乐胖代购免代理版

{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,9,6]],"date-time":"2023-09-06T09:08:23Z","timestamp":1693991303301},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,6,2]],"date-time":"2017-06-02T00:00:00Z","timestamp":1496361600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Social development project of Lianyungang City","award":["SH1507"]},{"name":"Top-notch Academic Programs Project of Jiangsu Higher Education Institution","award":["PPZY2015a038"]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Funds of China","doi-asserted-by":"crossref","award":["No. 61403156","No. 61403155"],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Prospective Joint Research of University-Industry Cooperation of Jiangsu","award":["BY2016056-02"]},{"DOI":"10.13039\/501100009159","name":"Lianyungang Science and Technology Project","doi-asserted-by":"crossref","award":["CK1503","CXY1530"],"id":[{"id":"10.13039\/501100009159","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100009159","name":"Lianyungang Science and Technology Project","doi-asserted-by":"crossref","award":["CG1611"],"id":[{"id":"10.13039\/501100009159","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Science and Technology Project of Jiangsu Province","award":["BN2016065"]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Cluster Comput"],"published-print":{"date-parts":[[2018,3]]},"DOI":"10.1007\/s10586-017-0962-9","type":"journal-article","created":{"date-parts":[[2017,6,2]],"date-time":"2017-06-02T06:02:02Z","timestamp":1496383322000},"page":"933-943","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Research of social recommendation based on social tag and trust relation"],"prefix":"10.1007","volume":"21","author":[{"given":"Hui","family":"Li","sequence":"first","affiliation":[]},{"given":"Shu","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Yun","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Shi","sequence":"additional","affiliation":[]},{"given":"Zhao-man","family":"Zhong","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,6,2]]},"reference":[{"key":"962_CR1","doi-asserted-by":"crossref","unstructured":"Ma, H., Zhou, D., Liu, C., Lyu, M.R., King, I.: Recommender system with social regularization. In: Proceedings of the 4th ACM International Conference on Web Search and Data Mining (WSDM), pp. 287\u2013296 (2011)","DOI":"10.1145\/1935826.1935877"},{"key":"962_CR2","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1016\/j.neucom.2014.07.011","volume":"148","author":"W Zhao","year":"2015","unstructured":"Zhao, W., Guan, Z., Liu, Z.: Ranking on heterogeneous manifolds for tag recommendation in social tagging services. Neurocomputing 148, 521\u2013534 (2015)","journal-title":"Neurocomputing"},{"issue":"3","key":"962_CR3","first-page":"532","volume":"31","author":"Y Li","year":"2016","unstructured":"Li, Y., Tian, Q., Gao, H.: Kernel discriminant learning for ordinal regression using label membership. J. Data Acquis. Process. 31(3), 532\u2013540 (2016)","journal-title":"J. Data Acquis. Process."},{"issue":"6","key":"962_CR4","first-page":"1246","volume":"30","author":"Y Qin","year":"2015","unstructured":"Qin, Y., Yu, Z., Wang, Y., et al.: Micro blog user label interest clustering method based on feature mapping. J. Data Acquis. Process. 30(6), 1246\u20131252 (2015)","journal-title":"J. Data Acquis. Process."},{"issue":"1","key":"962_CR5","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1002\/asi.23353","volume":"67","author":"EF Martins","year":"2016","unstructured":"Martins, E.F., Bel\u00e9m, F.M., Almeida, J.M., et al.: On cold start for associative tag recommendation. J. Assoc. Inf. Sci. Technol. 67(1), 83\u2013105 (2016)","journal-title":"J. Assoc. Inf. Sci. Technol."},{"key":"962_CR6","doi-asserted-by":"crossref","unstructured":"Rawat, Y.S., Kankanhalli, M.S.: ConTagNet: exploiting user context for image tag recommendation. In: ACM on Multimedia Conference, pp. 1102\u20131106. ACM, New York (2016)","DOI":"10.1145\/2964284.2984068"},{"key":"962_CR7","doi-asserted-by":"crossref","unstructured":"Heymann, P., Koutrika, G., Garcia-Molina, H.: Can social bookmarking improve web search. In: Proceedings of the International Conference on Web Search and Web Data Mining, pp. 195\u2013206. ACM, New York (2008)","DOI":"10.1145\/1341531.1341558"},{"issue":"1\/2","key":"962_CR8","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1504\/IJAHUC.2017.083481","volume":"25","author":"Z Xu","year":"2017","unstructured":"Xu, Z., Zhang, H., Hu, C., Liu, Y., Xuan, J., Mei, L.: Crowdsourcing-based timeline description of urban emergency events using social media. IJAHUC 25(1\/2), 41\u201351 (2017)","journal-title":"IJAHUC"},{"key":"962_CR9","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1016\/j.csi.2015.01.004","volume":"41","author":"S Puglisi","year":"2015","unstructured":"Puglisi, S., Parra-Arnau, J., Forn\u00e9, J., et al.: On content-based recommendation and user privacy in social-tagging systems. Comput. Stand. Interfaces 41, 17\u201327 (2015)","journal-title":"Comput. Stand. Interfaces"},{"issue":"2","key":"962_CR10","doi-asserted-by":"crossref","first-page":"457","DOI":"10.1016\/j.eswa.2013.07.071","volume":"41","author":"HH Gabriel","year":"2014","unstructured":"Gabriel, H.H., Spiliopoulou, M., Nanopoulos, A.: Summarizing dynamic social tagging systems. Exp. Syst. Appl. Int. J. 41(2), 457\u2013469 (2014)","journal-title":"Exp. Syst. Appl. Int. J."