{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T23:35:09Z","timestamp":1776814509126,"version":"3.51.2"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2017,8,24]],"date-time":"2017-08-24T00:00:00Z","timestamp":1503532800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Australian Research Council (ARC) Discovery Project","award":["DP140102206"],"award-info":[{"award-number":["DP140102206"]}]},{"name":"Australian Research Council (ARC) Discovery Project","award":["DP140100545"],"award-info":[{"award-number":["DP140100545"]}]},{"name":"Australian Research Council (ARC) Linkage Project","award":["LP150100671"],"award-info":[{"award-number":["LP150100671"]}]},{"name":"Australian Research Council (ARC) Linkage Project","award":["LP160100630"],"award-info":[{"award-number":["LP160100630"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["World Wide Web"],"published-print":{"date-parts":[[2018,7]]},"DOI":"10.1007\/s11280-017-0486-5","type":"journal-article","created":{"date-parts":[[2017,8,24]],"date-time":"2017-08-24T04:22:53Z","timestamp":1503548573000},"page":"849-874","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Dual influence embedded social recommendation"],"prefix":"10.1007","volume":"21","author":[{"given":"Qinzhe","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jia","family":"Wu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guodong","family":"Long","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengqi","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,8,24]]},"reference":[{"key":"486_CR1","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1287\/orsc.12.2.215.10117","volume":"12","author":"PS Adler","year":"2001","unstructured":"Adler, P.S.: Market, hierarchy, and trust: The knowledge economy and the future of capitalism. Organ. Sci. 12, 215\u2013234 (2001)","journal-title":"Organ. Sci."},{"key":"486_CR2","doi-asserted-by":"publisher","first-page":"359","DOI":"10.1007\/s13278-012-0083-7","volume":"3","author":"V Agarwal","year":"2013","unstructured":"Agarwal, V., Bharadwaj, K.: A collaborative filtering framework for friends recommendation in social networks based on interaction intensity and adaptive user similarity. Soc. Netw. Anal. Min. 3, 359\u2013379 (2013)","journal-title":"Soc. Netw. Anal. Min."},{"key":"486_CR3","unstructured":"Arndt, J.: Word of mouth advertising: a review of the literature advertising research foundation (1967)"},{"key":"486_CR4","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1145\/1935826.1935845","volume-title":"Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM)","author":"E Bakshy","year":"2011","unstructured":"Bakshy, E., Hofman, J.M., Mason, W.A., Watts, D.J.: Everyone\u2019s an influencer: Quantifying influence on twitter. In: Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), pp 65\u201374 (2011)"},{"key":"486_CR5","doi-asserted-by":"publisher","first-page":"555","DOI":"10.1007\/s10115-013-0646-6","volume":"37","author":"N Barbieri","year":"2013","unstructured":"Barbieri, N., Bonchi, F., Manco, G.: Topic-aware social influence propagation models. Knowl. Inf. Syst. 37, 555\u2013584 (2013)","journal-title":"Knowl. Inf. Syst."},{"key":"486_CR6","unstructured":"Barnett, E., Casper, M.: A definition of social environment. Am. J. Public Health (2001)"},{"key":"486_CR7","doi-asserted-by":"publisher","first-page":"4290","DOI":"10.1016\/j.ins.2010.07.024","volume":"180","author":"AB Barrag\u00e1ns-Mart\u00ednez","year":"2010","unstructured":"Barrag\u00e1ns-Mart\u00ednez, A.B., Costa-Montenegro, E., Burguillo, J.C., Rey-L\u00f3pez, M., Mikic-Fonte, F.A., Peleteiro, A.: A hybrid content-based and item-based collaborative filtering approach to recommend tv programs enhanced with singular value decomposition. Inform. Sci. 180, 4290\u20134311 (2010)","journal-title":"Inform. Sci."},{"key":"486_CR8","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1007\/s10550-006-0080-3","volume":"24","author":"P Bonhard","year":"2006","unstructured":"Bonhard, P., Sasse, M.A.: Knowing me, knowing you - using profiles and social networking to improve recommender systems. BT Technol. J. 24, 84\u201398 (2006)","journal-title":"BT Technol. J."