[1] Zhou Z,Liu M,Zhang F,et al.A data processing framework for IoT based online monitoring system[A].Proc of IEEE 17th International Conference on Computer Supported Cooperative Work in Design[C].Whistler:IEEE,2013.686-691.
[2] Chen W,Niu Z,Zhao X,et al.A hybrid recommendation algorithm adapted in e-learning environments[J].World Wide Web,2014,17(2):271-284.
[3] Crespo RG,Martínez OS,Lovelle JMC,et al.Recommendation system based on user interaction data applied to intelligent electronic books[J].Computers in Human Behavior,2011,27(4):1445-1449.
[4] Li L,Zheng L,Yang F,et al.Modeling and broadening temporal user interest in personalized news recommendation[J].Expert Systems with Applications,2014,41(7):3168-3177.
[5] Resnick P,Varian H R.Recommender systems[J].Communications of the ACM,1997,40(3):56-58.
[6] Rashid AM,Ling K,Tassone RD,et al.Motivating participation by displaying the value of contribution[A].Proc of the SIGCHI Conference on Human Factors in Computing Systems[C].Montreal:ACM,2006.955-958.
[7] Qiu T,Han TY,Zhong LX,et al.Redundant correlation effect on personalized recommendation[J].Computer Physics Communications,2014,185(2):489-494.
[8] 周军锋,汤显,郭景峰.一种优化的协同过滤推荐算法[J].计算机研究与发展,2004,41(10):1842-1847. Zhou Junfeng,Tang Xian,Guo Jingfeng.An optimized collaborative filtering recommendation algorithm[J].Journal of Computer Research and Development,2004,41(10):1842-1847.(in Chinese)
[9] Wu ML,Chang CH,Liu RZ.Integrating content-based filtering with collaborative filtering using co-clustering with augmented matrices[J].Expert Systems with Applications,2014,41(6):2754-2761.
[10] Loizou A,Dasmahapatra S.Recommender systems for the semantic web[A].Proc of Recommender Systems Workshop[C].Trento:ECAI,2006.1-5.
[11] Lika B,Kolomvatsos K,Hadjiefthymiades S.Facing the cold start problem in recommender systems[J].Expert Systems with Applications,2014,41(4):2065-2073.
[12] Sarigecili MI,Roy U,Rachuri S.Interpreting the semantics of GD&T specifications of a product for tolerance analysis[J].Computer-Aided Design,2014,47:72-84.
[13] Janowicz K,Raubal M,Kuhn W.The semantics of similarity in geographic information retrieval[J].Journal of Spatial Information Science,2014(2):29-57.
[14] Sabucedo L,Gago JMS,Iglesias MJF.A tensor-based approach for semantic recommenders in egovernment[J].Advanced Science Letters,2014,20(1):317-320.
[15] Chen LC,Kuo PJ,Liao IE.Ontology-based library recommender system using MapReduce[J].Cluster Computing,2015,18(1):113-121.
[16] Adomavicius G,Jannach D.Preface to the special issue on context-aware recommender systems[J].User Modeling and User-Adapted Interaction,2014,24(1):1-5.
[17] Hu B,Zhou Y.Content semantic similarity boosted collaborative Filtering[A].Proc of International Conference on Computational Intelligence and Security[C].Suzhou:IEEE,2008.7-11.
[18] Middleton SE,De Roure DC,Shadbolt NR.Capturing knowledge of user preferences:ontologies in recommender systems[A].Proc of the 1st International Conference on Knowledge Capture[C].New York:ACM,2001.100-107.
[19] 张波,向阳,黄震华.一种基于语义的决策服务协作自组织方法[J].控制与决策,2013,28(9):1414-1418. Zhang Bo,Xiang Yang,Huang Zhenhua.Semantic based self-organization method for decision-making service collaboration[J].Control and Decision,2013,28(9):1414-1418.(in Chinese)
[20] Kim H,Kim HJ.A framework for tag-aware recommender systems[J].Expert Systems with Applications,2014,41(8):4000-4009.
