[1]GEORGE G, HAAS M R, PENTLAND A. Big Data and Management: From the Editors[J]. Academy of Management Journal, 2014, 57(2):321-326.
[2]XU H, ZHANG R, LIN C, et al. Construction of E-commerce Recommendation System based on Semantic Annotation of Ontology and User Preference[J]. Telkomnika Indonesian Journal of Electrical Engineering, 2013, 12(3).
[3]YOUNG H P. Diffusion in Social Networks[M]. Springer Publishing Company, Incorporated, 2015.
[4]GUPTA Y, SAINI A, SAXENA A K. A new fuzzy logic based ranking function for efficient Information Retrieval system[J]. Expert Systems with Applications, 2015, 42(3):1223-1234.
[5]WANG X, HUANG Z Y.Network resource personalized recommendation based on K-Means clustering[J]. Journal of Beijing University of Posts and Telecommunications, 2014, 37(S1): 120-124.
[6]OH K J,LEE W J,LIM C G,et al.Personalized news recommendation using classified keywords to capture user preference[C]∥16th Advanced Communication Technology (ICACT) ,2014 International Conference on IEEE.South Korea: IEEE Press,2014: 1283-1287
[7]POLATIDIS N, GEORGIADIS C K. A multi-level collaborative filtering method that improves recommendations[J]. Expert Systems with Applications, 2018, 48:100-110
[8]LI Y M, WU C T, LAI C Y. A social recommender mechanism for e-commerce: Combining similarity, trust, and relationship[J]. Decision Support Systems, 2013, 55(3): 740-752.
[9]SHI Y, LARSON M, HANJALIC A. Mining contextual movie similarity with matrix factorization for context-aware recommendation[J]. ACM Transactions on Intelligent Systems and Technology (TIST), 2013, 4(1): 16.
[10]SHI Y, LARSON M, HANJALIC A. Mining mood-specific movie similarity with matrix factorization for context-aware recommendation[C]//Proceedings of the workshop on context-aware movie recommendation. ACM, 2010: 34-40.
[11]HU J, GAO Z, PAN W. Multiangle Social Network Recommendation Algorithms and Similarity Network Evaluation[J]. Journal of Applied Mathematics, 2013, (2013-7-21), 2013, 2013(2013):3600-3611.
[12]RICCI F, ROKACH L, Shapira B. Introduction to recommender systems handbook[M]. Springer US, 2011.
[13]廖天星, 王玲. 融合项目标签相似性的协同过滤推荐算法[J]. 计算机应用, 2018, 38(4):1007-1011. (LIAO T X, WANG L. Collaborative filtering recommendation algorithm combined with item tag similarity[J]. Journal of Computer Applications 2018,38(4):1007-1011)
[14]CHENYI Z, KE W, EE-PENG L. Are features equally representative? A feature-centric recommendation[C]//Proceedings of the 29th AAAI Conference on Artificial Intelligence. Austin, Texas USA, January 25-29, 2015. Menlo Park, CA: AAAI Press,2015:389-395.
[15]陈洁敏, 李建国, 汤非易, 等. 融合"用户-项目-用户兴趣标签图"的协同好友推荐算法[J]. 计算机科学与探索, 2018(1):92-100. (CHEN J m, L J G, TANG F Y, et all. Combining User-Item-Tag Tripartite Graph and Users’ Personal Interests for Friends Recommendation[J]. Journal of Frontiers of Computer Science and Technology, 2018(1):92-100.)
[16]陈杰, 刘学军, 李斌, 等. 一种基于用户动态兴趣和社交网络的微博推荐方法[J]. 电子学报, 2017, 45(4):898-905.(CHEN J, LIU X J, LI B, et all. Personalized Microblogging Recommendation Based on Dynamic Interests and Social Networking of Users[J]. Acta Electronica Sinica, 2017, 45(4):898-905.).
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