{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T22:21:30Z","timestamp":1772749290310,"version":"3.50.1"},"reference-count":23,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,11,18]],"date-time":"2019-11-18T00:00:00Z","timestamp":1574035200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,11,18]],"date-time":"2019-11-18T00:00:00Z","timestamp":1574035200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["91546201"],"award-info":[{"award-number":["91546201"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71331005"],"award-info":[{"award-number":["71331005"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["World Wide Web"],"published-print":{"date-parts":[[2020,5]]},"DOI":"10.1007\/s11280-019-00738-1","type":"journal-article","created":{"date-parts":[[2019,11,18]],"date-time":"2019-11-18T02:01:41Z","timestamp":1574042501000},"page":"1497-1517","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Recommender system for marketing optimization"],"prefix":"10.1007","volume":"23","author":[{"given":"Wei","family":"Deng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengxin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wikil","family":"Kwak","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huimin","family":"Tang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,18]]},"reference":[{"key":"738_CR1","unstructured":"Pennock, D. M., Horvitz, E., Lawrence, S., Giles, C. L.: Collaborative filtering by personality diagnosis: a hybrid memory- and model-based approach. Sixteenth Conference on Uncertainty in Artificial Intelligence, 473\u2013480, (2000)"},{"key":"738_CR2","doi-asserted-by":"crossref","unstructured":"Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Item-based collaborative filtering recommendation algorithms. International Conference on World Wide Web, 285\u2013295 (2001)","DOI":"10.1145\/371920.372071"},{"issue":"4","key":"738_CR3","doi-asserted-by":"publisher","first-page":"642","DOI":"10.1109\/TPDS.2012.192","volume":"24","author":"X Yang","year":"2013","unstructured":"Yang, X., Guo, Y., Liu, Y.: Bayesian-inference-based recommendation in online social networks. IEEE Trans. Parallel Distrib. Syst. 24(4), 642\u2013651 (2013)","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"1","key":"738_CR4","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1145\/963770.963774","volume":"22","author":"T Hofmann","year":"2004","unstructured":"Hofmann, T.: Latent semantic models for collaborative filtering. ACM Trans. Inf. Syst. 22(1), 89\u2013115 (2004)","journal-title":"ACM Trans. Inf. Syst."},{"key":"738_CR5","doi-asserted-by":"crossref","unstructured":"Hu, Y., Koren, Y., Volinsky, C.: Collaborative filtering for implicit feedback datasets. Eighth IEEE International Conference on Data Mining, 263\u2013272, (2009)","DOI":"10.1109\/ICDM.2008.22"},{"key":"738_CR6","doi-asserted-by":"crossref","unstructured":"Koren, Y.: Factorization meets the neighborhood: a multifaceted collaborative filtering model. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining: 426\u2013434 (2008)","DOI":"10.1145\/1401890.1401944"},{"key":"738_CR7","doi-asserted-by":"crossref","unstructured":"Nguyen, T. T., Hui, P. M., Harper, F. M., Terveen, L., Konstan, J. A.: Exploring the filter bubble: The effect of using recommender systems on content diversity. Proceedings of the 23rd international conference on World wide web (2014)","DOI":"10.1145\/2566486.2568012"},{"key":"738_CR8","doi-asserted-by":"crossref","unstructured":"Adamopoulos, P., Alexander, T.: On over-specialization and concentration bias of recommendations: Probabilistic neighborhood selection in collaborative filtering systems. Proceedings of the 8th ACM Conference on Recommender systems (2014)","DOI":"10.1145\/2645710.2645752"},{"issue":"1","key":"738_CR9","doi-asserted-by":"publisher","first-page":"175","DOI":"10.2307\/1936645","volume":"59","author":"JEP Iii","year":"1978","unstructured":"Iii, J.E.P., Wiener, J.G., Smith, M.H.: The Weibull distribution: a new method of summarizing survivorship data. Ecology. 59(1), 175\u2013179 (1978)","journal-title":"Ecology"},{"key":"738_CR10","doi-asserted-by":"crossref","unstructured":"Solow, D.: Linear and Nonlinear Programming. Wiley Encyclopedia of Computer Science and Engineering (2007)","DOI":"10.1002\/9780470050118.ecse219"},{"issue":"1","key":"738_CR11","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1007\/BF00938762","volume":"46","author":"DF Shanno","year":"1985","unstructured":"Shanno, D.F.: On broyden-fletcher-goldfarb-shanno method. J. Optim. Theory Appl. 46(1), 87\u201394 (1985)","journal-title":"J. Optim. Theory Appl."