Li X, Chen H C. Recommendation as Link Prediction in Bipartite Graphs: A Graph Kernel-Based Machine Learning Approach. Decision Support Systems, 2013, 54(2): 880-890
[2]
Liu J G, Zhou T, Wang B H. Personalized Recommendation System Research Process. Progress in Natural Science, 2009, 19(1): 1-15 (in Chinese)(刘建国,周 涛,汪秉宏.个性化推荐系统的研究进展.自然科学进展, 2009, 19(1): 1-15)
[3]
Zhou T, Ren J, Medo M, et al. Bipartite Network Projection and Personal Recommendation. Physical Review E, 2007. DOI: 10.1103/PhysRevE.76.046115
[4]
Gemmell J, Schimoler T, Ramezani M, et al. Improving Folkrank with Item-Based Collaborative Filtering [EB/OL]. [2014-08-30]. http:// ceur-ws.org/Vol-532/paper3.pdf
[5]
Brin S, Page L. The Anatomy of a Large-Scale Hypertextual Web Search Engine [EB/OL]. [2014-08-20]. http:// ilpubs.stanford. edu: 8090/361/1/1998-8.pdf
[6]
Zhang Z K, Zhou T, Zhang Y C. Personalized Recommendation via Integrated Diffusion on User-Item-Tag Tripartite Graphs. Physica A: Statistical Mechanics and Its Applications, 2010, 389(1): 179-186
[7]
Song Y, Zhang L, Giles C L. Automatic Tag Recommendation Algorithms for Social Recommender Systems. ACM Trans on the Web(TWEB), 2011. DOI: 10.1145/1921591.1921595
[8]
Shepitsen A, Gemmell J, Mobasher B, et al. Personalized Recommendation in Social Tagging Systems Using Hierarchical Clustering // Proc of the ACM Conference on Recommender Systems. Lausanne, Switzerland, 2008: 259-266
[9]
Krestel R, Fankhauser P. Personalized Topic-Based Tag Recommendation. Neurocomputing, 2012, 76(1): 61-70
[10]
Durao F, Dolog P. A Personalized Tag-Based Recommendation in Social Web Systems // Proc of the Workshop on Adaptation and Personalization for Web 2.0. Trento, Italy, 2009: 40-49
[11]
Symeonidis P, Nanopoulos A, Manolopoulos Y. A Unified Framework for Providing Recommendations in Social Tagging Systems Based on Ternary Semantic Analysis. IEEE Trans on Knowledge and Data Engineering, 2010, 22(2): 179-192
[12]
García-Crespo , Colomo-Palacios R, Gómez-Berbís J M, et al. SEMO: A Framework for Customer Social Networks Analysis Based on Semantics. Journal of Information Technology, 2010, 25(2): 178-188
[13]
Baruzzo A, Dattolo A, Pudota N, et al. Recommending New Tags Using Domain-Ontologies // Proc of the IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technologies. Milan, Italy, 2009, III: 409-414
[14]
Fu W T, Dong W. Collaborative Indexing and Knowledge Exploration: A Social Learning Model. IEEE Intelligent Systems, 2010, 27(1): 39-46
[15]
Leginus M, Dolog P, emaitis V. Improving Tensor Based Recommenders with Clustering // Proc of the 20th International Conference on User Modeling, Adaptation, and Personalization. Montreal, Canada, 2012: 151-163
[16]
Blattner M, Zhang Y C, Maslov S. Exploring an Opinion Network for Taste Prediction: An Empirical Study. Physica A: Statistical Mechanics and Its Applications, 2007, 373: 753-758
[17]
Goldberg D, Nichols D, Oki B M, et al. Using Collaborative Fil-tering to Weave an Information Tapestry. Communications of the ACM, 1992, 35(12): 61-70