},{"key":"486_CR9","unstructured":"Breese, J.S., Heckerman, D., Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (UAI), pp 43\u201352. Morgan Kaufmann (1998)"},{"key":"486_CR10","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/SECPRI.2002.1004361","volume-title":"Proceedings of the 2002 IEEE Symposium on Security and Privacy","author":"J Canny","year":"2002","unstructured":"Canny, J.: Collaborative filtering with privacy. In: Proceedings of the 2002 IEEE Symposium on Security and Privacy, pp 45\u201357 (2002)"},{"key":"486_CR11","first-page":"199","volume-title":"Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR)","author":"W Chen","year":"2009","unstructured":"Chen, W., Wang, Y., Yang, S.: Efficient influence maximization in social networks. In: Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR), pp 199\u2013208 (2009)"},{"key":"486_CR12","first-page":"1029","volume-title":"Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR)","author":"W Chen","year":"2010","unstructured":"Chen, W., Wang, C., Wang, Y.: Scalable influence maximization for prevalent viral marketing in large-scale social networks. In: Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR), pp 1029\u20131038 (2010)"},{"key":"486_CR13","first-page":"88","volume-title":"Proceedings of the IEEE International Conference on Data Mining (ICDM)","author":"W Chen","year":"2010","unstructured":"Chen, W., Yuan, Y., Zhang, L.: Scalable influence maximization in social networks under the linear threshold model. In: Proceedings of the IEEE International Conference on Data Mining (ICDM), pp 88\u201397 (2010)"},{"key":"486_CR14","first-page":"997","volume-title":"Proceedings of the ACM International Conference on World Wide Web (WWW), vol. 18","author":"V Formoso","year":"2015","unstructured":"Formoso, V., Fern\u00e1ndez, D., Cacheda, F., Carneiro, V.: Distributed architecture for k-nearest neighbors recommender systems. In: Proceedings of the ACM International Conference on World Wide Web (WWW), vol. 18, pp 997\u20131017 (2015)"},{"key":"486_CR15","doi-asserted-by":"publisher","first-page":"863","DOI":"10.1109\/ICDM.2006.18","volume-title":"Proceedings of the IEEE International Conference on Data Mining (ICDM)","author":"F Fouss","year":"2006","unstructured":"Fouss, F., Yen, L., Pirotte, A., Saerens, M.: An experimental investigation of graph kernels on a collaborative recommendation task. In: Proceedings of the IEEE International Conference on Data Mining (ICDM), pp 863\u2013868 (2006)"},{"key":"486_CR16","doi-asserted-by":"crossref","unstructured":"Gan, M.: Taffy: Incorporating tag information into a diffusion process for personalized recommendations. World Wide Web, 1\u201323 (2015)","DOI":"10.1007\/s11280-015-0368-7"},{"key":"486_CR17","first-page":"199","volume-title":"Proceedings of the ACM International Conference on Information & Knowledge Management (CIKM)","author":"J Guo","year":"2013","unstructured":"Guo, J., Zhang, P., Zhou, C., Cao, Y., Guo, L.: Personalized influence maximization on social networks. In: Proceedings of the ACM International Conference on Information & Knowledge Management (CIKM), pp 199\u2013208 (2013)"},{"key":"486_CR18","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1145\/1639714.1639725","volume-title":"Proceedings of the ACM International Conference on Recommender systems (RECSYS)","author":"I Guy","year":"2009","unstructured":"Guy, I., Zwerdling, N., Carmel, D., Ronen, I., Uziel, E., Yogev, S., Ofek-Koifman, S.: Personalized recommendation of social software items based on social relations. In: Proceedings of the ACM International Conference on Recommender systems (RECSYS), pp 53\u201360 (2009)"},{"key":"486_CR19","first-page":"230","volume-title":"Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR)","author":"JL Herlocker","year":"1999","unstructured":"Herlocker, J.L., Konstan, J.A., Borchers, A., Riedl, J.: An algorithmic framework for performing collaborative filtering. In: Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR), pp 230\u2013237 (1999)"},{"key":"486_CR20","volume-title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI)","author":"GN Hu","year":"2015","unstructured":"Hu, G.N., Dai, X.Y., Song, Y., Huang, S.J., Chen, J.J.: A Synthetic Approach for Recommendation: Combining Ratings, Social Relations, and Reviews. In: Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI) (2015)"},{"key":"486_CR21","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 ACM International conference on Recommender Systems (RECSYS), pp 135\u2013142. ACM (2010)","DOI":"10.1145\/1864708.1864736"},{"key":"486_CR22","doi-asserted-by":"publisher","first-page":"137","DOI":"10.1145\/956750.956769","volume-title":"Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD)","author":"D Kemp","year":"2003","unstructured":"Kemp, D., Kleinber, J., Tardos, E.: Maximizing the spread of influence in a social network. In: Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp 137\u2013146 (2003)"},{"key":"486_CR23","doi-asserted-by":"publisher","first-page":"1127","DOI":"10.1007\/11523468_91","volume-title":"Proceedings of the International Colloquium on Automata, Languages, and Programming (ICALP)","author":"D Kempe","year":"2005","unstructured":"Kempe, D., Kleinberg, J., Tardos, \u00c9.: Influential nodes in a diffusion model for social networks. In: Proceedings of the International Colloquium on Automata, Languages, and Programming (ICALP), pp 1127\u20131138 (2005)"},{"key":"486_CR24","first-page":"259","volume-title":"Proceedings of the European Conference on Principles of Data Mining and Knowledge Discovery (PKDD)","author":"M Kimura","year":"2006","unstructured":"Kimura, M., Saito, K.: Tractable models for information diffusion in social networks. In: Proceedings of the European Conference on Principles of Data Mining and Knowledge Discovery (PKDD), pp 259\u2013271 (2006)"},{"key":"486_CR25","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1145\/1401890.1401944","volume-title":"Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD)","author":"Y Koren","year":"2008","unstructured":"Koren, Y.: Factorization meets the neighborhood: a multifaceted collaborative filtering model. In: Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp 426\u2013434 (2008)"},{"key":"486_CR26","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1109\/MC.2009.263","volume":"42","author":"Y Koren","year":"2009","unstructured":"Koren, Y., Bell, R., Volinsky, C., et al.: Matrix factorization techniques for recommender systems. Computer 42, 30\u201337 (2009)","journal-title":"Computer"},{"key":"486_CR27","doi-asserted-by":"publisher","first-page":"76","DOI":"10.1109\/MIC.2003.1167344","volume":"7","author":"G Linden","year":"2003","unstructured":"Linden, G., Smith, B., York, J.: Amazon. com recommendations: Item-to-item collaborative filtering. IEEE Internet Computing 7, 76\u201380 (2003)","journal-title":"IEEE Internet Computing"},{"key":"486_CR28","doi-asserted-by":"publisher","first-page":"4772","DOI":"10.1016\/j.eswa.2009.12.061","volume":"37","author":"F Liu","year":"2010","unstructured":"Liu, F., Lee, H.J.: Use of social network information to enhance collaborative filtering performance. Expert Syst. Appl. 37, 4772\u20134778 (2010)","journal-title":"Expert Syst. Appl."},{"key":"486_CR29","doi-asserted-by":"crossref","unstructured":"Liu, Y., Zhao, P., Liu, X., Wu, M., Li, X.L.: Learning optimal social dependency for recommendation. Inf. Retr. J (2016)","DOI":"10.24963\/ijcai.2017\/331"},{"key":"486_CR30","doi-asserted-by":"crossref","first-page":"691","DOI":"10.1145\/1772690.1772761","volume-title":"Proceedings of the ACM International Conference on World Wide Web (WWW)","author":"Y Lu","year":"2010","unstructured":"Lu, Y., Tsaparas, P., Ntoulas, A., Polanyi, L.: Exploiting social context for review quality prediction. In: Proceedings of the ACM International Conference on World Wide Web (WWW), pp 691\u2013700 (2010)"},{"key":"486_CR31","first-page":"73","volume-title":"Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR)","author":"H Ma","year":"2013","unstructured":"Ma, H.: An experimental study on implicit social recommendation. In: Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR), pp 73\u201382 (2013)"},{"key":"486_CR32","volume-title":"Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM)","author":"H Ma","year":"2011","unstructured":"Ma, H., Zhou, D., Liu, C., Lyu, M.R., King, I.: Recommender systems with social regularization. In: Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM) (2011)"},{"key":"486_CR33","doi-asserted-by":"crossref","unstructured":"McPherson, M., Smith-Lovin, L., Cook, J.M.: Birds of a feather: Homophily in social networks. Annu. Rev. Sociol., 415\u2013444 (2001)","DOI":"10.1146\/annurev.soc.27.1.415"},{"key":"486_CR34","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1145\/1367497.1367512","volume-title":"Proceedings of the ACM International Conference on World Wide Web (WWW)","author":"Q