[1] Zhang G Q, Zhang G Q, Yang Q F, Cheng S Q, Zhou T. Evolution of the Internet and its cores. New J. Phys., 2008, 10(12): 123027.[2] Fensel D, Hendler J, Lieberman H. Spinning the Semantic Web: Bringing the World Wide Web to Its Full Potential. Cambridge, US, 2003.[3] Brin S, Page L. The anatomy of a large-scale hypertextual Web search engine. Comput. Netw. ISDN Syst., 1998, 30(1- 7): 107-117.[4] Resnick P, Varian H R. Recommender systems. Commun. ACM, 1997, 40(3): 56.[5] Schafer J B, Konstan J, Riedl J. E-commerce recommendation applications. IEEE Internet Comput., 2001, 5(1-2): 115-153.[6] Linden G, Smith B, York J. Amazon. com recommendations: Item-to-item collaborative filtering. IEEE Internet Comput., 2003, 7(1): 76-80.[7] Bennett J, Lanning S. The netflix prize. In Proc. KDD Cup and Workshop, San Jose, USA, Aug. 12, 2007, pp.35-38.[8] Ali K, van Stam W. TiVo: Making show recommendations using a distributed collaborative filtering architecture. In Proc. 10th ACM SIGKDD Int. Conf. Knowl. Disc. Data Min., Las Vegas, USA, Aug. 24-27, 2008, pp.394-401.[9] Huang Z, Chen H, Zeng D. Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering. ACM Trans. Inf. Syst., 2004, 22(1): 116-142.[10] Zhou T, Ren J, Medo M, Zhang Y C. Bipartite network projection and personal recommendation. Phys. Rev. E, 2007, 76(4): 046115.[11] Herlocker J L, Konstan J A, Terveen L G, Riedl J T. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst., 2004, 22(1): 5-53.[12] Resnick P, Kuwabara K, Zeckhauser R, Friedman E. Reputation systems. Commun. ACM, 2000, 43(12): 45-48.[13] Adomavicius G, Tuzhilin A. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng., 2005, 17(6): 734-749.[14] Kazienko P, Adamski M. AdROSA — Adaptive personalization of Web advertising. Info. Sci., 2007, 177(11): 2269-2295.[15] Tso K, Schmidt-Thieme L. Attribute-aware collaborative filtering. In Proc. From Data and Information Analysis to Knowledge Engineering, Beijing, China, 2006, pp.614-621.[16] Pazzani M J, Billsus D. Content-Based Recommendation Systems. The Adaptive Web, Springer-Verlag, Berlin, 2007, pp.325-341.[17] Albert R, Barabási A L. Statistical mechanics of complex networks. Rev. Mod. Phys., 2002, 74(1): 47-97.[18] Dorogovtsev S N, Mendes J F F. Evolution of networks. Adv. Phys., 2002, 51: 1079.[19] Newman M E J. The structure and function of complex networks. SIAM Rev., 2003, 45(2): 167-256.[20] Boccaletti S, Latora V, Moreno Y, Chavez M, Huang D U. Complex networks: Structure and dynamics. Phys. Rep., 2006, 424(4/5): 175-308.[21] Costa L da F, Rodrigues F A, Traviesor G, Boas P R U. Characterization of complex networks: A survey of measurements. Adv. Phys., 2007, 56(1): 167-242.[22] Mathes A. Folksonomies-cooperative classification and communication through shared metadata. Computer Mediated Communication, 2004, LIS590CMC(10):[23] Cattuto C, Loreto V, Pietronero L. Semiotic dynamics and collaborative tagging. Proc. Natl. Acad. Sci. U.S.A., 2007, 104(5): 1461-1464.[24] Cattuto C, Barrat A, Baldassarri A, Schehr G, Loreto V. Collective dynamics of social annotation. Proc. Natl. Acad. Sci. U.S.A., 2009, 106(26): 10511-10515.[25] Zhang Z K, LÄu L, Liu J G, Zhou T. Empirical analysis on a keyword-based semantic system. Eur. Phys. J. B, 2008, 66(4): 557-561.[26] LÄu L, Zhang Z K, Zhou T. Zipf's law leads to heaps' law: Analyzing their relation in finite-size systems. PLoS ONE, 2010, 5(12): e14139.[27] Sen S, Lam S K, Rashid A M, Cosley D, Frankowski D, Osterhouse J, Harper F M, Riedl J. Tagging, communities, vocabulary, evolution. In Proc. 20th Anniversary Conf. Computer Supported Cooperative Work, Bantt, Canada, Nov. 4-8, 2006, pp.181-190.