Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Reference39 articles.
1. Bahramian Z, Abbaspour RA, Claramunt C, 2017. A cold start context-aware recommender system for tour planning using artificial neural network and case based reasoning. Mob Inform Syst, 2017:9364903. https://doi.org/10.1155/2017/9364903
2. Chen S, Yang ZY, Sun LY, et al., 2015. Research on design knowledge analytical method during sketching—combining acoustic energy feature and creative segment theory. J Zhejiang Univ Eng Sci, 49(11):2073–2082 (in Chinese).
3. Devi MKK, Samy RT, Kumar SV, et al., 2010. Probabilistic neural network approach to alleviate sparsity and cold start problems in collaborative recommender systems. Proc IEEE Int Conf on Computational Intelligence and Computing Research, p.1–4. https://doi.org/10.1109/ICCIC.2010.5705777
4. Dong SY, Xu JX, Wang KQ, et al., 2013. Active push model of manufacturing process knowledge in CAD platform based on immune process. Comput Integr Manuf Syst, 19(7):1520–1531 (in Chinese). https://doi.org/10.13196/jxims.2013.07.82.dongsy.016
5. Fan ZP, Feng Y, Sun YH, et al., 2005. A framework on compound knowledge push system oriented to organizational employees. Proc 1st Int Workshop on Internet and Network Economics, p.622–630. https://doi.org/10.1007/11600930_62
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献