},{"key":"962_CR11","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.jnca.2014.04.002","volume":"43","author":"Z Xu","year":"2014","unstructured":"Xu, Z., Liu, Y., Mei, L., Hu, C., Chen, L.: Generating temporal semantic context of concepts using web search engines. J. Netw. Comput. Appl. 43, 42\u201355 (2014)","journal-title":"J. Netw. Comput. Appl."},{"key":"962_CR12","doi-asserted-by":"crossref","unstructured":"Ramage, D., Heymann, P., Manning, C.D., et al.: Clustering the tagged web. In: International Conference on Web Search and Web Data Mining, Barcelona, Spain, pp. 54\u201363 (2009)","DOI":"10.1145\/1498759.1498809"},{"issue":"5","key":"962_CR13","doi-asserted-by":"crossref","first-page":"1877","DOI":"10.1016\/j.phpro.2010.07.032","volume":"3","author":"P Wu","year":"2010","unstructured":"Wu, P., Zhang, Z.K.: Enhancing personalized recommendations on weighted social tagging networks. Phys. Procedia 3(5), 1877\u20131885 (2010)","journal-title":"Phys. Procedia"},{"key":"962_CR14","unstructured":"Kurucz, M., Benczur, A.: Methods for large scale SVD with missing values. In: Proceedings of the KDD Cup and Workshop, USA, pp. 31\u201341 (2007)"},{"key":"962_CR15","unstructured":"Salakhutdinov, R., Mnih, A.: Probabilistic matrix factorization. In: Proceedings of the 21st Annual Conference on Neural Information Processing Systems, pp. 1257\u20131264. Curran Associates Inc., New York (2008)"},{"issue":"6755","key":"962_CR16","doi-asserted-by":"crossref","first-page":"788","DOI":"10.1038\/44565","volume":"401","author":"DD Lee","year":"1999","unstructured":"Lee, D.D., Seung, H.S.: Learning the parts of objects by non-negative matrix factorization. Nature 401(6755), 788\u2013791 (1999)","journal-title":"Nature"},{"key":"962_CR17","doi-asserted-by":"crossref","unstructured":"Jamali, M., Ester, M.: A matrix factorization technique with trust propagation for recommendation in social networks. In: Proceedings of the Fourth ACM Conference on Recommender Systems, pp. 135\u2013142. ACM, New York (2010)","DOI":"10.1145\/1864708.1864736"},{"issue":"C","key":"962_CR18","first-page":"96","volume":"96","author":"F Zhang","year":"2016","unstructured":"Zhang, F., Gong, T., Lee, V.E., et al.: Fast algorithms to evaluate collaborative filtering recommender systems. Knowl. Based Syst. 96(C), 96\u2013103 (2016)","journal-title":"Knowl. Based Syst."},{"key":"962_CR19","doi-asserted-by":"crossref","unstructured":"Ad\u00e1n-Coello, J.M., Tobar, C.M.: Using collaborative filtering algorithms for predicting student performance. In: Electronic Government and the Information Systems Perspective. Springer, New York (2016)","DOI":"10.1007\/978-3-319-44159-7_15"},{"key":"962_CR20","doi-asserted-by":"crossref","unstructured":"Dou, Y., Yang, H., Deng, X.: A survey of collaborative filtering algorithms for social recommender systems. In: International Conference on Semantics, Knowledge and Grids, pp. 40\u201346. IEEE, New York (2017)","DOI":"10.1109\/SKG.2016.014"},{"issue":"11","key":"962_CR21","doi-asserted-by":"crossref","first-page":"2789","DOI":"10.1109\/TKDE.2014.2300487","volume":"26","author":"M Jiang","year":"2014","unstructured":"Jiang, M., Cui, P., Wang, F., et al.: Scalable recommendation with social contextual information. IEEE Trans. Knowl. Data Eng. 26(11), 2789\u20132802 (2014)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"962_CR22","doi-asserted-by":"crossref","unstructured":"Mylonas, P.: Types of contextual information in the social networks era. In: International Workshop on Semantic and Social Media Adaptation and Personalization, pp. 46\u201352 (2016)","DOI":"10.1109\/SMAP.2016.7753383"},{"issue":"1","key":"962_CR23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1140\/epjds\/s13688-016-0082-4","volume":"5","author":"H Chen","year":"2016","unstructured":"Chen, H., Rahwan, I., Cebrian, M.: Bandit strategies in social search: the case of the DARPA red balloon challenge. EPJ Data Sci. 5(1), 1\u201314 (2016)","journal-title":"EPJ Data Sci."},{"key":"962_CR24","doi-asserted-by":"crossref","unstructured":"Dimitrov, G.P., Panayotova, G., Garvanov, I., et al.: Performance analysis of the method for social search of information in university information systems. In: Third International Conference on Artificial Intelligence and Pattern Recognition, pp. 1\u20135 (2016)","DOI":"10.1109\/ICAIPR.2016.7585228"}],"container-title":["Cluster Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10586-017-0962-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-017-0962-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10586-017-0962-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T23:29:54Z","timestamp":1589758194000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10586-017-0962-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,6,2]]},"references-count":24,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018,3]]}},"alternative-id":["962"],"URL":"https:\/\/doi.org\/10.1007\/s10586-017-0962-9","relation":{},"ISSN":["1386-7857","1573-7543"],"issn-type":[{"value":"1386-7857","type":"print"},{"value":"1573-7543","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,6,2]]}}}