{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T16:02:15Z","timestamp":1774195335459,"version":"3.50.1"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2017,5,23]],"date-time":"2017-05-23T00:00:00Z","timestamp":1495497600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"ERDF - European Regional Development Fund","award":["POCI-01-0145-FEDER-006961"],"award-info":[{"award-number":["POCI-01-0145-FEDER-006961"]}]},{"name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia (PT)","award":["UID\/EEA\/50014\/2013"],"award-info":[{"award-number":["UID\/EEA\/50014\/2013"]}]},{"name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia (PT)","award":["SFRH\/BD\/90180\/2012"],"award-info":[{"award-number":["SFRH\/BD\/90180\/2012"]}]},{"DOI":"10.13039\/501100001871","name":"Funda\u00e7\u00e3o para a Ci\u00eancia e a Tecnologia (PT)","doi-asserted-by":"publisher","award":["PD\/BD\/105788\/2014"],"award-info":[{"award-number":["PD\/BD\/105788\/2014"]}],"id":[{"id":"10.13039\/501100001871","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["New Gener. Comput."],"published-print":{"date-parts":[[2017,10]]},"DOI":"10.1007\/s00354-017-0019-x","type":"journal-article","created":{"date-parts":[[2017,5,23]],"date-time":"2017-05-23T08:56:11Z","timestamp":1495529771000},"page":"417-450","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["A Framework for Recommendation of Highly Popular News Lacking Social Feedback"],"prefix":"10.1007","volume":"35","author":[{"given":"Nuno","family":"Moniz","sequence":"first","affiliation":[]},{"given":"Lu\u00eds","family":"Torgo","sequence":"additional","affiliation":[]},{"given":"Magdalini","family":"Eirinaki","sequence":"additional","affiliation":[]},{"given":"Paula","family":"Branco","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,5,23]]},"reference":[{"key":"19_CR1","doi-asserted-by":"crossref","unstructured":"Ahmed, M., Spagna, S., Huici, F., Niccolini, S. A peek into the future: Predicting the evolution of popularity in user generated content. In: Proc. of 6th ACM WSDM, pp. 607\u2013616. ACM, New York (2013)","DOI":"10.1145\/2433396.2433473"},{"key":"19_CR2","unstructured":"Akima, H., Gebhardt, A. Akima: Interpolation of Irregularly and Regularly Spaced Data (2015). https:\/\/CRAN.R-project.org\/package=akima, r package version0.5-12"},{"key":"19_CR3","unstructured":"Bandari, R., Asur, S., Huberman, B.A.: The Pulse of News in Social Media: Forecasting Popularity (2012). arXiv:abs\/1202.0332 (CoRR)"},{"issue":"2","key":"19_CR4","doi-asserted-by":"crossref","first-page":"192","DOI":"10.1509\/jmr.10.0353","volume":"49","author":"J Berger","year":"2012","unstructured":"Berger, J., Milkman, K.L.: What Makes Online Content Viral? J. Mark. Res. 49(2), 192\u2013205 (2012)","journal-title":"J. Mark. Res."},{"key":"19_CR5","unstructured":"Branco, P.: Re-sampling Approaches for Regression Tasks Under Imbalanced Domains. Ph.D. thesis, Universidade do Porto (2014)"},{"key":"19_CR6","unstructured":"Branco, P., Ribeiro, R.P., Torgo, L. UBL: an r package for utility-based learning (2016). arXiv:abs\/1604.08079 (CoRR)"},{"key":"19_CR7","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: Smote: Synthetic Minority Over-Sampling Technique. JAIR 16, 321\u2013357 (2002)","journal-title":"JAIR"},{"key":"19_CR8","volume-title":"Networks, Crowds, and Markets: Reasoning About a Highly Connected World","author":"E David","year":"2010","unstructured":"David, E., Jon, K.: Networks, Crowds, and Markets: Reasoning About a Highly