[21] Bouza A,Bernstein A.User preference similarity as classification-based model similarity[J].Semantic Web,2014,5(1):47-64.
[22] Liu L,Lecue F,Mehandjiev N.Semantic content-based recommendation of software services using context[J].ACM Transactions on the Web,2013,7(3):17.
[23] Janowicz K,Raubal M,Kuhn W.The semantics of similarity in geographic information retrieval[J].Journal of Spatial Information Science,2011,2(2):29-57.
[24] Mooney RJ,Roy L.Content-based book recommending using learning for text categorization[A].Proc of the Fifth ACM Conference on Digital Libraries[C].San Antonio:ACM,2000.195-204.
[25] Koren Y,Bell R,Volinsky C.Matrix factorization techniques for recommender systems[J].Computer,2009,42(8):30-37.
[26] Martínez L,Pérez L G,Barranco M.A multigranular linguistic content-based recommendation model[J].International Journal of Intelligent Systems,2007,22(5):419-434.
[27] Sun F,Shi Y,Wang W.Content-based recommendation system based on vague sets[A].Proc of International Conference on Intelligent Human-Machine Systems and Cybernetics[C].Nanjing:IEEE,2013.294-297.
[28] Khan M,Nair S.Survey of content based recommendation systems in a nutshell[J].International Journal of Advanced Research in Computer Science and Electronics Engineering,2014,3(1):24-30.
[29] Balabanovic ' M,Shoham Y.Fab:content-based,collaborative recommendation[J].Communications of the ACM,1997,40(3):66-72.
[30] Sandvig JJ,Mobasher B,Burke R.Robustness of collaborative recommendation based on association rule mining[A].Proc of ACM Conference on Recommender Systems.[C] Silicon Valley:ACM,2007.105-112.
[31] Adomavicius G,Tuzhilin A.Toward the next generation of recommender systems:A survey of the state-of-the-art and possible extensions[J].IEEE Transactions on Knowledge and Data Engineering,2005,17(6):734-749.
[32] Moscato V,Picariello A.Towards a user based recommendation strategy for digital ecosystems[J].Knowledge-Based Systems,2013,37(2):165-175.
[33] Huang Y,Gao X,Gu S.UARR:A novel similarity measure for collaborative filtering recommendation[J].Cybernetics and Information Technologies,2013,13(Special Issue):122-130.
[34] Choi K,Yoo D,Kim G,et al.A hybrid online-product recommendation system:Combining implicit rating-based collaborative filtering and sequential pattern analysis[J].Electronic Commerce Research and Applications,2012,11(4):309-317.
[35] Zheng VW,Zheng Y,Xie X,et al.Towards mobile intelligence:Learning from GPS history data for collaborative recommendation[J].Artificial Intelligence,2012,184-185(2):17-37.
[36] Liu Q,Chen E,Xiong H,et al.Enhancing collaborative filtering by user interest expansion via personalized ranking[J].IEEE Transactions on Systems,Man,and Cybernetics,Part B:Cybernetics,2012,42(1):218-233.
[37] Zheng Z,Ma H,Lyu MR,et al.QoS-aware web service recommendation by collaborative filtering[J].IEEE Transactions on Services Computing,2011,4(2):140-152.
[38] Zhang J,Peng Q,Sun S,et al.Collaborative filtering recommendation algorithm based on user preference derived from item domain features[J].Physica A Statistical Mechanics & Its Applications 2014,396(2):66-76.
[39] Li Y,Zhai CX,Chen Y.Exploiting rich user information for one-class collaborative filtering[J].Knowledge and Information Systems,2014,38(2):277-301.
[40] Liang T,Liang Y,Fan J,et al.A hybrid recommendation model based on estimation of distribution algorithms[J].Journal of Computational Information Systems,2014,10(2):781-788.
