{"id":"https://openalex.org/W3094590156","doi":"https://doi.org/10.1145/3340531.3412144","title":"Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision","display_name":"Bridging the Gap between Click and Relevance for Learning-to-Rank with Minimal Supervision","publication_year":2020,"publication_date":"2020-10-19","ids":{"openalex":"https://openalex.org/W3094590156","doi":"https://doi.org/10.1145/3340531.3412144","mag":"3094590156"},"language":"en","primary_location":{"id":"doi:10.1145/3340531.3412144","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5004961000","display_name":"Jae-woong Lee","orcid":"https://orcid.org/0000-0003-3755-7112"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Jae-woong Lee","raw_affiliation_strings":["Sungkyunkwan University, Suwon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028145173","display_name":"Young-In Song","orcid":"https://orcid.org/0000-0003-0669-005X"},"institutions":[{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-In Song","raw_affiliation_strings":["Naver Corp., Seongnam, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Naver Corp., Seongnam, Republic of Korea","institution_ids":["https://openalex.org/I60922564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012085778","display_name":"Deokmin Haam","orcid":null},"institutions":[{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Deokmin Haam","raw_affiliation_strings":["Naver Corp., Seongnam, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Naver Corp., Seongnam, Republic of Korea","institution_ids":["https://openalex.org/I60922564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100320210","display_name":"Sang-Hoon Lee","orcid":"https://orcid.org/0000-0002-9693-6633"},"institutions":[{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sanghoon Lee","raw_affiliation_strings":["Naver Corp., Seongnam, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Naver Corp., Seongnam, Republic of Korea","institution_ids":["https://openalex.org/I60922564"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028505520","display_name":"Woo-sik Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I60922564","display_name":"Naver (South Korea)","ror":"https://ror.org/04nzrnx83","country_code":"KR","type":"company","lineage":["https://openalex.org/I60922564"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woo-sik Choi","raw_affiliation_strings":["Naver Corp., Seongnam, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Naver Corp., Seongnam, Republic of Korea","institution_ids":["https://openalex.org/I60922564"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065423554","display_name":"Jongwuk Lee","orcid":"https://orcid.org/0000-0001-9213-7706"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongwuk Lee","raw_affiliation_strings":["Sungkyunkwan University, Suwon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Sungkyunkwan University, Suwon, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5004961000"],"corresponding_institution_ids":["https://openalex.org/I848706"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.55541258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2109","last_page":"2112"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.995199978351593,"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"}},"topics":[{"id":"https://openalex.org/T12072","display_name":"Machine Learning and Algorithms","score":0.995199978351593,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9898999929428101,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.7547112703323364},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7427443861961365},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5944004058837891},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.579658567905426},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5045431852340698},{"id":"https://openalex.org/keywords/bridging","display_name":"Bridging (networking)","score":0.47998902201652527},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4624019265174866},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45284876227378845},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.4376249313354492},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3765454590320587},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37424561381340027},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.15680217742919922},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12454411387443542}],"concepts":[{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.7547112703323364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7427443861961365},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5944004058837891},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.579658567905426},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5045431852340698},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.47998902201652527},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4624019265174866},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45284876227378845},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.4376249313354492},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3765454590320587},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37424561381340027},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15680217742919922},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12454411387443542},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3340531.3412144","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340531.3412144","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Information & Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1973435495","https://openalex.org/W2035720976","https://openalex.org/W2047221353","https://openalex.org/W2099213975","https://openalex.org/W2115584760","https://openalex.org/W2152314154","https://openalex.org/W2155587858","https://openalex.org/W2340526403","https://openalex.org/W2507134384","https://openalex.org/W2768348081","https://openalex.org/W2769473018","https://openalex.org/W2797400361","https://openalex.org/W2891508226","https://openalex.org/W2912255075","https://openalex.org/W4300415226"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W3160516639","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W4390446658","https://openalex.org/W2971071571","https://openalex.org/W2798835721","https://openalex.org/W2922169395","https://openalex.org/W2387658907"],"abstract_inverted_index":{"Recently,":[0],"unbiased":[1,93,148],"learning-to-rank":[2,149],"models":[3,146,150],"have":[4],"been":[5],"widely":[6],"studied":[7],"to":[8,32,71,84,107,109],"learn":[9,110],"a":[10,34,42,47,61,81,111,126,158],"better":[11],"ranker":[12],"by":[13],"eliminating":[14],"the":[15,29,55,68,73,86,121,152],"biases":[16],"from":[17,38,75,157],"click":[18,39,58,76,90,102,145,154],"data.":[19,40,77],"Toward":[20],"this":[21],"goal,":[22],"existing":[23],"work":[24],"mainly":[25],"focused":[26],"on":[27,151],"estimating":[28],"propensity":[30,69],"weight":[31,70],"design":[33],"specific":[35],"bias":[36,74],"type":[37],"From":[41],"different":[43],"perspective,":[44],"we":[45,96],"propose":[46],"simple-yet-effective":[48],"ranking":[49],"model,":[50],"namely":[51],"wLambdaMART,":[52],"which":[53],"estimates":[54],"confidence":[56,82,98,122],"of":[57,66],"data":[59,91,103],"with":[60],"few":[62,127],"labeled":[63,128],"data,":[64,129],"instead":[65],"learning":[67,120],"reduce":[72],"We":[78],"first":[79],"train":[80],"estimator":[83,123],"bridge":[85],"gap":[87],"between":[88],"biased":[89],"and":[92,104,147],"relevance.":[94],"Then,":[95],"infer":[97],"weights":[99],"for":[100],"all":[101],"apply":[105],"them":[106],"LambdaMART":[108],"debiased":[112],"ranker.":[113],"Practically,":[114],"since":[115],"it":[116,130],"is":[117],"found":[118],"that":[119,141],"only":[124],"requires":[125],"does":[131],"not":[132],"incur":[133],"high":[134],"labeling":[135],"costs.":[136],"Our":[137],"experimental":[138],"results":[139],"show":[140],"wLambdaMART":[142],"outperforms":[143],"state-of-the-art":[144],"real-world":[153],"datasets":[155],"collected":[156],"commercial":[159],"search":[160],"engine.":[161]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}