Connected World. Cambridge University Press, New York (2010)"},{"key":"19_CR9","doi-asserted-by":"crossref","unstructured":"Davis, J., Goadrich, M. The relationship between precision-recall and roc curves. In: Proc. of 23rd ICML, pp. 233\u2013240. New York (2006)","DOI":"10.1145\/1143844.1143874"},{"key":"19_CR10","doi-asserted-by":"crossref","unstructured":"De\u00a0Choudhury, M., Counts, S., Czerwinski, M.: Identifying relevant social media content: leveraging information diversity and user cognition. In: Proc. of the 22nd ACM HT, pp. 161\u2013170. ACM, New York (2011)","DOI":"10.1145\/1995966.1995990"},{"key":"19_CR11","doi-asserted-by":"crossref","unstructured":"De\u00a0Francisci\u00a0Morales, G., Gionis, A., Lucchese, C.: From chatter to headlines: harnessing the real-time web for personalized news recommendation. In: Proceedings of the 5th ACM International Conference on Web Search and Data Mining. ACM, New York (2012)","DOI":"10.1145\/2124295.2124315"},{"issue":"186","key":"19_CR12","doi-asserted-by":"crossref","first-page":"471","DOI":"10.1090\/S0025-5718-1989-0962209-1","volume":"52","author":"RL Dougherty","year":"1989","unstructured":"Dougherty, R.L., Edelman, A., Hyman, J.M.: Nonnegativity-, Monotonicity-, or Convexity-Preserving Cubic and Quintic Hermite Interpolation. Math. Comput. 52(186), 471\u2013494 (1989)","journal-title":"Math. Comput."},{"key":"19_CR13","unstructured":"Elkan, C.: The foundations of cost-sensitive learning. In: Proceedings of the 17th International Joint Conference on Artificial Intelligence, IJCAI\u201901, vol. 2. Morgan Kaufmann Publishers Inc., San Francisco, pp. 973\u2013978 (2001)"},{"key":"19_CR14","doi-asserted-by":"crossref","unstructured":"Fawcett, T., Provost, F.: Activity monitoring: noticing interesting changes in behavior. Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. KDD \u201999, pp. 53\u201362. ACM, New York (1999)","DOI":"10.1145\/312129.312195"},{"issue":"25","key":"19_CR15","first-page":"1","volume":"5","author":"I Feinerer","year":"2008","unstructured":"Feinerer, I., Hornik, K., Meyer, D.: Text mining infrastructure in r. Journal of Statistical Software 5(25), 1\u201354 (2008)","journal-title":"Journal of Statistical Software"},{"key":"19_CR16","doi-asserted-by":"crossref","unstructured":"Figueiredo, F., Almeida, J.M., Gon\u00e7alves, M.A., Benevenuto, F.: On the Dynamics of Social Media Popularity: A Youtube Case Study. TOIT 14(4), 24:1\u201324:23 (2014)","DOI":"10.1145\/2665065"},{"key":"19_CR17","first-page":"933","volume":"4","author":"Y Freund","year":"2003","unstructured":"Freund, Y., Iyer, R., Schapire, R.E., Singer, Y.: An Efficient Boosting Algorithm for Combining Preferences. J. Mach. Learn. Res. 4, 933\u2013969 (2003)","journal-title":"J. Mach. Learn. Res."},{"key":"19_CR18","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1214\/aos\/1013203451","volume":"29","author":"JH Friedman","year":"2000","unstructured":"Friedman, J.H.: Greedy Function Approximation: A Gradient Boosting Machine. Ann. Stat. 29, 1189\u20131232 (2000)","journal-title":"Ann. Stat."