{"id":"https://openalex.org/W3159852056","doi":"https://doi.org/10.1145/3451161","title":"Assessing Top- Preferences","display_name":"Assessing Top- Preferences","publication_year":2021,"publication_date":"2021-05-05","ids":{"openalex":"https://openalex.org/W3159852056","doi":"https://doi.org/10.1145/3451161","mag":"3159852056"},"language":"en","primary_location":{"id":"doi:10.1145/3451161","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3451161","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-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/A5037737168","display_name":"Charles L. A. Clarke","orcid":"https://orcid.org/0000-0001-8178-9194"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Charles L. A. Clarke","raw_affiliation_strings":["University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082095937","display_name":"Alexandra Vtyurina","orcid":null},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alexandra Vtyurina","raw_affiliation_strings":["University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049222552","display_name":"Mark D. Smucker","orcid":"https://orcid.org/0000-0003-4968-6405"},"institutions":[{"id":"https://openalex.org/I151746483","display_name":"University of Waterloo","ror":"https://ror.org/01aff2v68","country_code":"CA","type":"education","lineage":["https://openalex.org/I151746483"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mark D. Smucker","raw_affiliation_strings":["University of Waterloo, Waterloo, Canada"],"affiliations":[{"raw_affiliation_string":"University of Waterloo, Waterloo, Canada","institution_ids":["https://openalex.org/I151746483"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5037737168"],"corresponding_institution_ids":["https://openalex.org/I151746483"],"apc_list":null,"apc_paid":null,"fwci":4.687,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.94867343,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":"39","issue":"3","first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9901999831199646,"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/T12031","display_name":"Speech and dialogue systems","score":0.9814000129699707,"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/computer-science","display_name":"Computer science","score":0.8118192553520203},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.7206087112426758},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6793818473815918},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.5566170811653137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5186992883682251},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5124804973602295},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5099283456802368},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5063859224319458},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41617298126220703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4053202271461487},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3872937858104706},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2530699074268341},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.24964085221290588},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14697757363319397},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13038873672485352},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.08025574684143066}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8118192553520203},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.7206087112426758},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6793818473815918},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.5566170811653137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5186992883682251},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5124804973602295},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5099283456802368},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5063859224319458},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41617298126220703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4053202271461487},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3872937858104706},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2530699074268341},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.24964085221290588},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14697757363319397},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13038873672485352},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.08025574684143066},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3451161","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3451161","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1989344419","https://openalex.org/W2008285050","https://openalex.org/W2021581601","https://openalex.org/W2027198686","https://openalex.org/W2043457403","https://openalex.org/W2046166484","https://openalex.org/W2049878702","https://openalex.org/W2058896506","https://openalex.org/W2069870183","https://openalex.org/W2072112759","https://openalex.org/W2099204387","https://openalex.org/W2100767640","https://openalex.org/W2113640060","https://openalex.org/W2132232498","https://openalex.org/W2134366819","https://openalex.org/W2151592910","https://openalex.org/W2153150702","https://openalex.org/W2160457243","https://openalex.org/W2160892561","https://openalex.org/W2164545125","https://openalex.org/W2569307494","https://openalex.org/W2584777807","https://openalex.org/W2587627907","https://openalex.org/W2894164702","https://openalex.org/W2903058329","https://openalex.org/W2911966198","https://openalex.org/W2918008835","https://openalex.org/W2942187249","https://openalex.org/W2989328844","https://openalex.org/W3034858659","https://openalex.org/W3035278698","https://openalex.org/W3093924713","https://openalex.org/W3104055892","https://openalex.org/W3151947762","https://openalex.org/W4205480697","https://openalex.org/W4288280763","https://openalex.org/W4385688501"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W2886410948","https://openalex.org/W2772359885","https://openalex.org/W3011471740","https://openalex.org/W2884580467","https://openalex.org/W2572315477"],"abstract_inverted_index":{"Assessors":[0],"make":[1],"preference":[2,26,45,70],"judgments":[3,12,27,46],"faster":[4],"and":[5,41,77],"more":[6,30],"consistently":[7],"than":[8,31,86],"graded":[9,23,55],"judgments.":[10,24],"Preference":[11],"can":[13,28],"also":[14],"recognize":[15,159],"distinctions":[16],"between":[17],"items":[18,81],"that":[19,164],"appear":[20],"equivalent":[21],"under":[22],"Unfortunately,":[25],"require":[29],"linear":[32],"effort":[33],"to":[34,103,158],"fully":[35,87],"order":[36],"a":[37,97,109,135],"pool":[38],"of":[39,75,96,118],"items,":[40],"evaluation":[42],"measures":[43],"for":[44,54,68,125],"are":[47],"not":[48],"as":[49,52,58],"well":[50],"established":[51],"those":[53],"judgments,":[56,71],"such":[57],"NDCG.":[59,170],"In":[60],"this":[61,104,119],"article,":[62],"we":[63,99],"explore":[64],"the":[65,73,79,83,89,94,115,126],"assessment":[66],"process":[67],"partial":[69,123],"with":[72,134],"aim":[74],"identifying":[76],"ordering":[78,88,106],"top":[80],"in":[82,162],"pool,":[84],"rather":[85],"entire":[90],"pool.":[91],"To":[92],"measure":[93,137,143],"performance":[95],"ranker,":[98],"compare":[100],"its":[101,145],"output":[102],"preferred":[105],"by":[107,121,169],"applying":[108],"rank":[110],"similarity":[111],"measure.":[112],"We":[113],"demonstrate":[114],"practical":[116],"feasibility":[117],"approach":[120],"crowdsourcing":[122],"preferences":[124],"TREC":[127],"2019":[128],"Conversational":[129],"Assistance":[130],"Track,":[131],"replacing":[132],"NDCG":[133],"new":[136,142],"named":[138],"compatibility":[139],".":[140],"This":[141],"has":[144],"most":[146],"striking":[147],"impact":[148],"when":[149],"comparing":[150],"modern":[151],"neural":[152],"rankers,":[153],"where":[154],"it":[155],"is":[156],"able":[157],"significant":[160],"improvements":[161],"quality":[163],"would":[165],"otherwise":[166],"be":[167],"missed":[168]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