[28] Nov O. What motivates wikipedians?. Commun. ACM, 2007, 50(11): 60-64.[29] Ding Y, Jacob E K, Zhang Z, Foo S, Yan E, George N L, Guo L. Perspectives on social tagging. J. Am. Soc. Inf. Sci. Technol., 2009, 60(12): 2388-2401.[30] Zhang Z K, Liu C, Zhang Y C, Zhou T. Solving the cold-start problem in recommender systems with social tags. EPL, 2010, 92(2): 28002.[31] Hotho A, JÄaschke R, Schmitz C, Stumme G. Information retrieval in folksonomies: Search and ranking. In Proc. ESWC, Budva, Montenegro, Jun. 11-14, 2006, pp.411-426.[32] Kleinberg J M. Authoritative sources in a hyperlinked environment. Journal of the ACM, 1999, 46(5): 604-632.[33] JÄaschke R, Marinho L, Hotho A, Schmidt-Thieme L, Stumme G. Tag recommendations in folksonomies. In Proc. PKDD2007, Warsaw, Poland, Sept. 17-21, 2007, pp.506-514.[34] Xu S, Bao S, Fei B et al. Exploring folksonomy for personalized search. In Proc. the 31st Annual Int. ACM SIGIR Conf. Res. Dev. Info. Retr., Singapore, Jul. 20-24, 2008, pp.155-162.[35] Bogers T. Recommender systems for social bookmarking [Ph.D. Dissertation]. Tilburg University, Dec. 2009.[36] Bischoff K, Firan C S, Nejdl W, Paiu R. Can all tags be used for search?. In Proc. 17th ACM Conf. Info. Knowl. Manag., Napa Valley, USA, Oct. 26-30, 2008, pp.193-202.[37] Wu H, Zubair M, Maly K. Harvesting social knowledge from folksonomies. In Proc. 7th Conf. Hypertext Hypermedia, Odense, Denmark, Aug. 22-25, 2006, pp.111-114.[38] Spiteri L. Structure and form of folksonomy tags: The road to the public library catalogue. Webology, June 2007, 4(2): 459-468.[39] Lee S S, Yong H S. Component based approach to handle synonym and polysemy in folksonomy. In Proc. Int. Conf. Computer and Information Technology, Aizu-Wakamatsu, Japan, Oct. 16-19, 2007, pp.200-205.[40] Shepitsen A, Gemmell J, Mobasher B, Burke R. Personalized recommendation in social tagging systems using hierarchical clustering. In Proc. the 2008 ACM Conf. Recomm. Syst., Lausanne, Switzerland, Oct. 23-25, 2008, pp.259-266.[41] Capocci A, Caldarelli G. Folksonomies and clustering in the collaborative system CiteULike. J. Phys. A, 2008, 41(22): 224016.[42] Mika P. Ontologies are us: A unified model of social networks and semantics. Web Semantics: Science, Services and Agents on the World Wide Web, 2007, 5(1): 5-15.[43] Kim H L, Scerri S, Breslin J G, Decker S, Kim H G. The state of the art in tag ontologies: A semantic model for tagging and folksonomies. In Proc. 2008 Int. Conf. Dublin Core Metadata Appl., Berlin, Germany, Sept. 22-26, 2008, pp.128-137.[44] Symeonidis P, Nanopoulos A, Manolopoulos Y. Tag recommendations based on tensor dimensionality reduction. In Proc. 2008 ACM Conf. Recomme. Syst., Lausanne, Switzerland, Oct. 23-25, 2008, pp.43-50.[45] Wetzker R, Umbrath W, Said A. A hybrid approach to item recommendation in folksonomies. In Proc. the Workshop Exploiting Semantic Annotation Information Retrieval (WSDM2009), Barcelona, Spain, Feb. 9-11, 2009, pp.25-29.[46] Zhang Z K, Zhou T, Zhang Y C. Personalized recommendation via integrated diffusion on user-item-tag tripartite graphs. Physica A, 2010, 389(1): 179-186.[47] Liu Z, Shi C, Sun M. FolkDiffusion: A graph-based tag suggestion method for folksonomies. In Proc. the 6th Asia Info. Retrieval Societies Conf., Taipei, China, Dec. 1-3, 2010, pp.231- 240.[48] Lipczak M. Tag recommendation for folksonomies oriented towards individual users. In Proc. ECML PKDD Discovery Challenge (RSDC2008), Antwerp, Belgium, Sept. 15, 2008, pp.84-95.