{"id":"https://openalex.org/W2061503648","doi":"https://doi.org/10.1145/2682862.2682864","title":"Improving test collection pools with machine learning","display_name":"Improving test collection pools with machine learning","publication_year":2014,"publication_date":"2014-11-17","ids":{"openalex":"https://openalex.org/W2061503648","doi":"https://doi.org/10.1145/2682862.2682864","mag":"2061503648"},"language":"en","primary_location":{"id":"doi:10.1145/2682862.2682864","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2682862.2682864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Australasian Document Computing Symposium","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Improving_test_collection_pools_with_machine_learning/27391572","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002295536","display_name":"Gaya K. Jayasinghe","orcid":null},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gaya K. Jayasinghe","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110722281","display_name":"William Webber","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"William Webber","raw_affiliation_strings":["William Webber Consulting, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"William Webber Consulting, Melbourne, Australia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072614956","display_name":"Mark Sanderson","orcid":"https://orcid.org/0000-0003-0487-9609"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Mark Sanderson","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070937840","display_name":"J. Shane Culpepper","orcid":"https://orcid.org/0000-0002-1902-9087"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"J. Shane Culpepper","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4384,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.88218245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9837999939918518,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9811000227928162,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9779999852180481,"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/test","display_name":"Test (biology)","score":0.7619056701660156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7273913025856018},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5644693970680237},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.4623699188232422},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3953573703765869},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3885113298892975},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3498914837837219}],"concepts":[{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.7619056701660156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7273913025856018},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5644693970680237},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.4623699188232422},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3953573703765869},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3885113298892975},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3498914837837219},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/2682862.2682864","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2682862.2682864","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2014 Australasian Document Computing Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.61RMIT_INST:11247781510001341","is_oa":false,"landing_page_url":"http://doi.org/10.1145/2682862.2682864","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27391572","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Improving_test_collection_pools_with_machine_learning/27391572","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27391572","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Improving_test_collection_pools_with_machine_learning/27391572","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1566355232","display_name":"Beyond keyword search for ranked document retrieval","funder_award_id":"DE140100275","funder_id":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council"}],"funders":[{"id":"https://openalex.org/F4320334704","display_name":"Australian Research Council","ror":"https://ror.org/05mmh0f86"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W119481552","https://openalex.org/W299870200","https://openalex.org/W1483624827","https://openalex.org/W1488210821","https://openalex.org/W1507150160","https://openalex.org/W1515852583","https://openalex.org/W1554394657","https://openalex.org/W1602484930","https://openalex.org/W1606874436","https://openalex.org/W1966835268","https://openalex.org/W1988686126","https://openalex.org/W1990995988","https://openalex.org/W1994960885","https://openalex.org/W2001142465","https://openalex.org/W2021856948","https://openalex.org/W2027827699","https://openalex.org/W2053100920","https://openalex.org/W2057495142","https://openalex.org/W2058200372","https://openalex.org/W2062236692","https://openalex.org/W2073913493","https://openalex.org/W2075893676","https://openalex.org/W2078396654","https://openalex.org/W2081033951","https://openalex.org/W2102698119","https://openalex.org/W2106927287","https://openalex.org/W2118585731","https://openalex.org/W2120308175","https://openalex.org/W2124108136","https://openalex.org/W2124379907","https://openalex.org/W2141175968","https://openalex.org/W2156640004","https://openalex.org/W2184475823","https://openalex.org/W2294145134","https://openalex.org/W3001645704","https://openalex.org/W4253769013"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W2357241418","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4205958290"],"abstract_inverted_index":{"IR":[0,74],"experiments":[1],"typically":[2],"use":[3],"test":[4,9,69],"collections":[5,10,70],"for":[6,28,37],"evaluation.":[7],"Such":[8],"are":[11,56,62],"formed":[12],"by":[13,20],"judging":[14],"a":[15,21],"pool":[16],"of":[17,23,33,46],"documents":[18,35],"retrieved":[19],"combination":[22],"automatic":[24],"and":[25,50],"manual":[26],"runs":[27,48,55,61],"each":[29,38,45],"topic.":[30],"The":[31],"proportion":[32],"relevant":[34],"found":[36],"topic":[39],"depends":[40],"on":[41],"the":[42,47,51],"diversity":[43],"across":[44],"submitted":[49],"depth":[52],"to":[53,65],"which":[54],"assessed":[57],"(pool":[58],"depth).":[59],"Manual":[60],"commonly":[63],"believed":[64],"reduce":[66],"bias":[67],"in":[68],"when":[71],"evaluating":[72],"new":[73],"systems.":[75]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}