{"id":"https://openalex.org/W3133745687","doi":"https://doi.org/10.1145/3442381.3449972","title":"PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer","display_name":"PairRank: Online Pairwise Learning to Rank by Divide-and-Conquer","publication_year":2021,"publication_date":"2021-04-19","ids":{"openalex":"https://openalex.org/W3133745687","doi":"https://doi.org/10.1145/3442381.3449972","mag":"3133745687"},"language":"en","primary_location":{"id":"doi:10.1145/3442381.3449972","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449972","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3442381.3449972","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012522148","display_name":"Yiling Jia","orcid":"https://orcid.org/0000-0002-1334-609X"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yiling Jia","raw_affiliation_strings":["University of Virginia, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062299183","display_name":"Huazheng Wang","orcid":"https://orcid.org/0000-0003-3918-6925"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Huazheng Wang","raw_affiliation_strings":["University of Virginia, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079118288","display_name":"Stephen Guo","orcid":"https://orcid.org/0000-0001-5054-2850"},"institutions":[{"id":"https://openalex.org/I1330693074","display_name":"Walmart (United States)","ror":"https://ror.org/04j0gge90","country_code":"US","type":"company","lineage":["https://openalex.org/I1330693074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stephen Guo","raw_affiliation_strings":["WalmartLabs, USA"],"affiliations":[{"raw_affiliation_string":"WalmartLabs, USA","institution_ids":["https://openalex.org/I1330693074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085094109","display_name":"Hongning Wang","orcid":"https://orcid.org/0000-0002-6524-9195"},"institutions":[{"id":"https://openalex.org/I51556381","display_name":"University of Virginia","ror":"https://ror.org/0153tk833","country_code":"US","type":"education","lineage":["https://openalex.org/I51556381"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongning Wang","raw_affiliation_strings":["University of Virginia, USA"],"affiliations":[{"raw_affiliation_string":"University of Virginia, USA","institution_ids":["https://openalex.org/I51556381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5012522148"],"corresponding_institution_ids":["https://openalex.org/I51556381"],"apc_list":null,"apc_paid":null,"fwci":4.8255,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.95153192,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"146","last_page":"157"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9952999949455261,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/divide-and-conquer-algorithms","display_name":"Divide and conquer algorithms","score":0.9106151461601257},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7821213006973267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7242920398712158},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5199909806251526},{"id":"https://openalex.org/keywords/digital-divide","display_name":"Digital divide","score":0.49959754943847656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37989476323127747},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3427986204624176},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1870579719543457},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13761255145072937},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.1269836127758026},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08930343389511108},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.05899089574813843}],"concepts":[{"id":"https://openalex.org/C71559656","wikidata":"https://www.wikidata.org/wiki/Q671298","display_name":"Divide and conquer algorithms","level":2,"score":0.9106151461601257},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7821213006973267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7242920398712158},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5199909806251526},{"id":"https://openalex.org/C173655357","wikidata":"https://www.wikidata.org/wiki/Q244752","display_name":"Digital divide","level":3,"score":0.49959754943847656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37989476323127747},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3427986204624176},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1870579719543457},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13761255145072937},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.1269836127758026},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08930343389511108},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.05899089574813843}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3442381.3449972","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449972","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2103.00368","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2103.00368","pdf_url":"https://arxiv.org/pdf/2103.00368","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3442381.3449972","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3442381.3449972","pdf_url":null,"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 Web Conference 2021","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1530210183","https://openalex.org/W1578264931","https://openalex.org/W1900560890","https://openalex.org/W1974360117","https://openalex.org/W1982530130","https://openalex.org/W1984770088","https://openalex.org/W2003473029","https://openalex.org/W2009979684","https://openalex.org/W2023599408","https://openalex.org/W2032471123","https://openalex.org/W2047221353","https://openalex.org/W2058475745","https://openalex.org/W2106628583","https://openalex.org/W2106630408","https://openalex.org/W2115584760","https://openalex.org/W2119738618","https://openalex.org/W2125771191","https://openalex.org/W2152314154","https://openalex.org/W2154739689","https://openalex.org/W2160163723","https://openalex.org/W2259177609","https://openalex.org/W2279385734","https://openalex.org/W2443763917","https://openalex.org/W2507134384","https://openalex.org/W2535047536","https://openalex.org/W2767455847","https://openalex.org/W2784672094","https://openalex.org/W2798634418","https://openalex.org/W2806413455","https://openalex.org/W2807882795","https://openalex.org/W2878188201","https://openalex.org/W2884475480","https://openalex.org/W2890291106","https://openalex.org/W2895230854","https://openalex.org/W2898073868","https://openalex.org/W2948795993","https://openalex.org/W2951455820","https://openalex.org/W2954365962","https://openalex.org/W2962980921","https://openalex.org/W2964007796","https://openalex.org/W2964240248","https://openalex.org/W2965497096","https://openalex.org/W3034511923","https://openalex.org/W3040219874","https://openalex.org/W3103259151","https://openalex.org/W3103733168","https://openalex.org/W3104894801","https://openalex.org/W3105997200","https://openalex.org/W4241676240"],"related_works":["https://openalex.org/W2352794675","https://openalex.org/W1539994214","https://openalex.org/W2051228988","https://openalex.org/W4247094814","https://openalex.org/W108531593","https://openalex.org/W2487162673","https://openalex.org/W2111712077","https://openalex.org/W8810113","https://openalex.org/W2793211469","https://openalex.org/W129734479"],"abstract_inverted_index":{"Online":[0],"Learning":[1],"to":[2,35,50,55,69,127],"Rank":[3],"(OL2R)":[4],"eliminates":[5],"the":[6,15,23,70,74,85,96,105,132,135],"need":[7],"of":[8,88,98,120,134],"explicit":[9],"relevance":[10],"annotation":[11],"by":[12],"directly":[13,93],"optimizing":[14],"rankers":[16],"from":[17,29],"their":[18],"interactions":[19],"with":[20,110],"users.":[21],"However,":[22],"required":[24],"exploration":[25,80],"drives":[26],"it":[27],"away":[28],"successful":[30],"practices":[31],"in":[32],"offline":[33],"learning":[34,54,126],"rank,":[36],"which":[37,103],"limits":[38],"OL2R\u2019s":[39],"empirical":[40],"performance":[41],"and":[42,66,79],"practical":[43],"applicability.":[44],"In":[45,59],"this":[46],"work,":[47],"we":[48],"propose":[49],"estimate":[51],"a":[52],"pairwise":[53,76],"rank":[56,77,128],"model":[57],"online.":[58],"each":[60],"round,":[61],"candidate":[62],"documents":[63],"are":[64],"partitioned":[65],"ranked":[67],"according":[68],"model\u2019s":[71],"confidence":[72],"on":[73,84,95,123],"estimated":[75],"order,":[78],"is":[81,101],"only":[82],"performed":[83],"uncertain":[86],"pairs":[87,100],"documents,":[89],"i.e.,":[90],"divide-and-conquer.":[91],"Regret":[92],"defined":[94],"number":[97],"mis-ordered":[99],"proven,":[102],"connects":[104],"online":[106],"solution\u2019s":[107],"theoretical":[108],"convergence":[109],"its":[111],"expected":[112],"ranking":[113],"performance.":[114],"Comparisons":[115],"against":[116],"an":[117],"extensive":[118],"list":[119],"OL2R":[121],"baselines":[122],"two":[124],"public":[125],"benchmark":[129],"datasets":[130],"demonstrate":[131],"effectiveness":[133],"proposed":[136],"solution.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}