[49] Rendle S, Marinho L B, Nanopoulos A, Thieme L S. Learning optimal ranking with tensor factorization for tag recommendation. In Proc. 15th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, Pairs, France, Jun. 28-Jul. 1, 2009, pp.727-736.[50] Ghoshal G, Zlati? V, Caldarelli G et al. Random hypergraphs and their applications. Phys. Rev. E, 2009, 79(6): 066118.[51] Zlati? V, Ghoshal G, Caldarelli G. Hypergraph topological quantities for tagged social networks. Phys. Rev. E, 2009, 80(3): 036118.[52] Zhang Z K, Liu C. A hypergraph model of social tagging networks. J. Stat. Mech., 2010, (10): P10005.[53] Gunawardana A, Shani G. A survey of accuracy evaluation metrics of recommendation tasks. J. Mach. Learn. Res., 2009, 10: 2935-2962.[54] Zhou T, Kuscsik Z, Liu J G et al. Solving the apparent diversity-accuracy dilemma of recommender systems. Proc. Natl. Acad. Sci. U.S.A., 2010, 107(10): 4511-4515.[55] Hanley J A, McNeil B J. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 1982, 143(1): 29-36.[56] Clauset A, Moore C, Newman M E J. Finding community structure in very large networks. Nature, 2008, 453(7191): 98-101.[57] Zhou T, Su R Q, Liu R R, Jiang L L, Wang B H, Zhang Y C. Effect of initial configuration on network-based recommendation. Europhysics Letters, 2008, 81(5): 58004.[58] Shang M S, LÄu L, Zhang Y C et al. Empirical analysis of webbased user-object bipartite networks. EPL, 2010, 90: 48006.[59] Zhang Y C, Blattner M, Yu Y K. Heat conduction process on community networks as a recommendation mode. Phys. Rev. Lett., 2007, 99(15): 154301.[60] Shang M S, Zhang Z K, Zhou T, Zhang Y C. Collaborative filtering with diffusion-based similarity on tripartite graphs. Physica A, 2010, 389(6): 1259-1264.[61] Shang M S, Zhang Z K. Diffusion-based recommendation in collaborative tagging systems. Chin. Phys. Lett., 2009, 26(11): 118903.[62] Wu P, Zhang Z K. Enhancing personalized recommendation in weighted social tagging networks. Physical Procdia, 2010, 3(5): 1877-1885.[63] Salton G, McGill M J. Introduction to Model Information Retrieval. MuGraw-Hill, New York, 1983.[64] Zhang Z K, Liu C. Identifying the role of social tags and its application in recommender systems. Int. J. Complex Systems in Science, 2011, 1(1): 10-15.[65] Liang H, Xu Y, Li Y et al. Connecting users and items with weighted tags for personalized item recommendations. In Proc. 21st ACM Conf. Hypertext and Hypermedia (HT2010), Toronto, Ontario, Canada, Jun. 13-16, 2010, pp.51-60.[66] Szomszor M, Cattuto C, Alani H et al. Folksonomies, the semantic web, and movie recommendation. In Proc. the 4th Euro. Semantic Web Conf., Innsbruck, Australia, Jun. 3-7, 2007, pp.71-84.[67] Tso-Sutter K H L, Marinho L B, Schmidt-Thieme L. Tagaware recommender systems by fusion of collaborative filtering algorithms. In Proc. the 2008 ACM Symposium on Applied Computing, Fortaleza, Ceará, Brazil, Mar. 16-20, 2008, pp.1995-1999.[68] Kolda T G, Bader B W. Tensor decompositions and applications. SIAM Rev., 2009, 51(3): 455-500.[69] Xu Y, Zhang L, Liu W. Cubic analysis of social bookmarking for personalized recommendation. Frontiers of WWW Research and Development-APWeb 2006, Beijing, China, Apr. 21-25, 2006, pp.733-738.[70] Symeonidis P. User recommendations based on tensor dimensionality reduction. Artificial Intelligence Applications and Innovations III, 2009, pp.331-340.[71] Kantor P B, Ricci F, Rokach L, Shapira B. Recommender Systems Handbook. Springer, 2010.[72] Wall M, Rechtsteiner A, Rocha L. Singular value decomposition and principal component analysis. A Practical Approach to Microarray Data Analysis, 2003, pp.91-109.