{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T05:02:01Z","timestamp":1774587721910,"version":"3.50.1"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,8]]},"abstract":"<jats:p>The classical multiwinner rules are designed for particular purposes. For example, variants of k-Borda are used to find k best competitors in judging contests while the Chamberlin-Courant rule is\n\nused to select a diverse set of k products. These rules represent two extremes of the multiwinner world. At times, however, one might need to find an appropriate trade-off between these two extremes. We explore continuous transitions from k-Borda to Chamberlin-Courant and study intermediate rules.<\/jats:p>","DOI":"10.24963\/ijcai.2017\/28","type":"proceedings-article","created":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T09:14:07Z","timestamp":1501233247000},"page":"192-198","source":"Crossref","is-referenced-by-count":12,"title":["Multiwinner Rules on Paths From k-Borda to Chamberlin\u2013Courant"],"prefix":"10.24963","author":[{"given":"Piotr","family":"Faliszewski","sequence":"first","affiliation":[{"name":"AGH University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Piotr","family":"Skowron","sequence":"additional","affiliation":[{"name":"TU Berlin"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arkadii","family":"Slinko","sequence":"additional","affiliation":[{"name":"University of Auckland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nimrod","family":"Talmon","sequence":"additional","affiliation":[{"name":"Weizmann Institute of Science"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"name":"Twenty-Sixth International Joint Conference on Artificial Intelligence","theme":"Artificial Intelligence","location":"Melbourne, Australia","acronym":"IJCAI-2017","number":"26","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)","University of Technology Sydney (UTS)","Australian Computer Society (ACS)"],"start":{"date-parts":[[2017,8,19]]},"end":{"date-parts":[[2017,8,26]]}},"container-title":["Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T11:51:54Z","timestamp":1501242714000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2017\/28"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2017,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2017\/28","relation":{},"subject":[],"published":{"date-parts":[[2017,8]]}}}