{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T05:46:19Z","timestamp":1783143979513,"version":"3.54.6"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T00:00:00Z","timestamp":1597881600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,8,23]]},"DOI":"10.1145\/3394486.3403277","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T23:15:22Z","timestamp":1597965322000},"page":"2280-2290","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Sub-Matrix Factorization for Real-Time Vote Prediction"],"prefix":"10.1145","author":[{"given":"Alexander","family":"Immer","sequence":"first","affiliation":[{"name":"Ecole polytechnique f\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Victor","family":"Kristof","sequence":"additional","affiliation":[{"name":"Ecole polytechnique f\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Matthias","family":"Grossglauser","sequence":"additional","affiliation":[{"name":"Ecole polytechnique f\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Patrick","family":"Thiran","sequence":"additional","affiliation":[{"name":"Ecole polytechnique f\u00e9d\u00e9rale de Lausanne, Lausanne, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.5555\/3305381.3305421"},{"key":"e_1_3_2_2_2_1","volume-title":"How to predict elections","author":"Bean L. H.","year":"1948","unstructured":"L. H. Bean . How to predict elections . 1948 . L. H. Bean. How to predict elections. 1948."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1057\/palgrave.fp.8200057"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2007.90"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/3122009.3242053"},{"key":"e_1_3_2_2_6_1","volume-title":"The poblano model","author":"Blumenthal M.","year":"2008","unstructured":"M. Blumenthal . The poblano model , 2008 . URL https:\/\/web.archive.org\/web\/20090414152429\/http:\/\/www.nationaljournal.com\/njonline\/mp_20080507_8254.php. Accessed: 2020-02-13. M. Blumenthal. The poblano model, 2008. URL https:\/\/web.archive.org\/web\/20090414152429\/http:\/\/www.nationaljournal.com\/njonline\/mp_20080507_8254.php. Accessed: 2020-02-13."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511804441"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.5555\/645315.649157"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972733.4"},{"key":"e_1_3_2_2_10_1","volume-title":"US presidential election 2012 prediction using census corrected Twitter model. arXiv preprint arXiv:1211.0938","author":"Choy M.","year":"2012","unstructured":"M. Choy , M. Cheong , M. N. Laik , and K. P. Shung . US presidential election 2012 prediction using census corrected Twitter model. arXiv preprint arXiv:1211.0938 , 2012 . M. Choy, M. Cheong, M. N. Laik, and K. P. Shung. US presidential election 2012 prediction using census corrected Twitter model. arXiv preprint arXiv:1211.0938, 2012."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1977.tb01624.x"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2700171.2791033"},{"key":"e_1_3_2_2_13_1","volume-title":"The approximation of one matrix by another of lower rank. Psychometrika, 1 (3)","author":"Eckart C.","year":"1936","unstructured":"C. Eckart and G. Young . The approximation of one matrix by another of lower rank. Psychometrika, 1 (3) , 1936 . C. Eckart and G. Young. The approximation of one matrix by another of lower rank. Psychometrika, 1 (3), 1936."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2660460.2660476"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2016.31"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1080\/19331681.2012.705080"},{"key":"e_1_3_2_2_17_1","volume-title":"Imputing missing data for gene expression arrays","author":"Hastie T.","year":"1999","unstructured":"T. Hastie , R. Tibshirani , G. Sherlock , M. Eisen , P. Brown , and D. Botstein . Imputing missing data for gene expression arrays . 1999 . T. Hastie, R. Tibshirani, G. Sherlock, M. Eisen, P. Brown, and D. Botstein. Imputing missing data for gene expression arrays. 1999."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.aal2887"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_2_20_1","volume-title":"Parsimonious data: How a single Facebook like predicts voting behavior in multiparty systems. PloS one, 12 (9)","author":"Kristensen J. B.","year":"2017","unstructured":"J. B. Kristensen , T. Albrechtsen , E. Dahl-Nielsen , M. Jensen , M. Skovrind , and T. Bornakke . Parsimonious data: How a single Facebook like predicts voting behavior in multiparty systems. PloS one, 12 (9) , 2017 . J. B. Kristensen, T. Albrechtsen, E. Dahl-Nielsen, M. Jensen, M. Skovrind, and T. Bornakke. Parsimonious data: How a single Facebook like predicts voting behavior in multiparty systems. PloS one, 12 (9), 2017."