{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T18:35:28Z","timestamp":1743014128898,"version":"3.40.3"},"publisher-location":"Cham","reference-count":22,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030613761"},{"type":"electronic","value":"9783030613778"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","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":[[2020]]},"DOI":"10.1007\/978-3-030-61377-8_11","type":"book-chapter","created":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T19:04:06Z","timestamp":1602788646000},"page":"151-165","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["On Improving the Efficiency of Majorization-Minorization for the Inference of Rank Aggregation Models"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6950-3947","authenticated-orcid":false,"given":"Leonardo Ramos","family":"Emmendorfer","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2020,10,13]]},"reference":[{"key":"11_CR1","unstructured":"Agarwal, A., Patil, P., Agarwal, S.: Accelerated spectral ranking. In: International Conference on Machine Learning, pp. 70\u201379 (2018)"},{"issue":"3\/4","key":"11_CR2","doi-asserted-by":"publisher","first-page":"324","DOI":"10.2307\/2334029","volume":"39","author":"RA Bradley","year":"1952","unstructured":"Bradley, R.A., Terry, M.E.: Rank analysis of incomplete block designs: I. The method of paired comparisons. Biometrika 39(3\/4), 324\u2013345 (1952)","journal-title":"Biometrika"},{"issue":"1","key":"11_CR3","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1080\/10618600.2012.638220","volume":"21","author":"F Caron","year":"2012","unstructured":"Caron, F., Doucet, A.: Efficient Bayesian inference for generalized Bradley-Terry models. J. Comput. Graph. Stat. 21(1), 174\u2013196 (2012)","journal-title":"J. Comput. Graph. Stat."},{"issue":"1","key":"11_CR4","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"AP Dempster","year":"1977","unstructured":"Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum likelihood from incomplete data via the EM algorithm. J. Roy. Stat. Soc. Ser. B (Methodol.) 39(1), 1\u201322 (1977)","journal-title":"J. Roy. Stat. Soc. Ser. B (Methodol.)"},{"key":"11_CR5","volume-title":"The Rating of Chessplayers, Past & Present","author":"AE Elo","year":"1978","unstructured":"Elo, A.E.: The Rating of Chessplayers, Past & Present. Arco, New York (1978)"},{"key":"11_CR6","doi-asserted-by":"crossref","unstructured":"Guiver, J., Snelson, E.: Bayesian inference for Plackett-Luce ranking models. In: Proceedings of the 26th Annual International Conference on Machine Learning, pp. 377\u2013384 (2009)","DOI":"10.1145\/1553374.1553423"},{"key":"11_CR7","unstructured":"Hajek, B., Oh, S., Xu, J.: Minimax-optimal inference from partial rankings. In: Advances in Neural Information Processing Systems, pp. 1475\u20131483 (2014)"},{"key":"11_CR8","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1214\/aos\/1028144844","volume":"26","author":"T Hastie","year":"1998","unstructured":"Hastie, T., Tibshirani, R.: Classification by pairwise coupling. Ann. Stat. 26, 451\u2013471 (1998)","journal-title":"Ann. Stat."},{"issue":"1","key":"11_CR9","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1214\/aos\/1079120141","volume":"32","author":"DR Hunter","year":"2004","unstructured":"Hunter, D.R., et al.: MM algorithms for generalized Bradley-Terry models. Ann. Stat. 32(1), 384\u2013406 (2004)","journal-title":"Ann. Stat."},{"key":"11_CR10","series-title":"Studies in Computational Intelligence","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1007\/978-3-540-88067-7_15","volume-title":"Mining Complex Data","author":"T Kamishima","year":"2009","unstructured":"Kamishima, T., Akaho, S.: Efficient clustering for orders. In: Zighed, D.A., Tsumoto, S., Ras, Z.W., Hacid, H. (eds.) Mining Complex Data. Studies in Computational Intelligence, vol. 165, pp. 261\u2013279. Springer, Heidelberg (2009). https:\/\/doi.org\/10.1007\/978-3-540-88067-7_15"},{"key":"11_CR11","doi-asserted-by":"crossref","unstructured":"Kumar, R., Tomkins, A., Vassilvitskii, S., Vee, E.: Inverting a steady-state. In: Proceedings of the Eighth ACM International Conference on Web Search and Data Mining, pp. 359\u2013368 (2015)","DOI":"10.1145\/2684822.2685310"},{"issue":"1","key":"11_CR12","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/10618600.2000.10474858","volume":"9","author":"K Lange","year":"2000","unstructured":"Lange, K., Hunter, D.R., Yang, I.: Optimization transfer using surrogate objective functions. J. Comput. Graph. Stat. 9(1), 1\u201320 (2000)","journal-title":"J. Comput. Graph. Stat."