Mei","year":"2008","unstructured":"Mei, Q., Cai, D., Zhang, D., Zhai, C.: Topic modeling with network regularization. In: Proceedings of the ACM International Conference on World Wide Web (WWW), pp 101\u2013110 (2008)"},{"key":"486_CR35","doi-asserted-by":"publisher","first-page":"195","DOI":"10.1145\/336597.336662","volume-title":"Proceedings of the ACM International Conference on Digital Libraries (DL), ACM","author":"RJ Mooney","year":"2000","unstructured":"Mooney, R.J., Roy, L.: Content-based book recommending using learning for text categorization. In: Proceedings of the ACM International Conference on Digital Libraries (DL), ACM, pp 195\u2013204 (2000)"},{"key":"486_CR36","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1007\/BF01588971","volume":"14","author":"GL Nemhauser","year":"1978","unstructured":"Nemhauser, G.L., Wolsey, L.A., Fisher, M.L.: An analysis of approximations for maximizing submodular set functions. Math. Program. 14, 265\u2013294 (1978)","journal-title":"Math. Program."},{"key":"486_CR37","doi-asserted-by":"publisher","first-page":"176","DOI":"10.1002\/prot.20735","volume":"61","author":"Z Obradovic","year":"2005","unstructured":"Obradovic, Z., Peng, K., Vucetic, S., Radivojac, P., Dunker, A.K.: Exploiting heterogeneous sequence properties improves prediction of protein disorder. Proteins: Struct., Funct., Bioinf. 61, 176\u2013182 (2005)","journal-title":"Proteins: Struct., Funct., Bioinf."},{"key":"486_CR38","doi-asserted-by":"publisher","first-page":"854","DOI":"10.1126\/science.1121066","volume":"311","author":"MJ Salganik","year":"2006","unstructured":"Salganik, M.J., Dodds, P.S., Watts, D.J.: Experimental study of inequality and unpredictability in an artificial cultural market. Science 311, 854\u2013856 (2006)","journal-title":"Science"},{"key":"486_CR39","doi-asserted-by":"crossref","unstructured":"Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Application of Dimensionality Reduction in Recommender System-A Case Study. Technical report, DTIC Document (2000)","DOI":"10.21236\/ADA439541"},{"key":"486_CR40","doi-asserted-by":"publisher","first-page":"285","DOI":"10.1145\/371920.372071","volume-title":"Proceedings of the ACM International Conference on World Wide Web (WWW)","author":"B Sarwar","year":"2001","unstructured":"Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the ACM International Conference on World Wide Web (WWW), pp 285\u2013295 (2001)"},{"key":"486_CR41","unstructured":"Shapira, B., Ricci, F., Kantor, P.B. (eds.). L.R.: Recommender systems handbook (2011)"},{"key":"486_CR42","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1145\/1367497.1367542","volume-title":"Proceedings of the ACM International Conference on World Wide Web (WWW)","author":"B Sigurbj\u00f6rnsson","year":"2008","unstructured":"Sigurbj\u00f6rnsson, B., Van Zwol, R.: Flickr tag recommendation based on collective knowledge. In: Proceedings of the ACM International Conference on World Wide Web (WWW), pp 327\u2013336 (2008)"},{"key":"486_CR43","doi-asserted-by":"publisher","first-page":"364","DOI":"10.1037\/0003-066X.50.5.364","volume":"50","author":"P Slovic","year":"1995","unstructured":"Slovic, P.: The construction of preference. Am. Psychol. 50, 364 (1995)","journal-title":"Am. Psychol."},{"key":"486_CR44","first-page":"264","volume-title":"Proceedings of the ACM International Joint Conference on Artificial Intelligence (IJCAI)","author":"J Tang","year":"2013","unstructured":"Tang, J., Hu, X., Gao, H., Liu, H.: Exploiting local and global social context for recommendation. In: Proceedings of the ACM International Joint Conference on Artificial Intelligence (IJCAI), pp 264\u2013269 (2013)"},{"key":"486_CR45","first-page":"1039","volume-title":"Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR)","author":"Y Wang","year":"2010","unstructured":"Wang, Y., Cong, G., Song, G., Xie, K.: Community-based greedy algorithm for mining top-k influential nodes in mobile social networks. In: Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR), pp 1039\u20131048 (2010)"},{"key":"486_CR46","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1145\/1718487.1718520","volume-title":"Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM)","author":"J Weng","year":"2010","unstructured":"Weng, J., Lim, E.P., Jiang, J., He, Q.: Twitterrank: finding topic-sensitive influential twitterers. In: Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM), pp 261\u2013270 (2010)"},{"key":"486_CR47","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1109\/TCYB.2014.2327111","volume":"45","author":"J Wu","year":"2015","unstructured":"Wu, J., Pan, S., Zhu, X., Cai, Z.: Boosting for multi-graph classification. IEEE Trans. Cybern. 