{"id":"https://openalex.org/W2115389155","doi":"https://doi.org/10.1145/1277741.1277804","title":"On the robustness of relevance measures with incomplete judgments","display_name":"On the robustness of relevance measures with incomplete judgments","publication_year":2007,"publication_date":"2007-07-23","ids":{"openalex":"https://openalex.org/W2115389155","doi":"https://doi.org/10.1145/1277741.1277804","mag":"2115389155"},"language":"en","primary_location":{"id":"doi:10.1145/1277741.1277804","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","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/A5035117850","display_name":"Tanuja Bompada","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tanuja Bompada","raw_affiliation_strings":["Yahoo!, Sunnyvale, CA"],"affiliations":[{"raw_affiliation_string":"Yahoo!, Sunnyvale, CA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108527908","display_name":"Chi-Chao Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chi-Chao Chang","raw_affiliation_strings":["Yahoo!, Sunnyvale, CA"],"affiliations":[{"raw_affiliation_string":"Yahoo!, Sunnyvale, CA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101650717","display_name":"John Chen","orcid":"https://orcid.org/0000-0002-9443-4795"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Chen","raw_affiliation_strings":["Yahoo!, Sunnyvale, CA"],"affiliations":[{"raw_affiliation_string":"Yahoo!, Sunnyvale, CA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107809381","display_name":"Ravi Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ravi Kumar","raw_affiliation_strings":["Yahoo!, Sunnyvale, CA"],"affiliations":[{"raw_affiliation_string":"Yahoo!, Sunnyvale, CA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006408976","display_name":"Rajesh Shenoy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rajesh Shenoy","raw_affiliation_strings":["Yahoo!, Sunnyvale, CA"],"affiliations":[{"raw_affiliation_string":"Yahoo!, Sunnyvale, CA","institution_ids":["https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5035117850"],"corresponding_institution_ids":["https://openalex.org/I4210134091"],"apc_list":null,"apc_paid":null,"fwci":9.4945,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.97591633,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"359","last_page":"366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9943000078201294,"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":0.9943000078201294,"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/T11106","display_name":"Data Management and Algorithms","score":0.9819999933242798,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.9718000292778015,"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/robustness","display_name":"Robustness (evolution)","score":0.817542314529419},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.8026266098022461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6143704652786255},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5991328954696655},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5151199698448181},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.47590145468711853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41195085644721985},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39217495918273926},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35832127928733826},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.35812634229660034},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3442400097846985},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3412085473537445},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.11348128318786621}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.817542314529419},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8026266098022461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6143704652786255},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5991328954696655},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5151199698448181},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.47590145468711853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41195085644721985},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39217495918273926},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35832127928733826},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35812634229660034},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3442400097846985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3412085473537445},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.11348128318786621},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1277741.1277804","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1277741.1277804","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1507150160","https://openalex.org/W1554394657","https://openalex.org/W1566730435","https://openalex.org/W1660390307","https://openalex.org/W1967879792","https://openalex.org/W2009954908","https://openalex.org/W2015338694","https://openalex.org/W2053584122","https://openalex.org/W2060487963","https://openalex.org/W2069870183","https://openalex.org/W2073722401","https://openalex.org/W2075893676","https://openalex.org/W2077046902","https://openalex.org/W2107402734","https://openalex.org/W2109244020","https://openalex.org/W2152314154","https://openalex.org/W4233760227","https://openalex.org/W4252684946","https://openalex.org/W6637101025"],"related_works":["https://openalex.org/W2954428433","https://openalex.org/W2135645798","https://openalex.org/W3108236160","https://openalex.org/W2899594763","https://openalex.org/W3014881390","https://openalex.org/W3034790688","https://openalex.org/W3090944279","https://openalex.org/W1604381474","https://openalex.org/W4281736527","https://openalex.org/W2998160854"],"abstract_inverted_index":{"We":[0],"investigate":[1],"the":[2,24,33,45,94,107],"robustness":[3],"of":[4,83,85,111],"three":[5],"widely":[6],"used":[7],"IR":[8],"relevance":[9,19],"measures":[10,20,97],"for":[11],"large":[12],"data":[13],"collections":[14],"with":[15],"incomplete":[16],"judgments.":[17],"The":[18,72],"we":[21],"consider":[22],"are":[23,74],"bpref":[25,69],"measure":[26,51],"introduced":[27,38,52],"by":[28,39,53],"Buckley":[29],"and":[30,41,44,55,70,87,102],"Voorhees":[31],"[7],":[32],"inferred":[34],"average":[35],"precision":[36],"(infAP)":[37],"Aslam":[40],"Yilmaz":[42],"[4],":[43],"normalized":[46],"discounted":[47],"cumulative":[48],"gain":[49],"(NDCG)":[50],"J\u00e4rvelin":[54],"Kek\u00e4l\u00e4inen":[56],"[8].":[57],"Our":[58],"main":[59],"results":[60],"show":[61],"that":[62],"NDCG":[63],"consistently":[64],"performs":[65],"better":[66],"than":[67],"both":[68],"infAP.":[71],"experiments":[73],"performed":[75],"on":[76],"standard":[77],"TREC":[78],"datasets,":[79],"under":[80],"different":[81,90],"levels":[82],"incompleteness":[84],"judgments,":[86],"using":[88],"two":[89],"evaluation":[91],"methods,":[92],"namely,":[93],"Kendall":[95],"correlation":[96],"order":[98],"between":[99],"system":[100],"rankings":[101],"pairwise":[103],"statistical":[104],"significance":[105],"testing;":[106],"latter":[108],"may":[109],"be":[110],"independent":[112],"interest.":[113]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