},{"key":"11_CR13","volume-title":"Individual Choice Behavior: A Theoretical Analysis","author":"RD Luce","year":"1959","unstructured":"Luce, R.D.: Individual Choice Behavior: A Theoretical Analysis. Wiley, New York (1959)"},{"key":"11_CR14","unstructured":"Maystre, L., Grossglauser, M.: Fast and accurate inference of Plackett-Luce models. In: Advances in Neural Information Processing Systems, pp. 172\u2013180 (2015)"},{"key":"11_CR15","first-page":"105","volume-title":"Frotiers in Econometrics","author":"D McFadden","year":"1973","unstructured":"McFadden, D., et al.: Conditional logit analysis of qualitative choice behavior. In: Zarembka, P. (ed.) Frotiers in Econometrics, pp. 105\u2013142. Academic Press, Cambridge (1973)"},{"key":"11_CR16","unstructured":"Negahban, S., Oh, S., Shah, D.: Iterative ranking from pair-wise comparisons. In: Advances in Neural Information Processing Systems, pp. 2474\u20132482 (2012)"},{"issue":"1","key":"11_CR17","first-page":"1478","volume":"19","author":"S Negahban","year":"2018","unstructured":"Negahban, S., Oh, S., Thekumparampil, K.K., Xu, J.: Learning from comparisons and choices. J. Mach. Learn. Res. 19(1), 1478\u20131572 (2018)","journal-title":"J. Mach. Learn. Res."},{"issue":"2","key":"11_CR18","first-page":"193","volume":"24","author":"RL Plackett","year":"1975","unstructured":"Plackett, R.L.: The analysis of permutations. J. Roy. Stat. Soc. Ser. C (Appl. Stat.) 24(2), 193\u2013202 (1975)","journal-title":"J. Roy. Stat. Soc. Ser. C (Appl. Stat.)"},{"issue":"317","key":"11_CR19","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1080\/01621459.1967.10482901","volume":"62","author":"P Rao","year":"1967","unstructured":"Rao, P., Kupper, L.L.: Ties in paired-comparison experiments: a generalization of the Bradley-Terry model. J. Am. Stat. Assoc. 62(317), 194\u2013204 (1967)","journal-title":"J. Am. Stat. Assoc."},{"key":"11_CR20","unstructured":"Soufiani, H.A., Chen, W., Parkes, D.C., Xia, L.: Generalized method-of-moments for rank aggregation. In: Advances in Neural Information Processing Systems, pp. 2706\u20132714 (2013)"},{"issue":"4","key":"11_CR21","doi-asserted-by":"publisher","first-page":"384","DOI":"10.1037\/h0065439","volume":"21","author":"LL Thurstone","year":"1927","unstructured":"Thurstone, L.L.: The method of paired comparisons for social values. J. Abnorm. Soc. Psychol. 21(4), 384 (1927)","journal-title":"J. Abnorm. Soc. Psychol."},{"issue":"1","key":"11_CR22","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1007\/BF01180541","volume":"29","author":"E Zermelo","year":"1929","unstructured":"Zermelo, E.: Die berechnung der turnier-ergebnisse als ein maximumproblem der wahrscheinlichkeitsrechnung. Math. Z. 29(1), 436\u2013460 (1929)","journal-title":"Math. Z."}],"container-title":["Lecture Notes in Computer Science","Intelligent Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-61377-8_11","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T23:42:28Z","timestamp":1723765348000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-61377-8_11"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030613761","9783030613778"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-61377-8_11","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"13 October 2020","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BRACIS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazilian Conference on Intelligent Systems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Rio Grande","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Brazil","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"20 October 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 October 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"9","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bracis2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www2.sbc.org.br\/bracis2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"JEMS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"228","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":"91","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":"0","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":"40% - 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":"3,5","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)"}},{"value":"Due to the Corona pandemic BRACIS 2020 was held as a virtual event.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}