},{"key":"738_CR12","doi-asserted-by":"crossref","unstructured":"Bottou, L.: Large-scale machine learning with stochastic gradient descent: 177\u2013186, (2010)","DOI":"10.1007\/978-3-7908-2604-3_16"},{"issue":"1","key":"738_CR13","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1137\/030601880","volume":"16","author":"WW Hager","year":"2005","unstructured":"Hager, W.W., Zhang, and Hongchao: A new conjugate gradient method with guaranteed descent and an efficient line search. SIAM J. Optim. 16(1), 170\u2013192 (2005)","journal-title":"SIAM J. Optim."},{"key":"738_CR14","doi-asserted-by":"crossref","unstructured":"Celma, \u00d2., Herrera, P.: A new approach to evaluating novel recommendations. 13(8), 179\u2013186 (2008)","DOI":"10.1145\/1454008.1454038"},{"issue":"1","key":"738_CR15","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1145\/963770.963772","volume":"22","author":"JL Herlocker","year":"2004","unstructured":"Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.T.: Evaluating collaborative filtering recommender systems. ACM Trans. Inform. Syst. 22(1), 5\u201353 (2004)","journal-title":"ACM Trans. Inform. Syst."},{"key":"738_CR16","doi-asserted-by":"crossref","unstructured":"Fleder, D. M., Hosanagar, K.: Recommender systems and their impact on sales diversity. ACM Conference on Electronic Commerce: 192\u2013199 (2007)","DOI":"10.1145\/1250910.1250939"},{"key":"738_CR17","doi-asserted-by":"crossref","unstructured":"Zhang, L., Li, J., Li, A., Zhang, P., Nie, G., Shi, Y.: A new research field: intelligent knowledge management. International Conference on Business Intelligence and Financial Engineering, 450\u2013454, (2009)","DOI":"10.1109\/BIFE.2009.108"},{"key":"738_CR18","doi-asserted-by":"crossref","unstructured":"Nie, G., Zhang, L., Zhang, Y., Deng, W., Shi, Y.: Find intelligent knowledge by second-order mining: three cases from China. IEEE International Conference on Data Mining Workshops, 1189\u20131195 (2010)","DOI":"10.1109\/ICDMW.2010.115"},{"key":"738_CR19","doi-asserted-by":"crossref","unstructured":"Wang, J., Zhang, Y.: Opportunity model for e-commerce recommendation: right product; right time. International ACM SIGIR Conference on Research and Development in Information Retrieval, 303\u2013312 (2013)","DOI":"10.1145\/2484028.2484067"},{"key":"738_CR20","unstructured":"Nash, J. C., Varadhan, R., Grothendieck, G., Nash, M. J. C., Yes, L.: Package \u2018optimr\u2019, (2016)"},{"key":"738_CR21","unstructured":"Davenport, T. H.: What do we talk about when we talk about analytics. Enterprise analytics, optimize performance, process and decision through big data, 9\u201318, (2013)"},{"issue":"7","key":"738_CR22","doi-asserted-by":"publisher","first-page":"1317","DOI":"10.1081\/STA-120021561","volume":"32","author":"MM Nassar","year":"2003","unstructured":"Nassar, M.M., Eissa, F.H.: On the Exponentiated Weibull distribution. Commun. Stat. 32(7), 1317\u20131336 (2003)","journal-title":"Commun. Stat."},{"key":"738_CR23","unstructured":"Aur\u00e9lien, A. G.: Hands-on machine learning with Scikit-Learn and TensorFlow: concepts, tools, and techniques to build intelligent systems. O'Reilly Media Inc (2017)"}],"container-title":["World Wide Web"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-019-00738-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11280-019-00738-1\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11280-019-00738-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,23]],"date-time":"2023-09-23T01:57:46Z","timestamp":1695434266000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11280-019-00738-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,18]]},"references-count":23,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,5]]}},"alternative-id":["738"],"URL":"https:\/\/doi.org\/10.1007\/s11280-019-00738-1","relation":{},"ISSN":["1386-145X","1573-1413"],"issn-type":[{"value":"1386-145X","type":"print"},{"value":"1573-1413","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,11,18]]},"assertion":[{"value":"11 September 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 April 2019","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"23 September 2019","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 November 2019","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}