{"id":"https://openalex.org/W4392384619","doi":"https://doi.org/10.1145/3616855.3635819","title":"Ranking with Long-Term Constraints","display_name":"Ranking with Long-Term Constraints","publication_year":2024,"publication_date":"2024-03-04","ids":{"openalex":"https://openalex.org/W4392384619","doi":"https://doi.org/10.1145/3616855.3635819"},"language":"en","primary_location":{"id":"doi:10.1145/3616855.3635819","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3616855.3635819","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3616855.3635819","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3616855.3635819","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022968100","display_name":"Kiant\u00e9 Brantley","orcid":"https://orcid.org/0000-0002-8395-594X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kiant\u00e9 Brantley","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-8395-594X","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011429708","display_name":"Zhichong Fang","orcid":"https://orcid.org/0000-0002-1599-4517"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhichong Fang","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-1599-4517","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029554720","display_name":"Sarah Dean","orcid":"https://orcid.org/0000-0002-5614-3532"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah Dean","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0002-5614-3532","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014687727","display_name":"Thorsten Joachims","orcid":"https://orcid.org/0000-0003-3654-3683"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thorsten Joachims","raw_affiliation_strings":["Cornell University, Ithaca, NY, USA"],"raw_orcid":"https://orcid.org/0000-0003-3654-3683","affiliations":[{"raw_affiliation_string":"Cornell University, Ithaca, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I205783295"],"apc_list":null,"apc_paid":null,"fwci":0.4235,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61079922,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"47","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9990000128746033,"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/T11182","display_name":"Auction Theory and Applications","score":0.9988999962806702,"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":0.9932000041007996,"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/computer-science","display_name":"Computer science","score":0.7600290179252625},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.7367821335792542},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7139589190483093},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.5476540327072144},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5140334367752075},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.47808337211608887},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4486798644065857},{"id":"https://openalex.org/keywords/sustainability","display_name":"Sustainability","score":0.42228174209594727},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34484216570854187},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28530001640319824},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.09675228595733643}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7600290179252625},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7367821335792542},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7139589190483093},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.5476540327072144},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5140334367752075},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.47808337211608887},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4486798644065857},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.42228174209594727},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34484216570854187},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28530001640319824},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.09675228595733643},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3616855.3635819","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3616855.3635819","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3616855.3635819","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3616855.3635819","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3616855.3635819","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3616855.3635819","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G416409292","display_name":"Collaborative Research: AF: Medium: Machine Learning Markets: Dynamics, Competition, and Interventions","funder_award_id":"2312774","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5410816779","display_name":null,"funder_award_id":"IIS-2008139","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G582700959","display_name":null,"funder_award_id":"IIS-2312865, IIS-2008139, CCF 2312774","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G6797014441","display_name":"III: Small: Fairness and Control of Exposure in Ranking","funder_award_id":"2008139","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8906553178","display_name":"Collaborative Research: III: Medium: Designing AI Systems with Steerable Long-Term Dynamics","funder_award_id":"2312865","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392384619.pdf","grobid_xml":"https://content.openalex.org/works/W4392384619.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1763790326","https://openalex.org/W1777239053","https://openalex.org/W1965002555","https://openalex.org/W1995324081","https://openalex.org/W2029523065","https://openalex.org/W2069870183","https://openalex.org/W2074380434","https://openalex.org/W2097422766","https://openalex.org/W2154058875","https://openalex.org/W2290203315","https://openalex.org/W2507134384","https://openalex.org/W2704480242","https://openalex.org/W2749680651","https://openalex.org/W2754517384","https://openalex.org/W2787991113","https://openalex.org/W2788376840","https://openalex.org/W2908826212","https://openalex.org/W2945611146","https://openalex.org/W3028722847","https://openalex.org/W3094546485","https://openalex.org/W3099947523","https://openalex.org/W3101243714","https://openalex.org/W3102092462","https://openalex.org/W3102518922","https://openalex.org/W3105035347","https://openalex.org/W3116873649","https://openalex.org/W3123348991","https://openalex.org/W3156242690","https://openalex.org/W3165436200","https://openalex.org/W4283156235","https://openalex.org/W4292423901","https://openalex.org/W4379527413"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W790944756"],"abstract_inverted_index":{"The":[0],"feedback":[1],"that":[2,105,164],"users":[3],"provide":[4,113,166],"through":[5],"their":[6],"choices":[7],"(e.g.,":[8,74,89],"clicks,":[9],"purchases)":[10],"is":[11],"one":[12],"of":[13,18,46,86,100,144],"the":[14,43,47,50,84,87,98,123,129,140,145,149,173],"most":[15],"common":[16],"types":[17],"data":[19,35],"readily":[20],"available":[21],"for":[22,83],"training":[23,30],"search":[24],"and":[25,49,58,111,154,172],"recommendation":[26],"algorithms.":[27],"However,":[28],"myopically":[29],"systems":[31],"based":[32],"on":[33,136,151],"choice":[34],"may":[36],"only":[37],"improve":[38],"short-term":[39,137],"engagement,":[40],"but":[41],"not":[42],"long-term":[44,51,81,131],"sustainability":[45],"platform":[48,75,88],"benefits":[52],"to":[53,117,127,175],"its":[54],"users,":[55],"content":[56],"providers,":[57],"other":[59],"stakeholders.":[60],"In":[61,121],"this":[62],"paper,":[63],"we":[64,112,147,162],"thus":[65],"develop":[66],"a":[67],"new":[68,114],"framework":[69],"in":[70,169],"which":[71],"decision":[72],"makers":[73],"operators,":[76],"regulators,":[77],"users)":[78],"can":[79],"express":[80],"goals":[82,96,132],"behavior":[85],"fairness,":[90],"revenue":[91],"distribution,":[92],"legal":[93],"requirements).":[94],"These":[95],"take":[97],"form":[99],"exposure":[101],"or":[102],"impact":[103,135],"targets":[104],"go":[106],"well":[107],"beyond":[108],"individual":[109],"sessions,":[110],"control-based":[115],"algorithms":[116,150],"achieve":[118,128],"these":[119],"goals.":[120],"particular,":[122],"controllers":[124,159],"are":[125],"designed":[126],"stated":[130],"with":[133],"minimum":[134],"engagement.":[138],"Beyond":[139],"principled":[141],"theoretical":[142],"derivation":[143],"controllers,":[146],"evaluate":[148],"both":[152],"synthetic":[153],"real-world":[155],"data.":[156],"While":[157],"all":[158],"perform":[160],"well,":[161],"find":[163],"they":[165],"interesting":[167],"trade-offs":[168],"efficiency,":[170],"robustness,":[171],"ability":[174],"plan":[176],"ahead.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}