{"id":"https://openalex.org/W4412377065","doi":"https://doi.org/10.1145/3726302.3730179","title":"Document Similarity Enhanced IPS Estimation for Unbiased Learning to Rank","display_name":"Document Similarity Enhanced IPS Estimation for Unbiased Learning to Rank","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412377065","doi":"https://doi.org/10.1145/3726302.3730179"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3730179","doi":"https://doi.org/10.1145/3726302.3730179","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730179","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730179","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730179","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118899241","display_name":"Zeming Liang","orcid":"https://orcid.org/0009-0007-9759-6910","observed_orcids":["https://orcid.org/0009-0007-9759-6910"]},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zeyan Liang","raw_affiliation_strings":["University of Glasgow, Glasgow, Scotland, UK"],"raw_orcid":"https://orcid.org/0009-0007-9759-6910","affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, Scotland, UK","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063436649","display_name":"Graham McDonald","orcid":"https://orcid.org/0000-0002-1266-5996","observed_orcids":["https://orcid.org/0000-0002-1266-5996"]},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Graham McDonald","raw_affiliation_strings":["University of Glasgow, Glasgow, Scotland, UK"],"raw_orcid":"https://orcid.org/0000-0002-1266-5996","affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, Scotland, UK","institution_ids":["https://openalex.org/I7882870"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079046603","display_name":"Iadh Ounis","orcid":"https://orcid.org/0000-0003-4701-3223","observed_orcids":["https://orcid.org/0000-0003-4701-3223"]},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Iadh Ounis","raw_affiliation_strings":["University of Glasgow, Glasgow, Scotland, UK"],"raw_orcid":"https://orcid.org/0000-0003-4701-3223","affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, Scotland, UK","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I7882870"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14685128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2916","last_page":"2920"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9775000214576721,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9775000214576721,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.021299999207258224,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.00019999999494757503,"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/learning-to-rank","display_name":"learning to rank","score":0.9700000286102295},{"id":"https://openalex.org/keywords/inverse-propensity-scoring","display_name":"inverse propensity scoring","score":0.9139999747276306},{"id":"https://openalex.org/keywords/position-bias","display_name":"position bias","score":0.9660000205039978},{"id":"https://openalex.org/keywords/document-similarity","display_name":"document similarity","score":0.9070000052452087},{"id":"https://openalex.org/keywords/doubly-robust-estimation","display_name":"doubly robust estimation","score":0.7250000238418579},{"id":"https://openalex.org/keywords/ndcg","display_name":"NDCG","score":0.718999981880188}],"concepts":[{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.6716190576553345},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6225317120552063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6170579791069031},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5359829664230347},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5058690905570984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39959150552749634},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.367630273103714},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3655376434326172},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3227759003639221},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23390331864356995},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.18239754438400269},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1311066746711731},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/3726302.3730179","doi":"https://doi.org/10.1145/3726302.3730179","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730179","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730179","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.gla.ac.uk:353838","doi":null,"is_oa":true,"landing_page_url":"https://eprints.gla.ac.uk/view/author/72213.html>,","pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"listed_in":["doaj"],"host_organization":"https://openalex.org/I4405259220","host_organization_name":"Institut Agama Islam Negeri Langsa","host_organization_lineage":["https://openalex.org/I4405259220"],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"Conference