45, 416\u2013429 (2015)","journal-title":"IEEE Trans. Cybern."},{"key":"486_CR48","doi-asserted-by":"publisher","first-page":"358","DOI":"10.1016\/j.patcog.2015.08.023","volume":"51","author":"J Wu","year":"2016","unstructured":"Wu, J., Pan, S., Zhu, X., Zhang, P., Zhang, C.: Sode: Self-adaptive one-dependence estimators for classification. Pattern Recogn. 51, 358\u2013377 (2016)","journal-title":"Pattern Recogn."},{"key":"486_CR49","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1109\/TCYB.2016.2527239","volume":"47","author":"J Wu","year":"2017","unstructured":"Wu, J., Pan, S., Zhu, X., Zhang, C., Wu, X.: Positive and unlabeled multi-graph learning. IEEE Trans. Cybern. 47, 818\u2013829 (2017)","journal-title":"IEEE Trans. Cybern."},{"key":"486_CR50","first-page":"1","volume":"PP","author":"J Wu","year":"2017","unstructured":"Wu, J., Pan, S., Zhu, X., Zhang, C., Yu, P.S.: Multiple structure-view learning for graph classification. IEEE Trans. Neural Netw. Learn. Syst. PP, 1\u201315 (2017)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"486_CR51","first-page":"1247","volume-title":"Proceedings of the ACM International Conference on Information & Knowledge Management (CIKM)","author":"X Xin","year":"2009","unstructured":"Xin, X., King, I., Deng, H., Lyu, M.R.: A social recommendation framework based on multi-scale continuous conditional random fields. In: Proceedings of the ACM International Conference on Information & Knowledge Management (CIKM), pp 1247\u20131256 (2009)"},{"key":"486_CR52","doi-asserted-by":"publisher","first-page":"1351","DOI":"10.1007\/s11280-014-0307-z","volume":"18","author":"W Yao","year":"2015","unstructured":"Yao, W., He, J., Huang, G., Cao, J., Zhang, Y.: A graph-based model for context-aware recommendation using implicit feedback data. World Wide Web 18, 1351\u20131371 (2015)","journal-title":"World Wide Web"},{"key":"486_CR53","first-page":"47","volume-title":"Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR)","author":"Y Zhang","year":"2007","unstructured":"Zhang, Y., Koren, J.: Efficient bayesian hierarchical user modeling for recommendation system. In: Proceedings of the ACM International Conference on Research and Development in Information Retrieval (SIGIR), pp 47\u201354 (2007)"},{"key":"486_CR54","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/0012-365X(84)90028-1","volume":"51","author":"D Zeilberger","year":"1984","unstructured":"Zeilberger, D.: Garsia and Milne\u2019s bijective proof of the inclusion-exclusion principle. Discret. Math. 51, 109\u2013110 (1984)","journal-title":"Discret. Math."},{"key":"486_CR55","doi-asserted-by":"publisher","first-page":"4511","DOI":"10.1073\/pnas.1000488107","volume":"107","author":"T Zhou","year":"2010","unstructured":"Zhou, T., Kuscsik, Z., Liu, J.G., Medo, M., Wakeling, J.R., Zhang, Y.C.: Solving the apparent diversity-accuracy dilemma of recommender systems. Natl. Acad. Sci. 107, 4511\u20134515 (2010)","journal-title":"Natl. Acad. Sci."}],"container-title":["World Wide Web"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11280-017-0486-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-017-0486-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-017-0486-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,1]],"date-time":"2022-08-01T18:09:33Z","timestamp":1659377373000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11280-017-0486-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,8,24]]},"references-count":55,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2018,7]]}},"alternative-id":["486"],"URL":"https:\/\/doi.org\/10.1007\/s11280-017-0486-5","relation":{},"ISSN":["1386-145X","1573-1413"],"issn-type":[{"value":"1386-145X","type":"print"},{"value":"1573-1413","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,8,24]]},"assertion":[{"value":"1 September 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 April 2017","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 July 2017","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 August 2017","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}