{"id":"https://openalex.org/W1238745702","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-057","title":"Budgeted social choice: from consensus to personalized decision making","display_name":"Budgeted social choice: from consensus to personalized decision making","publication_year":2011,"publication_date":"2011-07-16","ids":{"openalex":"https://openalex.org/W1238745702","doi":"https://doi.org/10.5591/978-1-57735-516-8/ijcai11-057","mag":"1238745702"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.208.3104","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.3104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ijcai.org/papers11/Papers/IJCAI11-057.pdf","raw_type":"text"},"type":"article","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086690493","display_name":"Tyler Lu","orcid":"https://orcid.org/0000-0002-7433-8421"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tyler Lu","raw_affiliation_strings":["University of Toronto, Department of Computer Science"],"raw_orcid":"https://orcid.org/0000-0002-7433-8421","affiliations":[{"raw_affiliation_string":"University of Toronto, Department of Computer Science","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036934218","display_name":"Craig Boutilier","orcid":"https://orcid.org/0000-0001-9330-4545"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Craig Boutilier","raw_affiliation_strings":["University of Toronto, Department of Computer Science"],"raw_orcid":"https://orcid.org/0000-0001-9330-4545","affiliations":[{"raw_affiliation_string":"University of Toronto, Department of Computer Science","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":27.8687,"has_fulltext":false,"cited_by_count":211,"citation_normalized_percentile":{"value":0.99447518,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"280","last_page":"286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10991","display_name":"Game Theory and Voting Systems","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9933000206947327,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9836999773979187,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/social-choice-theory","display_name":"Social choice theory","score":0.7212050557136536},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6688910722732544},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5852925777435303},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.579615592956543},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.5199300646781921},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5081367492675781},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4663960337638855},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.4553062319755554},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4030066728591919},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3900723457336426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3516634702682495},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.16866350173950195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1411038041114807},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.13262620568275452}],"concepts":[{"id":"https://openalex.org/C189352744","wikidata":"https://www.wikidata.org/wiki/Q1971461","display_name":"Social choice theory","level":2,"score":0.7212050557136536},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6688910722732544},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5852925777435303},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.579615592956543},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.5199300646781921},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5081367492675781},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4663960337638855},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4553062319755554},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4030066728591919},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3900723457336426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3516634702682495},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.16866350173950195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1411038041114807},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.13262620568275452},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.208.3104","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.3104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ijcai.org/papers11/Papers/IJCAI11-057.pdf","raw_type":"text"},{"id":"mag:1238745702","is_oa":false,"landing_page_url":"https://ijcai.org/papers11/Papers/IJCAI11-057.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306419999","display_name":"International Joint Conference on Artificial Intelligence","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"International Joint Conference on Artificial Intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W99643971","https://openalex.org/W1590250213","https://openalex.org/W1680189815","https://openalex.org/W1976913854","https://openalex.org/W2013372570","https://openalex.org/W2026411617","https://openalex.org/W2043278166","https://openalex.org/W2051834357","https://openalex.org/W2065487600","https://openalex.org/W2080379754","https://openalex.org/W2102705755","https://openalex.org/W2104039799","https://openalex.org/W2107392942","https://openalex.org/W2108762162","https://openalex.org/W2110362180","https://openalex.org/W2131891143","https://openalex.org/W2141733469","https://openalex.org/W2293218619","https://openalex.org/W2318031348","https://openalex.org/W2322270235","https://openalex.org/W2620598837","https://openalex.org/W2963755303","https://openalex.org/W3101685505","https://openalex.org/W3118655244"],"related_works":["https://openalex.org/W967083285","https://openalex.org/W3137712949","https://openalex.org/W3099446300","https://openalex.org/W2322270235","https://openalex.org/W2168205737","https://openalex.org/W2131891143","https://openalex.org/W2047846903","https://openalex.org/W1696166066","https://openalex.org/W2011039300","https://openalex.org/W1666585835","https://openalex.org/W1575960470","https://openalex.org/W2972175238","https://openalex.org/W1680189815","https://openalex.org/W6335828","https://openalex.org/W2126893170","https://openalex.org/W1976913854","https://openalex.org/W1517036688","https://openalex.org/W1636551341","https://openalex.org/W2110060186","https://openalex.org/W2051834357"],"abstract_inverted_index":{"We":[0,90],"develop":[1,109],"a":[2,11,34,42,66],"general":[3],"framework":[4],"for":[5],"social":[6,26,57,71],"choice":[7,27,72],"problems":[8,37],"in":[9,41,102],"which":[10],"limited":[12],"number":[13],"of":[14,44,68,77,124],"alternatives":[15],"can":[16],"be":[17],"recommended":[18],"to":[19,59,70,81],"an":[20],"agent":[21,83],"population.":[22],"In":[23],"our":[24,103,125],"budgeted":[25],"model,":[28],"this":[29],"limit":[30],"is":[31,105],"determined":[32],"by":[33],"budget,":[35],"capturing":[36],"that":[38,92,100],"arise":[39],"naturally":[40],"variety":[43],"contexts,":[45],"and":[46,99],"spanning":[47],"the":[48,75,122],"continuum":[49],"from":[50],"pure":[51],"consensus":[52],"decision":[53],"making":[54],"(i.e.,":[55],"standard":[56,93],"choice)":[58],"fully":[60],"personalized":[61],"recommendation.":[62],"Our":[63],"approach":[64],"applies":[65],"form":[67],"segmentation":[69],"problems\u2014":[73],"requiring":[74],"selection":[76],"diverse":[78],"options":[79],"tailored":[80],"different":[82],"types\u2014and":[84],"generalizes":[85],"certain":[86],"multi-winner":[87],"election":[88],"schemes.":[89],"show":[91],"rank":[94],"aggregation":[95],"methods":[96],"perform":[97],"poorly,":[98],"optimization":[101],"model":[104],"NP-complete;":[106],"but":[107],"we":[108],"fast":[110],"greedy":[111],"algorithms":[112],"with":[113],"some":[114],"theoretical":[115],"guarantees.":[116],"Experiments":[117],"on":[118],"real-world":[119],"datasets":[120],"demonstrate":[121],"effectiveness":[123],"algorithms.":[126]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":20},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":23},{"year":2017,"cited_by_count":34},{"year":2016,"cited_by_count":21},{"year":2015,"cited_by_count":24},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":14},{"year":2012,"cited_by_count":5}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}