[41] Dai N,Qi X,Davison B D.Enhancing web search with entity intent[A].Proc of the 20th International Conference Companion on World Wide Web[C].Hyderabad:ACM,2011.29-30.
[42] Burgess J,Green J.YouTube:Online Video and Participatory Culture[M].New York:John Wiley & Sons,2013.
[43] Linden G,Smith B,York J.Amazon.com recommendations:Item-to-item collaborative filtering[J].IEEE Internet Computing,2003,7(1):76-80.
[44] Konstan JA,Miller BN,Maltz D,et al.GroupLens:applying collaborative filtering to usenet news[J].Communications of the ACM,1997,40(3):77-87.
[45] Miller BN,Albert I,Lam SK,et al.MovieLens unplugged:experiences with an occasionally connected recommender system[A].Proc of the 8th International Conference on Intelligent User Interfaces[C].Miami:ACM,2003.263-266.
[46] Bomhardt C.Newsrec,a svm-driven personal recommendation system for news websites[A].Proc of IEEE/WIC/ACM International Conference on Web Intelligence[C].Beijing:IEEE,2004.545-548.
[47] Sobecki J,Babiak E,et al.Application of hybrid recommendation in web-based cooking assistant[A].Proc of Knowledge-Based Intelligent Information and Engineering Systems[C].Bournemouth:Springer,2006.797-804.
[48] 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,2014,12(3):2028-2035.
[49] Victor C,Luigi C.Taking advantage of semantics in recommendation systems[A].Proc of International Conference of the Catalan Association for Artificial Intelligence[C].Tarragona:IOS Press,2010.163-172.
[50] Peng T,Wang W,Gong XY,et al.A graph indexing approach for content-Based recommendation system[A].Proc of International Conference on Multimedia and Information Technology[C].Hong Kong:IEEE,2010.93-97.
[51] Canhasi E,Kononenko I.Weighted archetypal analysis of the multi-element graph for query-focused multi-document summarization[J].Expert Systems with Applications,2014,41(2):535-543.
[52] Lops P,de Gemmis M,Semeraro G,et al.Content-based filtering with tags:The first system[A].Proc of International Conference on Intelligent Systems Design and Applications[C].Pisa:IEEE,2009.255-260.
[53] Preotiuc-Pietro D,Hristea F.Unsupervised word sense disambiguation with N-gram features[J].Artificial Intelligence Review,2014,41(2):241-260.
[54] Harispe S,Ranwez S,Janaqi S,et al.Semantic measures based on RDF projections:application to content-based recommendation systems[A].International Conference on the Move to Meaningful Internet Systems[C].Graz:Springer,2013.606-615.
[55] 贾哲,黄志球,王珊珊,等.支持本体推理的P3P隐私策略冲突检测研究[J].计算机科学与探索,2013,7(1):74-82. Jia Zhe,Huang Zhiqiu,Wang Shanshan,et al.Detecting P3P privacy conflicts based on ontology[J].Journal of Frontiers of Computer Science and Technology,2013,7(1):74-82.(in Chinese)
[56] Guo W,Kraines SB.Semantic Content-Based Recommendations Using Semantic Graphs[M].Berlin:Springer,2010.653-659.
[57] Fernández-Breis JT,Frutos-Morales F,Gil AE,et al.Recommendation of Personalized Learning Contents Supported by Semantic Web Technologies[M].Berlin:Springer,2013.540-545.
[58] Kuo FF,Shan MK,Lee SY.Background music recommendation for video based on multimodal latent semantic analysis[A].Proc of IEEE International Conference on Multimedia and Expo[C].California:IEEE,2013.1-6.
[59] Yoshida T,Irie G,Arai H,et al.Towards semantic and affective content-based video recommendation[A].Proc of IEEE International Conference on Multimedia and Expo Workshops[C].California:IEEE,2013.1-6.
