{"id":"https://openalex.org/W2051865822","doi":"https://doi.org/10.1145/2600428.2609542","title":"What makes data robust","display_name":"What makes data robust","publication_year":2014,"publication_date":"2014-07-03","ids":{"openalex":"https://openalex.org/W2051865822","doi":"https://doi.org/10.1145/2600428.2609542","mag":"2051865822"},"language":"en","primary_location":{"id":"doi:10.1145/2600428.2609542","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2600428.2609542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5067174475","display_name":"Shuzi Niu","orcid":"https://orcid.org/0000-0001-9648-1803"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuzi Niu","raw_affiliation_strings":["Institute of Computing Technology, CAS, Beijing, China","Institute of Computing Technology, CAS, Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101616866","display_name":"Yanyan Lan","orcid":"https://orcid.org/0000-0002-7811-3262"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Lan","raw_affiliation_strings":["Institute of Computing Technology, CAS, Beijing, China","Institute of Computing Technology, CAS, Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088621320","display_name":"Jiafeng Guo","orcid":"https://orcid.org/0000-0002-9509-8674"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiafeng Guo","raw_affiliation_strings":["Institute of Computing Technology, CAS, Beijing, China","Institute of Computing Technology, CAS, Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029998682","display_name":"Xueqi Cheng","orcid":"https://orcid.org/0000-0002-5201-8195"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueqi Cheng","raw_affiliation_strings":["Institute of Computing Technology, CAS, Beijing, China","Institute of Computing Technology, CAS, Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084564357","display_name":"Xiubo Geng","orcid":"https://orcid.org/0000-0001-6477-7933"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiubo Geng","raw_affiliation_strings":["Institute of Computing Technology, CAS, Beijing, China","Institute of Computing Technology, CAS, Beijing, China#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China","institution_ids":["https://openalex.org/I4210090176"]},{"raw_affiliation_string":"Institute of Computing Technology, CAS, Beijing, China#TAB#","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1191","last_page":"1194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9923999905586243,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9902999997138977,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7843518257141113},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.7801180481910706},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7310205101966858},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7116144895553589},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.6699641942977905},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.601169228553772},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5025510787963867},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4954437017440796},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46616843342781067},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4608551859855652},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40782296657562256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19537076354026794},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.08760467171669006},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07379329204559326}],"concepts":[{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7843518257141113},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.7801180481910706},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7310205101966858},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7116144895553589},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.6699641942977905},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.601169228553772},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5025510787963867},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4954437017440796},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46616843342781067},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4608551859855652},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40782296657562256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19537076354026794},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.08760467171669006},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07379329204559326}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2600428.2609542","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2600428.2609542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W88013650","https://openalex.org/W1666146316","https://openalex.org/W1975787960","https://openalex.org/W1979261905","https://openalex.org/W2005760119","https://openalex.org/W2007815473","https://openalex.org/W2008285050","https://openalex.org/W2047221353","https://openalex.org/W2053448995","https://openalex.org/W2093347820","https://openalex.org/W2094607109","https://openalex.org/W2100507040","https://openalex.org/W2108862644","https://openalex.org/W2125943921","https://openalex.org/W2137675680","https://openalex.org/W2142537246","https://openalex.org/W2153763032","https://openalex.org/W2160892561","https://openalex.org/W2161149720","https://openalex.org/W4211079572","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2011472225","https://openalex.org/W3000057026","https://openalex.org/W3048565508","https://openalex.org/W3163984363","https://openalex.org/W3127142483","https://openalex.org/W3160516639","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W4378713479"],"abstract_inverted_index":{"When":[0],"applying":[1],"learning":[2,103],"to":[3,41,58,81,104],"rank":[4,105],"algorithms":[5,38,106],"in":[6,11,128],"real":[7],"search":[8],"applications,":[9],"noise":[10,35,83,126,136,142],"human":[12],"labeled":[13],"training":[14,55,129],"data":[15,56,86,115],"becomes":[16],"an":[17,68],"inevitable":[18],"problem":[19],"which":[20],"will":[21],"affect":[22],"the":[23,26,91,133,149],"performance":[24,150],"of":[25,63,102,152],"algorithms.":[27,45],"Previous":[28],"work":[29,65],"mainly":[30],"focused":[31],"on":[32,98],"studying":[33],"how":[34,40],"affects":[36],"ranking":[37,44,74,154],"and":[39,108,111,119],"design":[42],"robust":[43,57],"In":[46],"our":[47,64],"work,":[48],"we":[49],"investigate":[50,90],"what":[51],"inherent":[52],"characteristics":[53],"make":[54],"label":[59,82,125],"noise.":[60],"The":[61],"motivation":[62],"comes":[66],"from":[67],"interesting":[69],"observation":[70,96],"that":[71,123,145],"a":[72,153],"same":[73],"algorithm":[75],"may":[76],"show":[77],"very":[78],"different":[79,85,113],"sensitivities":[80],"over":[84],"sets.":[87],"We":[88,121],"thus":[89],"underlying":[92],"reason":[93],"for":[94],"this":[95],"based":[97],"two":[99],"typical":[100],"kinds":[101],"(i.e.~pairwise":[107],"listwise":[109],"methods)":[110],"three":[112],"public":[114],"sets":[116],"(i.e.~OHSUMED,":[117],"TD2003":[118],"MSLR-WEB10K).":[120],"find":[122],"when":[124],"increases":[127],"data,":[130],"it":[131],"is":[132],"\\emph{document":[134,141],"pair":[135],"ratio}":[137,143],"(i.e.~\\emph{pNoise})":[138],"rather":[139],"than":[140],"(i.e.~\\emph{dNoise})":[144],"can":[146],"well":[147],"explain":[148],"degradation":[151],"algorithm.":[155]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":4}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}