Proceedings"},{"id":"pmh:oai:arXiv.org:2507.07909","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2507.07909","pdf_url":"https://arxiv.org/pdf/2507.07909","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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"},{"id":"doi:10.48550/arxiv.2507.07909","doi":"https://doi.org/10.48550/arxiv.2507.07909","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.07909","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1145/3726302.3730179","doi":"https://doi.org/10.1145/3726302.3730179","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3730179","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3730179","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"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 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412377065.pdf","grobid_xml":"https://content.openalex.org/works/W4412377065.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W8870360","https://openalex.org/W1974360117","https://openalex.org/W1992549066","https://openalex.org/W2020631728","https://openalex.org/W2047221353","https://openalex.org/W2069870183","https://openalex.org/W2155587858","https://openalex.org/W2157462866","https://openalex.org/W2340526403","https://openalex.org/W2507134384","https://openalex.org/W2566147423","https://openalex.org/W2797400361","https://openalex.org/W2800394774","https://openalex.org/W2911802745","https://openalex.org/W2955421345","https://openalex.org/W2997842202","https://openalex.org/W3004511899","https://openalex.org/W3028135017","https://openalex.org/W3041564249","https://openalex.org/W3083159507","https://openalex.org/W3115087172","https://openalex.org/W3130740428","https://openalex.org/W3155690528","https://openalex.org/W3176183162","https://openalex.org/W4214907476","https://openalex.org/W4288079518","https://openalex.org/W4292433389","https://openalex.org/W4307539157"],"related_works":["https://openalex.org/W2112835755","https://openalex.org/W4291951920","https://openalex.org/W2576994247","https://openalex.org/W2608353378","https://openalex.org/W2349674371","https://openalex.org/W2772359885","https://openalex.org/W2899331914","https://openalex.org/W3011471740","https://openalex.org/W2954428433","https://openalex.org/W2572315477"],"abstract_inverted_index":{"Learning":[0],"to":[1,26,34,70,92,109,116,127,149,243],"Rank":[2],"(LTR)":[3],"models":[4],"learn":[5],"from":[6,51,248],"historical":[7,75],"user":[8,12,181],"interactions,":[9],"such":[10],"as":[11],"clicks.":[13,190],"However,":[14],"there":[15],"is":[16,198],"an":[17,147,208],"inherent":[18],"bias":[19,44],"in":[20,73,213,238],"the":[21,52,55,66,71,74,122,139,157,202,244,249],"clicks":[22,68],"of":[23,124,141,159,179,188,240],"users":[24,30],"due":[25],"position":[27,72,142],"bias,":[28],"i.e.,":[29],"are":[31,89,107,113],"more":[32,136,199],"likely":[33,91,115],"click":[35,57,182],"highly-ranked":[36,110],"documents":[37,88,105,112,126,131,160],"than":[38,201],"low-ranked":[39,87,104,125],"documents.":[40],"To":[41],"address":[42],"this":[43,99],"when":[45,82,132,161,216,222],"training":[46,189],"LTR":[47,174,210],"models,":[48],"many":[49],"approaches":[50],"literature":[53],"re-weight":[54],"users'":[56],"data":[58],"using":[59,169],"Inverse":[60],"Propensity":[61],"Scoring":[62],"(IPS).":[63],"IPS":[64,134,204],"re-weights":[65],"user's":[67],"proportionately":[69],"ranking":[76],"that":[77,103,106,153,194],"a":[78,96,177,230],"document":[79],"was":[80,84],"placed":[81],"it":[83],"clicked":[85],"since":[86],"less":[90],"be":[93,117],"seen":[94],"by":[95],"user.":[97],"In":[98],"paper,":[100],"we":[101,145],"argue":[102],"similar":[108],"relevant":[111,130],"also":[114],"relevant.":[118],"Moreover,":[119],"accounting":[120],"for":[121,206],"similarity":[123,158],"highly":[128],"ranked":[129],"calculating":[133],"can":[135],"effectively":[137],"mitigate":[138],"effects":[140],"bias.":[143],"Therefore,":[144],"propose":[146],"extension":[148],"IPS,":[150],"called":[151],"IPSsim,":[152],"takes":[154],"into":[155],"consideration":[156],"estimating":[162],"IPS.":[163],"We":[164],"evaluate":[165],"our":[166,195,226],"IPSsim":[167,196,227],"estimator":[168,197,228,247],"two":[170],"large":[171],"publicly":[172],"available":[173],"datasets":[175],"under":[176],"number":[178],"simulated":[180],"settings,":[183],"and":[184],"with":[185],"different":[186],"numbers":[187],"Our":[191],"experiments":[192],"show":[193],"effective":[200],"existing":[203],"estimators":[205],"learning":[207],"unbiased":[209],"model,":[211],"particularly":[212],"top-n":[214],"settings":[215],"n":[217,223],">=":[218],"30.":[219],"For":[220],"example,":[221],"=":[224],"50,":[225],"achieves":[229],"statistically":[231],"significant":[232],"~3%":[233],"improvement":[234],"(p":[235],"<":[236],"0.05)":[237],"terms":[239],"NDCG":[241],"compared":[242],"Doubly":[245],"Robust":[246],"literature.":[250]},"counts_by_year":[],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}