{"id":"https://openalex.org/W2950184844","doi":"https://doi.org/10.1145/3331184.3331398","title":"cwl_eval","display_name":"cwl_eval","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2950184844","doi":"https://doi.org/10.1145/3331184.3331398","mag":"2950184844"},"language":"en","primary_location":{"id":"doi:10.1145/3331184.3331398","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd 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/A5048218964","display_name":"Leif Azzopardi","orcid":"https://orcid.org/0000-0002-6900-0557"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Leif Azzopardi","raw_affiliation_strings":["University of Strathclyde, Glasgow, Australia"],"affiliations":[{"raw_affiliation_string":"University of Strathclyde, Glasgow, Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046377370","display_name":"Paul Thomas","orcid":"https://orcid.org/0000-0003-2425-3136"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Paul Thomas","raw_affiliation_strings":["Microsoft, Canberra, Australia"],"affiliations":[{"raw_affiliation_string":"Microsoft, Canberra, Australia","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081861848","display_name":"Alistair Moffat","orcid":"https://orcid.org/0000-0002-6638-0232"},"institutions":[{"id":"https://openalex.org/I165779595","display_name":"University of Melbourne","ror":"https://ror.org/01ej9dk98","country_code":"AU","type":"education","lineage":["https://openalex.org/I165779595"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alistair Moffat","raw_affiliation_strings":["University of Melbourne, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"University of Melbourne, Melbourne, Australia","institution_ids":["https://openalex.org/I165779595"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048218964"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.0697,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.94557462,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1321","last_page":"1324"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9998999834060669,"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":0.9998999834060669,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9991999864578247,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7662032842636108},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.6086267828941345},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5424999594688416},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.427178293466568},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3507375121116638},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33392584323883057},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11341801285743713}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7662032842636108},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6086267828941345},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5424999594688416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.427178293466568},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3507375121116638},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33392584323883057},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11341801285743713},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3331184.3331398","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331398","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:strathprints.strath.ac.uk:71233","is_oa":false,"landing_page_url":"https://strathprints.strath.ac.uk/view/author/517553.html>","pdf_url":null,"source":{"id":"https://openalex.org/S4306402226","display_name":"Strathprints: The University of Strathclyde institutional repository (University of Strathclyde)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I181647926","host_organization_name":"University of Strathclyde","host_organization_lineage":["https://openalex.org/I181647926"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.41999998688697815}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1968927634","https://openalex.org/W2022995284","https://openalex.org/W2029009258","https://openalex.org/W2059120814","https://openalex.org/W2069870183","https://openalex.org/W2106404250","https://openalex.org/W2259592457","https://openalex.org/W2469208519","https://openalex.org/W2530530386","https://openalex.org/W2624553223","https://openalex.org/W2740517242","https://openalex.org/W2794432940","https://openalex.org/W2808234013","https://openalex.org/W2954264361"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W3107602296","https://openalex.org/W4312192474","https://openalex.org/W4210805261","https://openalex.org/W4387297750"],"abstract_inverted_index":{"We":[0,109],"present":[1],"a":[2,27,36,71,76,113,160],"tool":[3],"(\"cwl_eval\")":[4],"which":[5,30],"unifies":[6],"many":[7],"metrics":[8,23,135,153],"typically":[9],"used":[10,33],"to":[11,34,106,163],"evaluate":[12],"information":[13],"retrieval":[14],"systems":[15],"using":[16],"test":[17],"collections.":[18],"In":[19],"the":[20,68,93,98,126,155],"CWL":[21,59,94],"framework":[22,60,80],"are":[24],"specified":[25],"via":[26],"single":[28],"function":[29],"can":[31],"be":[32],"derive":[35],"number":[37,114],"of":[38,70,104,112,115],"related":[39],"measurements:":[40],"Expected":[41,45,48,52,56],"Utility":[42],"per":[43,50],"item,":[44,51],"Total":[46,53],"Utility,":[47],"Cost":[49],"Cost,":[54],"and":[55,74,88,101,125,146,151],"Depth.":[57],"The":[58],"brings":[61],"together":[62],"several":[63],"independent":[64],"approaches":[65],"for":[66,81],"measuring":[67],"quality":[69],"ranked":[72],"list,":[73],"provides":[75],"coherent":[77],"user":[78],"model-based":[79],"developing":[82],"measures":[83],"based":[84],"on":[85],"utility":[86],"(gain)":[87],"cost.":[89],"Here":[90],"we":[91,158],"outline":[92],"measurement":[95],"framework;":[96],"describe":[97],"cwl_eval":[99],"architecture;":[100],"provide":[102,110],"examples":[103],"how":[105],"use":[107],"it.":[108],"implementations":[111],"recent":[116],"metrics,":[117],"including":[118],"Time":[119],"Biased":[120],"Gain,":[121,143],"U-Measure,":[122],"Bejewelled":[123],"Measure,":[124,130],"Information":[127],"Foraging":[128],"Based":[129],"as":[131,133,137],"well":[132],"previous":[134],"such":[136],"Precision,":[138,140,145],"Average":[139],"Discounted":[141],"Cumulative":[142],"Rank-Biased":[144],"INST.":[147],"By":[148],"providing":[149],"state-of-the-art":[150],"traditional":[152],"within":[154],"same":[156],"framework,":[157],"promote":[159],"standardised":[161],"approach":[162],"evaluating":[164],"search":[165],"effectiveness.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2019-06-27T00:00:00"}
