[1] 郑跃平,黄博涵. "互联网+政务"报告(2016)——移动政务的现状与未来[J]. 电子政务, 2016(9):16-31.(ZHENG Y P, HUANG B H. "Internet+government" report (2016)-the current situation and future of mobile government[J]. E-Government, 2016(9):16-31.) [2] 姜岚.探索"互联网+政务"服务新模式[J].黑龙江科技信息,2016(13):183.(JIANG L. Exploring the new mode of "Internet+Government Service"[J]. Heilongjiang Science and Technology Information, 2016(13):183.) [3] ZHAO W X, LI S, HE Y, et al. Connecting social media to e-commerce:cold-start product recommendation using microblogging information[J]. IEEE Transactions on Knowledge and Data Engineering, 2016, 28(5):1147-1159. [4] SCHOLZ M, DORNER V, SCHRYEN G, et al. A configuration-based recommender system for supporting e-commerce decisions[J]. European Journal of Operational Research, 2017, 259(1):205-215. [5] GUO C. Feature generation and selection on the heterogeneous graph for music recommendation[C]//Proceedings of the 9th ACM International Conference on Web Search and Data Mining. New York:ACM, 2016:715. [6] ABDOLLAHI B, NASRAOUI O. Explainable matrix factorization for collaborative filtering[C]//Proceedings of the 25th International Conference Companion on World Wide Web. Republic and Canton of Geneva, Switzerland:International World Wide Web Conferences Steering Committee, 2016:5-6. [7] 牟向伟.模糊语义个性化推荐系统在电子政务中的应用研究[D].大连:大连海事大学,2010:13-20.(MOU X W. Fuzzy semantic personalized recommendation system and application to e-government[D]. Dalian:Dalian Maritime University, 2010:13-20.) [8] GUO X, LU J. Intelligent e-government services with personalized recommendation techniques[J]. International Journal of Intelligent Systems, 2007, 22(5):401-417. [9] XU Y, SHAMBOUR Q, LIN Q, et al. BizSeeker:a hybrid semantic recommendation system for personalized government-to-business e-services[J]. Internet Research, 2010, 20(3):342-365. [10] 杨大寨.基于本体理论的政务信息资源个性化应用研究[D].合肥:合肥工业大学,2014:15-40.(YANG D Z. Research on personalized applications of government information resource based on ontological theory[D]. Hefei:Hefei University of Technology, 2014:15-40.) [11] AL-HASSAN M, LU H, LU J. A semantic enhanced hybrid recommendation approach:a case study of e-government tourism service recommendation system[J]. Decision Support Systems, 2015, 72:97-109. [12] ZHU Y, ZHANG S, WANG Y, et al. A social network-based expertise-enhanced collaborative filtering method for e-government service recommendation[J]. Advances in Information Sciences & Service Sciences, 2013, 5(10):724-735. [13] AYACHI R, BOUKHRIS I, MELLOULI S, et al. Proactive and reactive e-government services recommendation[J]. Universal Access in the Information Society, 2016, 15(4):681-697. [14] SHAMBOUR Q, LU J. A hybrid trust-enhanced collaborative filtering recommendation approach for personalized government-to-business e-services[J]. International Journal of Intelligent Systems, 2011, 26(9):814-843. [15] NEWMAN M E J. Detecting community structure in networks[J]. The European Physical Journal B, 2004, 38(2):321-330. [16] BLONDEL V D, GUILLAUME J L, LAMBIOTTE R, et al. Fast unfolding of community hierarchies in large networks[J]. Journal of Statistical Mechanics, 2008, 3(1):1-7. [17] SARWAR B, KARYPIS G, KONSTAN J, et al. Analysis of recommendation algorithm for e-commerce[C]//Proceedings of the 2nd ACM Conference on Electronic commerce. New York:ACM, 2000:158-167. [18] HAMMAR M, KARLSSON R, NILSSON B J. Using maximum coverage to optimize recommendation systems in e-commerce[EB/OL].[2016-11-26]. http://muep.mah.se/bitstream/handle/2043/16856/paper-theoneused.pdf?sequence=2&isAllowed=y. [19] ZIEGLER C N, MCNEE S M, KONSTAN J A, et al. Improving recommendation lists through topic diversification[C]//Proceedings of the 14th International Conference on World Wide Web. New York:ACM, 2005:22-32. |