{"id":"https://openalex.org/W3035278698","doi":"https://doi.org/10.1145/3397271.3401115","title":"Good Evaluation Measures based on Document Preferences","display_name":"Good Evaluation Measures based on Document Preferences","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3035278698","doi":"https://doi.org/10.1145/3397271.3401115","mag":"3035278698"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401115","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd 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/A5023595778","display_name":"Tetsuya Sakai","orcid":"https://orcid.org/0000-0002-6720-963X"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Tetsuya Sakai","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074501708","display_name":"Zhaohao Zeng","orcid":"https://orcid.org/0000-0002-9275-8526"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Zhaohao Zeng","raw_affiliation_strings":["Waseda University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Tokyo, Japan","institution_ids":["https://openalex.org/I150744194"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023595778"],"corresponding_institution_ids":["https://openalex.org/I150744194"],"apc_list":null,"apc_paid":null,"fwci":3.2028,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.9324446,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"359","last_page":"368"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9998000264167786,"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":0.9998000264167786,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.998199999332428,"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":0.9958000183105469,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8283336162567139},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.7271836400032043},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7103014588356018},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6794263124465942},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6371933221817017},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6286432147026062},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4966431260108948},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.22942695021629333},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20778319239616394},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11986270546913147},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1140393614768982},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.07281890511512756}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8283336162567139},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.7271836400032043},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7103014588356018},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6794263124465942},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6371933221817017},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6286432147026062},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4966431260108948},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.22942695021629333},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20778319239616394},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11986270546913147},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1140393614768982},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.07281890511512756},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3397271.3401115","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401115","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1592933613","https://openalex.org/W1968927634","https://openalex.org/W1974360117","https://openalex.org/W1978658266","https://openalex.org/W1988619666","https://openalex.org/W1989344419","https://openalex.org/W2000289953","https://openalex.org/W2046166484","https://openalex.org/W2049878702","https://openalex.org/W2058624977","https://openalex.org/W2068098598","https://openalex.org/W2069870183","https://openalex.org/W2082776908","https://openalex.org/W2084567515","https://openalex.org/W2112329501","https://openalex.org/W2113640060","https://openalex.org/W2116008435","https://openalex.org/W2134366819","https://openalex.org/W2135645798","https://openalex.org/W2137274315","https://openalex.org/W2156186232","https://openalex.org/W2169783907","https://openalex.org/W2338216121","https://openalex.org/W2624553223","https://openalex.org/W2767432246","https://openalex.org/W2949364380","https://openalex.org/W2955792106","https://openalex.org/W3008748523","https://openalex.org/W3132995484","https://openalex.org/W4210764005","https://openalex.org/W4300175355","https://openalex.org/W4300410021","https://openalex.org/W6651962905","https://openalex.org/W6765590280"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2942366970","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W4205262062","https://openalex.org/W2002629668","https://openalex.org/W181477314"],"abstract_inverted_index":{"For":[0],"offline":[1],"evaluation":[2,40,210],"of":[3,17,20,60,98,119,132,146,207],"IR":[4,217],"systems,":[5],"some":[6],"researchers":[7],"have":[8,47,74,194],"proposed":[9],"to":[10,30,77,83],"utilise":[11],"pairwise":[12],"document":[13,155,166,189,201,208],"preference":[14],"assessments":[15,19],"instead":[16],"relevance":[18],"individual":[21],"documents,":[22],"as":[23,43,138,140],"it":[24],"may":[25,67],"be":[26,68,212],"easier":[27],"for":[28,65],"assessors":[29],"make":[31],"relative":[32],"decisions":[33],"rather":[34],"than":[35,177],"absolute":[36,88],"ones.":[37],"Simple":[38],"preference-based":[39,120],"measures":[41,73,85,121,124,134],"such":[42,61],"ppref":[44],"and":[45,125,152],"wpref":[46],"been":[48,75,105],"proposed,":[49],"but":[50,167],"the":[51,95,130,169,191,205,216],"past":[52],"decade":[53],"did":[54],"not":[55,168],"see":[56],"any":[57],"wide":[58],"use":[59],"measures.":[62],"One":[63],"reason":[64],"this":[66,112],"that,":[69],"while":[70],"these":[71,133],"new":[72],"reported":[76],"behave":[78],"more":[79,174],"or":[80],"less":[81],"similarly":[82],"traditional":[84],"based":[86],"on":[87],"assessments,":[89],"whether":[90],"they":[91],"actually":[92],"align":[93],"with":[94,148],"users'":[96,149],"perception":[97],"search":[99],"engine":[100],"result":[101],"pages":[102],"(SERPs)":[103],"has":[104],"unknown.":[106],"The":[107],"present":[108],"study":[109],"addresses":[110],"exactly":[111],"question,":[113],"after":[114],"formally":[115],"defining":[116],"two":[117],"classes":[118],"called":[122],"Pref":[123],"\u0394-measures.":[126],"We":[127,193],"show":[128],"that":[129,153,163,186,204],"best":[131],"perform":[135],"at":[136],"least":[137],"well":[139],"an":[141],"average":[142],"assessor":[143],"in":[144],"terms":[145],"agreement":[147],"SERP":[150,162,185],"preferences,":[151,202],"implicit":[154],"preferences":[156,179],"(i.e.,":[157,180],"those":[158,181],"suggested":[159,182],"by":[160,183,215],"a":[161,172,184],"retrieves":[164,187],"one":[165,188],"other)":[170],"play":[171],"much":[173],"important":[175],"role":[176],"explicit":[178],"above":[190],"other).":[192],"released":[195],"our":[196],"data":[197],"set":[198],"containing":[199],"119,646":[200],"so":[203],"feasibility":[206],"preferenced-based":[209],"can":[211],"further":[213],"pursued":[214],"community.":[218]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
