{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T12:43:23Z","timestamp":1726058603957},"publisher-location":"Cham","reference-count":25,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030349790"},{"type":"electronic","value":"9783030349806"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-34980-6_19","type":"book-chapter","created":{"date-parts":[[2019,11,11]],"date-time":"2019-11-11T06:03:07Z","timestamp":1573452187000},"page":"163-174","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Who Watches What: Forecasting Viewership for the Top 100 TV Networks"],"prefix":"10.1007","author":[{"given":"Denis","family":"Khryashchev","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexandru","family":"Papiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiamin","family":"Xuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olivia","family":"Dinica","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kyle","family":"Hubert","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huy","family":"Vo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,11,11]]},"reference":[{"key":"19_CR1","unstructured":"Oster, E.: TVs share of ad spend expected to continue its decline this year. https:\/\/www.adweek.com\/agencies\/tvs-share-of-ad-spend-expected-to-continue-its-decline-this-year (2018)"},{"key":"19_CR2","unstructured":"Arvidsson, J.: Forecasting on-demand video viewership ratings using neural networks (2014)"},{"issue":"2","key":"19_CR3","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1080\/00913367.2001.10673637","volume":"30","author":"PM Napoli","year":"2001","unstructured":"Napoli, P.M.: The unpredictable audience: an exploratory analysis of forecasting error for new prime-time network television programs. J. Advert. 30(2), 53\u201360 (2001)","journal-title":"J. Advert."},{"issue":"90","key":"19_CR4","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1090\/S0025-5718-1965-0178586-1","volume":"19","author":"JW Cooley","year":"1965","unstructured":"Cooley, J.W., Tukey, J.W.: An algorithm for the machine calculation of complex fourier series. Math. Comput. 19(90), 297\u2013301 (1965)","journal-title":"Math. Comput."},{"key":"19_CR5","volume-title":"Discrete-Time Signal Processing","author":"A Oppenheim","year":"1999","unstructured":"Oppenheim, A., Schafer, R., Buck, J.: Discrete-Time Signal Processing. Prentice Hall, Upper Saddle River (1999)"},{"key":"19_CR6","unstructured":"Hubert, K.: The hidden story behind TV\u2019s ratings decline. https:\/\/www.simulmedia.com\/assets\/media\/Hidden-Story-Behind-TV-Ratings-Decline.pdf (2017)"},{"issue":"1","key":"19_CR7","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1080\/08838150701820924","volume":"52","author":"DB Hindman","year":"2008","unstructured":"Hindman, D.B., Wiegand, K.: The big three\u2019s prime time decline: a technological and social context. J. Broadcast. Electron. Media 52(1), 119\u2013135 (2008)","journal-title":"J. Broadcast. Electron. Media"},{"issue":"2","key":"19_CR8","doi-asserted-by":"crossref","first-page":"13","DOI":"10.11114\/smc.v4i2.1611","volume":"4","author":"SD Hunter III","year":"2016","unstructured":"Hunter III, S.D., Chinta, R., Smith, S., Shamim, A., Bawazir, A.: Moneyball for TV: a model for forecasting the audience of new dramatic television series. Stud. Media Commun. 4(2), 13\u201322 (2016)","journal-title":"Stud. Media Commun."},{"key":"19_CR9","unstructured":"Zigmond, D., et al.: When viewers control the schedule: measuring the impact of digital video recording on TV viewership. In: Key Issues Forums at ARF Audience Measurement Conference (2009)"},{"key":"19_CR10","doi-asserted-by":"crossref","unstructured":"Weber, R.: Methods to forecast television viewing patterns for target audiences. In: Communication Research in Europe and Abroad Challenges of the First Decade. De-Gruyter, Berlin (2002)","DOI":"10.1515\/9783110849202.271"},{"key":"19_CR11","unstructured":"Neagu, R.: Forecasting television viewership: a case study. GE Global Research, 2003GRC039 (2003)"},{"key":"19_CR12","unstructured":"Pagano, R., Quadrana, M., Cremonesi, P., Bittanti, S., Formwentin, S., Mosconi, A.: Prediction of TV ratings with dynamic models. In: ACM Workshop on Recommendation Systems for Television and Online Video, RecSysTV (2015)"},{"issue":"3","key":"19_CR13","first-page":"147","volume":"1","author":"D Meyer","year":"2005","unstructured":"Meyer, D., Hyndman, R.J.: The accuracy of television network rating forecasts: the effects of data aggregation and alternative models. Model Assist. Stat. Appl. 1(3), 147\u2013155 (2005)","journal-title":"Model Assist. Stat. Appl."},{"issue":"1","key":"19_CR14","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1016\/j.ejor.2006.03.047","volume":"180","author":"K Nikolopoulos","year":"2007","unstructured":"Nikolopoulos, K., Goodwin, P., Patelis, A., Assimakopoulos, V.: Forecasting with cue information: a comparison of multiple regression with alternative forecasting approaches. Eur. J. Oper. Res. 180(1), 354\u2013368 (2007)","journal-title":"Eur. J. Oper. Res."