[60] 刘敏华,萧德云.基于相似度的多传感器数据融合[J].控制与决策,2004,19(5):534-537. Liu Minhua,Xiao Deyun.Multi-sensor data fusion based on similitude degree[J].Control and Decision,2004,19(5):534-537.(in Chinese)
[61] Van Dijck J.Users like you? Theorizing agency in user-generated content[J].Media,Culture,and Society,2009,31(1):41.
[62] Fan M,Zhou Q,Zheng TF.Content-based semantic tag ranking for recommendation[A].Proc of the IEEE/WIC /ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology[C].Atlanta:IEEE,2012.292-296.
[63] Liang Y,Yan Z,Sun B,et al.Cardiovascular risk factor profiles for peripheral artery disease and carotid atherosclerosis among Chinese older people:a population-based study[J].PloS One,2014,9(1):136-148.
[64] Park J,Kim J,Lee J H.Keyword extraction for blogs based on content richness[J].Journal of Information Science,2014,40(1):38-49.
[65] Liu Z,Chen X,Sun M.A simple word trigger method for social tag suggestion[A].Proc of the Conference on Empirical Methods in Natural Language Processing.Association for Computational Linguistics[C].Bournemouth:Springer,2011.1577-1588.
[66] Sun H.The application of fuzzy set theory in modern information retrieval[J].Advances in Services Science and Services Information Technology (Set),2014,27(1):177-186.
[67] Hu B,Zhou Y.Content semantic similarity boosted collaborative filtering[A].Proc of International Conference on Computational Intelligence and Security[C].Guangzhou:IEEE,2008.7-11.
[68] Abdelwahab A,Sekiya H,Matsuba I,et al.An efficient collaborative filtering algorithm using SVD-free latent semantic indexing and particle swarm optimization[A].Proc of International Conference on Natural Language Processing and Knowledge Engineering[C].Dalian:IEEE,2009.1-4.
[69] Lemdani R,Bennacer N,Polaillon G,et al.A collaborative and semantic-based approach for recommender systems[A].Proc of International Conference on Intelligent Systems Design and Applications[C].Cairo:IEEE,2010.469-476.
[70] Ferrara F,Tasso C.Integrating semantic relatedness in a collaborative filtering system[A].Proc of Mensch & Computer Workshopband[C].Shanghai:IEEE,2012.75-82.
[71] Cantador I,Castells P,Bellogín A.An enhanced semantic layer for hybrid recommender systems[J].International Journal on Semantic Web & Information Systems,2011,7(1):44-78.
[72] Shambour Q,Lu J.A hybrid multi-criteria semantic-enhanced collaborative filtering approach for personalized recommendations[A].Proc of IEEE/WIC/ ACM International Conference on Web Intelligence and Intelligent Agent Technology[C].Warsaw:IEEE,2011.71-78.
[73] Herlocker J,Konstan J A,Riedl J.An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms[J].Information Retrieval,2002,5(4):287-310.
[74] Hang C,Meifang Z.Improve tagging recommender system based on tags semantic similarity[A].Proc of International Conference on Communication Software and Networks[C].Xi'an:IEEE,2011.94-98.
[75] Kim HN,Roczniak A,Lévy P,et al.Social media filtering based on collaborative tagging in semantic space[J].Multimedia Tools and Applications,2012,56(1):63-89.
[76] Hsu I.SXRS:an XLink-based recommender system using semantic web technologies[J].Expert Systems with Applications,2009,36(2):3795-3804.
[77] Hsu I,Ting D H,Hsueh N L.MDA-based visual modeling approach for resources link relationships using UML profile[J].Computer Standards & Interfaces,2014,36(3):648-656.
[78] Liu L,Lecue F,Mehandjiev N.A hybrid approach to recommending semantic software services[A].Proc of IEEE International Conference on Web Services[C].Washington:IEEE,2011.379-386.