[73] De Lathauwer L, De Moor B, Vandewalle J. A multilinear singular value decomposition. SIAM J. Matrix Anal. Appl., 2000, 21(4): 1253-1278.[74] Shawe-Taylor J, Cristianini N. Kernel Methods for Pattern Analysis. Cambridge Univ. Press, 2004.[75] Chin T J, Schindler K, Suter D. Incremental kernel SVD for face recognition with image sets. In Proc. Int. Conf. Automatic Face Gesture Recognition (FGR), Southampton, UK, Apr. 10-12, 2006, pp.461-466.[76] Rendle S, Schmidt-Thieme L. Pairwise interaction tensor factorization for personalized tag recommendation. In Proc. 3rd ACM Int. Conf. Web Search Data Mining, New York, USA, Feb. 4-6, 2010, pp.81-90.[77] Rendle S, Freudenthaler C, Gantner Z, Schmidt-Thieme L. BPR: Bayesian personalized ranking from implicit feedback. In Proc. 25th Conf. Uncertainty Arti. Intel., Montreal, Canada, Jun. 18-21, 2009, pp.452-461.[78] Deerwester S, Dumais S T, Furnas G W, Landauer T K, Harshman R. Indexing by latent semantic analysis. J. Am. Soc. Info. Sci., 1990, 41(6): 391-407.[79] Hofmann T. Probabilistic latent semantic indexing. In Proc. 22nd Ann. Int. ACM SIGIR Conf. Research and Development Information Retrieval, Berkeley, California, USA, Aug. 15-19, 1999, pp.50-57.[80] Blei D M, Ng A Y, Jordan M I. Latent dirichlet allocation. J. Mach. Learn. Res., 2003, 3: 993-1022.[81] Gelfand A E, Smith A F M. Sampling-based approaches to calculating marginal densities. J. Am. Stat. Assoc., 1990, 85(410): 398-409.[82] Dempster A P, Laird N M, Rubin D B. Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. B, 1977, 39(1): 1-38.[83] Umbrath A S, Wetzker R, Umbrath W, Hennig L. A hybrid PLSA approach for warmer cold start in folksonomy recommendation. In proc. ACM Recsys 2009 Workshop on Recommender Systems & the Social Web, New York, USA, Oct. 25, 2009, pp.87-90.[84] Si X, Sun M. Tag-LDA for scalable real-time tag recommendation. J. Comput. Infor. Syst., 2009, 6(1): 23-31.[85] Krestel R, Fankhauser P, Nejdl W. Latent dirichlet allocation for tag recommendation. In Proc. 3rd ACM Conf. Recomm. Syst., New York, USA, Oct. 23-25, 2009, pp.61-68.[86] Krestel R, Fankhauser P. Tag recommendation using probabilistic topic models. In Proc. ECML PKDD Discovery Challenge 2009 (DC09), Bled, Slovenia, Sept. 7-11, 2009, p.131.[87] Bundschus M, Yu S, Tresp V et al. Hierarchical bayesian models for collaborative tagging systems. In Proc. the 9th IEEE International Conference on Data Mining, Miami, USA, 2009, Dec. 6-9, 2009, pp.728-733.[88] Bundschus M, Tresp V, Kriegel H P. Topic models for semantically annotated document collections. In Proc. NIPS Workshop: Applications for Topic Models: Text and Beyond, Whistler, Canada, Dec. 11, 2009, pp.1-4.[89] Harvey M, Baillie M, Ruthven I, Carman M. Tripartite hidden topic models for personalised tag suggestion. In Proc. 32nd European Conf. IR Research, Milton Keynes, UK, Mar. 28- 31, 2010, pp.432-443.[90] Li D, He B, Ding Y et al. Community-based topic modeling for social tagging. In Proc. 9th ACM Int. Conf. Infor. Knowl. Manag. (CIKM2010), Toronto, Canada, Oct. 26-30, 2010, pp.54-63.[91] Girvan M, Newman M E J. Community structure in social and biological networks. Proc. Natl. Acad. Sci. U.S.A., 2002, 99(12): 7821-7826.[92] Leskovec J, Lang K J, Mahoney M. Empirical comparison of algorithms for network community detection. In Proc. 19th Int. Conf. WWW, Raleigh, USA, Apr. 26-30, 2010, pp.631- 640.[93] Wang J W, Rong L L, Deng Q H, Zhang J Y. Evolving hypernetwork mode. Eur. Phys. J. B, 2010, 77(4): 493-498.