},{"issue":"1","key":"19_CR15","doi-asserted-by":"publisher","first-page":"82","DOI":"10.1177\/1527002515612875","volume":"19","author":"C Wang","year":"2018","unstructured":"Wang, C., Goossens, D., Vandebroek, M.: The impact of the soccer schedule on TV viewership and stadium attendance: evidence from the Belgian Pro League. J. Sports Econ. 19(1), 82\u2013112 (2018)","journal-title":"J. Sports Econ."},{"key":"19_CR16","unstructured":"Gambaro, M., Larcinese, V., Puglisi, R., Snyder Jr., J.M.: Is soft news a turn-off? Evidence from Italian TV news viewership (2017)"},{"issue":"324","key":"19_CR17","first-page":"828","volume":"81","author":"R Belo","year":"2016","unstructured":"Belo, R., Ferreira, P., de Matos, M., Reis, F.: The impact of time-shift TV on TV viewership and on ad consumption: results from both natural and randomized experiments. A theory of the economics of time. Econ. J. 81(324), 828\u2013846 (2016)","journal-title":"Econ. J."},{"issue":"1","key":"19_CR18","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1080\/00031305.2017.1380080","volume":"72","author":"SJ Taylor","year":"2018","unstructured":"Taylor, S.J., Letham, B.: Forecasting at scale. Am. Stat. 72(1), 37\u201345 (2018)","journal-title":"Am. Stat."},{"key":"19_CR19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-04898-2","volume-title":"International Encyclopedia of Statistical Science","author":"PJ Huber","year":"2011","unstructured":"Huber, P.J.: Robust statistics. In: Lovric, M. (ed.) International Encyclopedia of Statistical Science. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-04898-2"},{"key":"19_CR20","doi-asserted-by":"crossref","unstructured":"Chen, T., Guestrin, C.: XGBoost: a scalable tree boosting system. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 785\u2013794. ACM (2016)","DOI":"10.1145\/2939672.2939785"},{"key":"19_CR21","doi-asserted-by":"crossref","unstructured":"Shen, W., Babushkin, V., Aung, Z., Woon, W.L.: An ensemble model for day-ahead electricity demand time series forecasting. In: Proceedings of the Fourth International Conference on Future Energy Systems, pp. 51\u201362. ACM (2013)","DOI":"10.1145\/2487166.2487173"},{"issue":"3","key":"19_CR22","doi-asserted-by":"publisher","first-page":"775","DOI":"10.1109\/TEC.2009.2025431","volume":"24","author":"JW Taylor","year":"2009","unstructured":"Taylor, J.W., McSharry, P.E., Buizza, R., et al.: Wind power density forecasting using ensemble predictions and time series models. IEEE Trans. Energy Convers. 24(3), 775 (2009)","journal-title":"IEEE Trans. Energy Convers."},{"issue":"9","key":"19_CR23","doi-asserted-by":"publisher","first-page":"4235","DOI":"10.1016\/j.eswa.2013.12.011","volume":"41","author":"N Kourentzes","year":"2014","unstructured":"Kourentzes, N., Barrow, D.K., Crone, S.F.: Neural network ensemble operators for time series forecasting. Expert Syst. Appl. 41(9), 4235\u20134244 (2014)","journal-title":"Expert Syst. Appl."},{"issue":"4","key":"19_CR24","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1016\/S0169-2070(00)00057-1","volume":"16","author":"S Makridakis","year":"2000","unstructured":"Makridakis, S., Hibon, M.: The M3-competition: results, conclusions and implications. Int. J. Forecast. 16(4), 451\u2013476 (2000)","journal-title":"Int. J. Forecast."},{"issue":"4","key":"19_CR25","doi-asserted-by":"publisher","first-page":"802","DOI":"10.1016\/j.ijforecast.2018.06.001","volume":"34","author":"S Makridakis","year":"2018","unstructured":"Makridakis, S., Spiliotis, E., Assimakopoulos, V.: The M4 competition: results, findings, conclusion and way forward. Int. J. Forecast. 34(4), 802\u2013808 (2018)","journal-title":"Int. J. Forecast."}],"container-title":["Lecture Notes in Computer Science","Computational Data and Social Networks"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-34980-6_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,22]],"date-time":"2023-09-22T19:48:20Z","timestamp":1695412100000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-34980-6_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030349790","9783030349806"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-34980-6_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"11 November 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"CSoNet","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Data and Social Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Ho Chi Minh City","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Vietnam","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18 November 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 November 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"csonet2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/optnetsci.cise.ufl.edu\/CSoNet\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"120","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"22","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"5","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}