[79] Deng Y,Wu Z,Tang C,et al.A hybrid movie recommender based on ontology and neural networks[A].Proc of IEEE/ACM Int' l Conference on Green Computing and Communications & Int'l Conference on Cyber,Physical and Social Computing[C].Hangzhou:IEEE,2010.846-851.
[80] Tatli I,Birturk A.A tag-based hybrid music recommendation system using semantic relations and multi-domain information[A].Proc of IEEE 11th International Conference on Data Mining Workshops[C].Vancouver:IEEE,2011.548-554.
[81] Bizer C,Lehmann J,Kobilarov G,et al.DBpedia-A crystallization point for the Web of data[J].Web Semantics:Science,Services and Agents on the World Wide Web,2009,7(3):154-165.
[82] Chen MH,Lin KCJ,Kung CC,et al.On the design of the semantic p2p system for music recommendation[A].Proc of International Symposium on Parallel and Distributed Processing with Applications[C].Taipei:IEEE,2010.442-448.
[83] Lee S,Chun A.Automatic tag recommendation for the web 2.0 blogosphere using collaborative tagging and hybrid ANN semantic structures[A].Proc of International Conference on Wseas International Conference on Applied Computer Science[C].Wisconsin:WSEAS,2007.88-93.
[84] Woolley A W,Chabris C F,Pentland A,et al.Evidence for a collective intelligence factor in the performance of human groups[J].Science,2010,330(6004):686-688.
[85] Golbeck J,Hendler J.Filmtrust:Movie recommendations using trust in web-based social networks[A].Proceedings of the IEEE Consumer Communications and Networking Conference[C].Las Vegas,NV:IEEE,2006.282-286.
[86] Cantador I,Castells P.Multilayered Semantic Social Network Modeling by Ontology-Based User Profiles Clustering:Application to Collaborative Filtering[M].Berlin:Springer,2006.334-349.
[87] Ghita S,Nejdl W,Paiu R.Semantically Rich Recommendations in Social Networks for Sharing,Exchanging and Ranking Semantic Context[M].Berlin:Springer,2005.293-307.
[88] Graves M,Constabaris A,Brickley D.Foaf:Connecting people on the semantic web[J].Cataloging & Classification Quarterly,2007,43(3-4):191-202.
[89] Martin-Vicente M I,Gil-Solla A,Ramos-Cabrer M,et al.Semantics-driven recommendation of coupons through digital TV:Exploiting synergies with social networks[A].Proc of IEEE International Conference on Consumer Electronics[C].Las Vegas:IEEE,2012.564-565.
[90] Squicciarini A C,Paci F,Sundareswaran S.PriMa:a comprehensive approach to privacy protection in social network sites[J].Annals of Telecommunications-Annales Des Télécommunications,2014,69(1-2):21-36.
[91] Li Q,Li J,Wang H,et al.Semantics-enhanced privacy recommendation for social networking sites[A].Proc of IEEE 10th International Conference on Trust,Security and Privacy in Computing and Communications[C].Liverpool:IEEE,2011.226-233.
[92] Schaffer C.Selecting a classification method by cross-validation[J].Machine Learning,1993,13(1):135-143.
[93] Zhang J,Peng Q,Sun S,et al.Collaborative filtering recommendation algorithm based on user preference derived from item domain features[J].Physica A:Statistical Mechanics and its Applications,2014:66-76.
[94] Li L,Zheng L,Yang F,et al.Modeling and broadening temporal user interest in personalized news recommendation[J].Expert Systems with Applications,2014,41(7):3168-3177.
[95] O?eary D E.Artificial intelligence and big data[J].IEEE Intelligent Systems,2013,28(2):0096-99.
[96] Leverich J,Kozyrakis C.On the energy (in) efficiency of hadoop clusters[J].ACM SIGOPS Operating Systems Review,2010,44(1):61-65.
[97] Liu Y,Emoto K,Matsuzaki K,et al.Accumulative Computation on MapReduce[J].IPSJ Online Transactions,2014,7(0):33-42.