[94] Lambiotte R, Ausllos M. Collaborative tagging as a tripartite network. Lect. Notes Comput. Sci., 2006, 3993: 1114-1117.[95] Cattuto C, Schmitz C, Baldassarri A, Servedio V D P, Loreto V, Hotho A, Grahl M, Stumme G. Network properties of folksonomies. AI Commun., 2007, 4: 245-262.[96] Hotho A, JÄaschke R, Schmitz C, Stumme G. Trend detection in folksonomies. Semantic Multimedia, 2006, 4306: 56-70.[97] Peng J, Zeng D D, Zhao H, Wang F. Collaborative filtering in social tagging systems based on joint item-tag recommendations. In Proc. 9th ACM Int. Conf. Infor. Knowl. Manag., Toronto, Canada, Oct. 26-30,2010, pp.809-818.[98] Gemmell J, Shepitsen A, Mobasher B, Burke R. Personalized recommendation in social tagging systems using hierarchical clustering. Intelligent Techniques for Web Personalization & Recommender Systems, Lausanne, Switzerland, Oct. 23-25, 2008, pp.259-266.[99] Ramage D, Heymann P, Manning C D, Garcia-Molina H. Clustering the tagged web. In Proc. 2nd ACM Int. Conf. Web Search and Data Mining, Barcelona, Spain, Feb. 9-12, 2009, pp.54-63.[100] Koutrika G, Effendi F A, GyÄongyi Z, Heymann P, Hector G M. Combating spam in tagging systems: An evaluation. ACM Trans. Web, 2008, 2(4): 22-57.[101] Pittel B. On spreading a rumor. SIAM J. Appl. Math., 1987, 47(1): 213-223.[102] Karp R, Schindelhauer C, Shenker S, Vocking B. Randomized rumor spreading. In Proc. 41st IEEE FOCS, Redondo Beach, USA, Nov. 12-14, 2000, pp.565-574.[103] Kontostathis A, Galitsky L, Pottenger W M, Roy S, Phelps D J. A survey of emerging trend detection in textual data mining. Survey of Text Mining: Clustering, Classification, and Retrieval, 2003, Springer.[104] Medhi D, Tipper D. Multi-layered network survivability— models, analysis, architecture, framework and implementation: An overview. In Proc. 2000 DARPA Information Survivability Conference & Exposition, Hilton Head, USA, Jan. 25-27, 2000, pp.173-186.[105] Scott J. Social network analysis. ACM Trans. Web, 1988, 2(1): 109-127.[106] Medo M, Zhang Y C, Zhou T. Adaptive model for recommendation of news. EPL, 2009, 88: 38005.[107] Huang J, Cheng X Q, Guo J, Shen H W, Yang K. Social recommendation with interpersonal influence. In Proc. 2010 Conf. ECAI 2010: 19th Euro. Conf. on Artif. Int., Lisbon, Portugal, Aug. 16-20, 2010, pp.601-606.[108] Cimini G, Medo M, Zhou T, Wei D, Zhang Y C. Heterogeneity, quality, and reputation in an adaptive recommendation model. Eur. Phys. J. B, 2011, 80(2): 201-208.[109] Heymann P, Ramage D, Garcia-Molina H. Social tag prediction. In Proc. 31st Annual Int. ACM SIGIR Conf. Research Development Information Retrieval, Singapore, Jul. 20-24, 2008, pp.531-538.[110] LÄu L, Zhou T. Link prediction in complex networks: A survey. Physica A, 2011, 390(6): 1150-1170.[111] Dubinko M, Kumar R, Magnani J, Novak J, Raghavan P, Tomkins A. Visualizing tags over time. ACM Trans. Web, 2007, 1(2): 7.[112] Liu C, Yueng Y H, Zhang Z K. Self-organization in social tagging systems. Phys. Rev. E, 2011, 83: 066104.[113] Barabási A L. The origin of bursts and heavy tails in human dynamics. Nature, 2005, 435(7039): 207-211.[114] Gantner Z, Rendle S, Schmidt-Thieme L. Factorization models for context-/time-aware movie recommendations. In Proc. Workshop on Context-Aware Movie Recommendation, Barcelona, Spain, Sept. 30, 2010, pp.14-19.[115] Xiang L, Yuan Q, Zhao S, Chen L, Zhang X, Yang Q, Sun J. Temporal recommendation on graphs via long-and shortterm preference fusion. In Proc. the 16th ACM SIGKDD Int. Conf. Knowl. Disc. Data Min., Washington, USA, 2010, pp.723-732. |