},{"key":"19_CR19","doi-asserted-by":"crossref","unstructured":"G\u00fcrsun, G., Crovella, M., Matta, I.: Describing and Forecasting Video Access Patterns. In: Proc. of 2011 IEEE INFOCOM, pp. 16\u201320 (2011)","DOI":"10.1109\/INFCOM.2011.5934965"},{"key":"19_CR20","doi-asserted-by":"crossref","unstructured":"Gupta, M., Gao, J., Zhai, C., Han, J.: Predicting future popularity trend of events in microblogging platforms. ASIS&T 75th Annual Meeting (2012)","DOI":"10.1002\/meet.14504901207"},{"key":"19_CR21","doi-asserted-by":"crossref","unstructured":"Hong, L., Dom, B., Gurumurthy, S., Tsioutsiouliklis, K.: A time-dependent topic model for multiple text streams. In: Proc. of the 17th ACM SIGKDD, ACM, KDD \u201911, pp. 832\u2013840 (2011)","DOI":"10.1145\/2020408.2020551"},{"key":"19_CR22","unstructured":"Hsieh, C., Moghbel, C., Fang, J., Cho, J.: Experts vs. the crowd: examining popular news prediction performance on twitter. In: Proc. of WWW (2013)"},{"key":"19_CR23","unstructured":"Hu, M., Liu, B.: Mining opinion features in customer reviews. In: Proc. of 19th AAAI, pp. 755\u2013760. AAAI Press, London (2004)"},{"key":"19_CR24","doi-asserted-by":"crossref","unstructured":"Kaltenbrunner, A., Gomez, V., Lopez, V.: Description and prediction of slashdot activity. In: Proc. of the 2007 LA-WEB, pp. 57\u201366. IEEE (2007)","DOI":"10.1109\/LA-Web.2007.21"},{"issue":"1","key":"19_CR25","doi-asserted-by":"crossref","first-page":"134","DOI":"10.1016\/j.neucom.2011.04.040","volume":"76","author":"JG Lee","year":"2012","unstructured":"Lee, J.G., Moon, S., Salamatian, K.: Modeling and Predicting the Popularity of Online Contents with Cox Proportional Hazard Regression Model. Neurocomputing 76(1), 134\u2013145 (2012)","journal-title":"Neurocomputing"},{"key":"19_CR26","doi-asserted-by":"crossref","unstructured":"Lerman, K., Ghosh, R.: Information contagion: An empirical study of the spread of news on digg and twitter social networks. In: Proc. of 4th ICWSM (2010)","DOI":"10.1609\/icwsm.v4i1.14021"},{"key":"19_CR27","unstructured":"Liaw, A., Wiener, M.: Classification and Regression by Randomforest. R News 2(3), 18\u201322 (2002). http:\/\/CRAN.R-project.org\/doc\/Rnews\/"},{"key":"19_CR28","unstructured":"McCreadie, R.M.C., Macdonald, C., Ounis, I.: News article ranking: Leveraging the wisdom of bloggers. In: Adaptivity, Personalization and Fusion of Heterogeneous Information, LE CENTRE DE HAUTES ETUDES INTERNATIONALES D\u2019INFORMATIQUE DOCUMENTAIRE, RIAO \u201910, pp. 40\u201348 (2010)"},{"key":"19_CR29","unstructured":"Meyer, D., Dimitriadou, E., Hornik, K., Weingessel, A., Leisch, F.: e1071: Misc Functions of the Department of Statistics (e1071). TU Wien (2012). http:\/\/CRAN.R-project.org\/package=e1071, r package version 1.6-1"},{"key":"19_CR30","unstructured":"Milborrow, S.: Earth: Multivariate Adaptive Regression Spline Models (2013). http:\/\/CRAN.R-project.org\/package=earth, r package version 3.2-6"},{"key":"19_CR31","doi-asserted-by":"crossref","unstructured":"Moniz, N., Torgo, L., Rodrigues, F.: Resampling Approaches to Improve News Importance Prediction. Advances in Intelligent Data Analysis XIII, vol. 8819, pp. 215\u2013226. Springer International Publishing, New York (2014)","DOI":"10.1007\/978-3-319-12571-8_19"},{"key":"19_CR32","doi-asserted-by":"crossref","unstructured":"Moniz, N., Torgo, L., Eirinaki, M., Branco, P.: Time-based ensembles for prediction of rare events in news streams. In: 2016 IEEE International Conference on Data Mining Workshop. ICDMW (2016) (accepted)","DOI":"10.1109\/ICDMW.2016.0154"},{"key":"19_CR33","volume-title":"Reuters institute digital news report 2016","author":"N Newman","year":"2016","unstructured":"Newman, N., Fletcher, R., Levy, D.A.L., Nielsen, R.K.: Reuters institute digital news report 2016. Reuters Institute for the Study of Journal (University of Oxford), Tech. rep (2016)"},{"key":"19_CR34","doi-asserted-by":"crossref","unstructured":"Osborne, M., Dredze, M.: Facebook, twitter and google plus for breaking news: Is there a winner? In: Proc. of the 8th ICWSM (2014)","DOI":"10.1609\/icwsm.v8i1.14572"},{"key":"19_CR35","doi-asserted-by":"crossref","unstructured":"Petrovic, S., Osborne, M., McCreadie, R., Macdonald C., Ounis, I., Shrimpton, L.: Can twitter replace newswire for breaking news? In: Proc. of 7th ICWSM. The AAAI Press, London (2013)","DOI":"10.1609\/icwsm.v7i1.14450"},{"key":"19_CR36","doi-asserted-by":"crossref","unstructured":"Pinto, H., Almeida, J.M., Gon\u00e7alves, M.A.: Using early view patterns to predict the popularity of youtube videos. In: Proc. of 6th ACM WSDM, pp. 365\u2013374. New York (2013)","DOI":"10.1145\/2433396.2433443"},{"key":"19_CR37","unstructured":"Ribeiro, R.: Utility-based regression. Ph.D. thesis, Dep. Computer Science, Faculty of Sciences\u2014University of Porto (2011)"},{"key":"19_CR38","doi-asserted-by":"crossref","unstructured":"Shulman, B., Sharma, A., Cosley, D.: Predictability of popularity: Gaps between prediction and understanding. In: Proc 10th ICWSM, pp. 348\u2013357 (2016)","DOI":"10.1609\/icwsm.v10i1.14748"},{"issue":"9","key":"19_CR39","doi-asserted-by":"crossref","first-page":"1847","DOI":"10.1002\/asi.23289","volume":"66","author":"MV Simkin","year":"2015","unstructured":"Simkin, M.V., Roychowdhury, V.P.: Why does attention to web articles fall with time? J. Assoc. Inf. Sci. Technol. 66(9), 1847\u20131856 (2015)","journal-title":"J. Assoc. Inf. Sci. Technol."},{"key":"19_CR40","doi-asserted-by":"crossref","unstructured":"Suh, B., Hong, L., Pirolli, P., Chi, E.H. Want to be retweeted? large scale analytics on factors impacting retweet in twitter network. In: Proc. of the 2nd IEEE SOCIALCOM, pp. 177\u2013184. IEEE, DC (2010)","DOI":"10.1109\/SocialCom.2010.33"},{"issue":"8","key":"19_CR41","doi-asserted-by":"crossref","first-page":"80","DOI":"10.1145\/1787234.1787254","volume":"53","author":"G Szabo","year":"2010","unstructured":"Szabo, G., Huberman, B.A.: Predicting the popularity of online content. Commun. ACM 53(8), 80\u201388 (2010)","journal-title":"Commun. ACM"},{"key":"19_CR42","doi-asserted-by":"crossref","unstructured":"Tatar, A., Leguay, J., Antoniadis, P., Limbourg, A., de\u00a0Amorim, M.D., Fdida, S.: Predicting the popularity of online articles based on user comments. In: Proc. of the 2011 WIMS, pp. 67:1\u201367:8 (2011)","DOI":"10.1145\/1988688.1988766"},{"key":"19_CR43","doi-asserted-by":"crossref","unstructured":"Tatar, A., Antoniadis, P., de Amorim, M.D., Fdida, S.: Ranking news articles based on popularity prediction. Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining. ASONAM \u201912, pp. 106\u2013110. IEEE Computer Society, Washington, DC (2012)","DOI":"10.1109\/ASONAM.2012.28"},{"issue":"1","key":"19_CR44","doi-asserted-by":"crossref","first-page":"8","DOI":"10.1186\/s13174-014-0008-y","volume":"5","author":"A Tatar","year":"2014","unstructured":"Tatar, A., de Amorim, M., Fdida, S., Antoniadis, P.: A survey on predicting the popularity of web content. JISA 5(1), 8 (2014a)","journal-title":"JISA"},{"issue":"1","key":"19_CR45","first-page":"1","volume":"4","author":"A Tatar","year":"2014","unstructured":"Tatar, A., Antoniadis, P., Amorim, MDd, Fdida, S.: From Popularity Prediction to Ranking Online News. SNAM 4(1), 1\u201312 (2014b)","journal-title":"SNAM"},{"key":"19_CR46","doi-asserted-by":"crossref","DOI":"10.1201\/b10328","volume-title":"Data Mining with R, learning with case studies","author":"L