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-856X.2005.00178.x"},{"key":"e_1_3_2_2_22_1","volume-title":"v. d. Maaten and G. Hinton. Visualizing data using t-SNE. Journal of machine learning research, 9 (Nov): 2579--2605","author":"L.","year":"2008","unstructured":"L. v. d. Maaten and G. Hinton. Visualizing data using t-SNE. Journal of machine learning research, 9 (Nov): 2579--2605 , 2008 . L. v. d. Maaten and G. Hinton. Visualizing data using t-SNE. Journal of machine learning research, 9 (Nov): 2579--2605, 2008."},{"key":"e_1_3_2_2_23_1","first-page":"2016","author":"Election Data MIT","year":"1976","unstructured":"MIT Election Data and Science Lab . U.S . President 1976 -- 2016 , 2017. URL https:\/\/doi.org\/10.7910\/DVN\/42MVDX. Accessed: 2020-02-06. 10.7910\/DVN MIT Election Data and Science Lab. U.S. President 1976--2016, 2017. URL https:\/\/doi.org\/10.7910\/DVN\/42MVDX. Accessed: 2020-02-06.","journal-title":"President"},{"key":"e_1_3_2_2_24_1","volume-title":"Machine learning: a probabilistic perspective","author":"Murphy K. P.","year":"2012","unstructured":"K. P. Murphy . Machine learning: a probabilistic perspective . The MIT Press , 2012 . K. P. Murphy. Machine learning: a probabilistic perspective. The MIT Press, 2012."},{"key":"e_1_3_2_2_25_1","volume-title":"German parliamentary elections","author":"Research Data Norwegian Centre","year":"2020","unstructured":"Norwegian Centre for Research Data . German parliamentary elections , 2020 . URL https:\/\/nsd.no\/european_election_database\/country\/germany\/parliamentary_elections.html. Accessed : 2020-06-16. Norwegian Centre for Research Data. German parliamentary elections, 2020. URL https:\/\/nsd.no\/european_election_database\/country\/germany\/parliamentary_elections.html. Accessed: 2020-06-16."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/INVENTIVE.2016.7823280"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1177\/1532673X08330670"},{"key":"e_1_3_2_2_28_1","volume-title":"Pollster ratings v3.0","author":"Silver N.","year":"2008","unstructured":"N. Silver . Pollster ratings v3.0 , 2008 . URL https:\/\/fivethirtyeight.com\/features\/pollster-ratings-v30\/. Accessed : 2020-02--13. N. Silver. Pollster ratings v3.0, 2008. URL https:\/\/fivethirtyeight.com\/features\/pollster-ratings-v30\/. Accessed: 2020-02--13."},{"key":"e_1_3_2_2_29_1","unstructured":"The Swiss Confederation. Democracy 2019 a. URL https:\/\/www.ch.ch\/en\/demokratie\/. Accessed: 2020-02-04.  The Swiss Confederation. Democracy 2019 a. URL https:\/\/www.ch.ch\/en\/demokratie\/. Accessed: 2020-02-04."},{"key":"e_1_3_2_2_30_1","volume-title":"Popular vote","author":"Confederation The Swiss","year":"2019","unstructured":"The Swiss Confederation . Popular vote , 2019 b . URL https:\/\/www.admin.ch\/gov\/en\/start\/documentation\/votes.html. Accessed : 2020-02-04. The Swiss Confederation. Popular vote, 2019 b . URL https:\/\/www.admin.ch\/gov\/en\/start\/documentation\/votes.html. Accessed: 2020-02-04."},{"key":"e_1_3_2_2_31_1","volume-title":"Real-time data on referenda on vote days","author":"Federal Statistical The Swiss","year":"2020","unstructured":"The Swiss Federal Statistical Office (via opendata.swiss). Real-time data on referenda on vote days , 2020 . URL https:\/\/opendata.swiss\/en\/dataset\/echtzeitdaten-am-abstimmungstag-zu-eidgenoessischen-abstimmungsvorlagen. Accessed : 2020-02-11. The Swiss Federal Statistical Office (via opendata.swiss). Real-time data on referenda on vote days, 2020. URL https:\/\/opendata.swiss\/en\/dataset\/echtzeitdaten-am-abstimmungstag-zu-eidgenoessischen-abstimmungsvorlagen. Accessed: 2020-02-11."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/17.6.520"},{"key":"e_1_3_2_2_33_1","volume-title":"Election forecasts with Twitter: How 140 characters reflect the political landscape. Social science computer review, 29 (4): 402--418","author":"Tumasjan A.","year":"2011","unstructured":"A. Tumasjan , T. O. Sprenger , P. G. Sandner , and I. M. Welpe . Election forecasts with Twitter: How 140 characters reflect the political landscape. Social science computer review, 29 (4): 402--418 , 2011 . A. Tumasjan, T. O. Sprenger, P. G. Sandner, and I. M. Welpe. Election forecasts with Twitter: How 140 characters reflect the political landscape. Social science computer review, 29 (4): 402--418, 2011."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.giq.2017.05.004"}],"event":{"name":"KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","location":"Virtual Event CA USA","acronym":"KDD '20","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"]},"container-title":["Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403277","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3403277","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:48Z","timestamp":1750197708000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403277"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,20]]},"references-count":34,"alternative-id":["10.1145\/3394486.3403277","10.1145\/3394486"],"URL":"https:\/\/doi.org\/10.1145\/3394486.3403277","relation":{},"subject":[],"published":{"date-parts":[[2020,8,20]]},"assertion":[{"value":"2020-08-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}