324. ACM (2015)
3. Xu, Y., et al.: Machine learning-driven apps recommendation for energy optimization in green communication and networking for connected and autonomous vehicles. IEEE Trans. Green Commun. Networking 6(3), 1543–1552 (2022)
4. Ma, S.P., Lee, S.J., Lee, W.T., Lin, J.H., Lin, J.H.: Mobile application search: a QoS-aware and tag-based approach. EAI Endorsed Trans. Indust. Netw. Intellig. Syst. 2(4), e6 (2015)
5. Rodrigues, P., Silva, I.S., Barbosa, G.A.R., Coutinho, F.R.D.S., Mourão, F.: Beyond the stars: towards a novel sentiment rating to evaluate applications in web stores of mobile apps. In: Proceedings of the 26th International Conference on World Wide Web Companion, pp. 109–117. International World Wide Web Conferences Steering Committee (2017)