Torgo","year":"2010","unstructured":"Torgo, L.: Data Mining with R, learning with case studies. Chapman and Hall\/CRC, London (2010)"},{"key":"19_CR47","unstructured":"Torgo, L.: An infra-structure for performance estimation and experimental comparison of predictive models in r (2014). arXiv:abs\/1412.0436 (CoRR)"},{"key":"19_CR48","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1007\/978-3-642-40669-0_33","volume-title":"EPIA","author":"L Torgo","year":"2013","unstructured":"Torgo, L., Ribeiro, R.P., Pfahringer, B., Branco, P.: Smote for regression. In: Correia, L., Reis, L.P., Cascalho, J. (eds.) EPIA. Lecture Notes in Computer Science, vol. 8154, pp. 378\u2013389. Springer, New york (2013)"},{"issue":"3","key":"19_CR49","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1111\/exsy.12081","volume":"32","author":"L Torgo","year":"2015","unstructured":"Torgo, L., Branco, P., Ribeiro, R.P., Pfahringer, B.: Resampling strategies for regression. Expert Syst. 32(3), 465\u2013476 (2015)","journal-title":"Expert Syst."},{"key":"19_CR50","doi-asserted-by":"crossref","unstructured":"Tsagkias, M., Weerkamp, W., de\u00a0Rijke, M.: Predicting the volume of comments on online news stories. In: Proc. of 18th ACM CIKM, pp. 1765\u20131768. New York (2009)","DOI":"10.1145\/1645953.1646225"},{"key":"19_CR51","doi-asserted-by":"crossref","unstructured":"Tsagkias, M., Weerkamp, W., Rijke, M.: News comments: Exploring, modeling, and online prediction. In: Proc. of 32nd ECIR, pp. 191\u2013203 (2010)","DOI":"10.1007\/978-3-642-12275-0_19"},{"issue":"3","key":"19_CR52","doi-asserted-by":"crossref","first-page":"254","DOI":"10.1007\/s10791-009-9112-1","volume":"13","author":"Q Wu","year":"2010","unstructured":"Wu, Q., Burges, C.J., Svore, K.M., Gao, J.: Adapting boosting for information retrieval measures. Inf. Retr. 13(3), 254\u2013270 (2010)","journal-title":"Inf. Retr."},{"key":"19_CR53","doi-asserted-by":"crossref","unstructured":"Xu, J., Li, H.: Adarank: A boosting algorithm for information retrieval. In: Proc. of 30th ACM SIGIR, pp. 391\u2013398. New York (2007)","DOI":"10.1145\/1277741.1277809"},{"key":"19_CR54","doi-asserted-by":"crossref","unstructured":"Yang, J., Leskovec, J.: Patterns of temporal variation in online media. In: Proc. of 4th ACM WSDM, pp. 177\u2013186. New York (2011)","DOI":"10.1145\/1935826.1935863"},{"key":"19_CR55","unstructured":"Zaman, T., Fox, E.B., Bradlow, E.T.: A Bayesian Approach for Predicting the Popularity of Tweets (2013). arXiv:1304.6777"},{"key":"19_CR56","unstructured":"\u00d6zg\u00f6bek, O., Gulla, J.A., Erdur, R.C.: A survey on challenges and methods in news recommendation. Proc of 10th WEBIST (2014)"}],"container-title":["New Generation Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00354-017-0019-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00354-017-0019-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00354-017-0019-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,23]],"date-time":"2023-08-23T17:58:32Z","timestamp":1692813512000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00354-017-0019-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,5,23]]},"references-count":56,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2017,10]]}},"alternative-id":["19"],"URL":"https:\/\/doi.org\/10.1007\/s00354-017-0019-x","relation":{},"ISSN":["0288-3635","1882-7055"],"issn-type":[{"value":"0288-3635","type":"print"},{"value":"1882-7055","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,5,23]]}}}