{"id":"https://openalex.org/W1970173714","doi":"https://doi.org/10.1145/1148170.1148227","title":"Capturing collection size for distributed non-cooperative retrieval","display_name":"Capturing collection size for distributed non-cooperative retrieval","publication_year":2006,"publication_date":"2006-08-06","ids":{"openalex":"https://openalex.org/W1970173714","doi":"https://doi.org/10.1145/1148170.1148227","mag":"1970173714"},"language":"en","primary_location":{"id":"doi:10.1145/1148170.1148227","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1148170.1148227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th 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":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Capturing_collection_size_for_distributed_non-cooperative_retrieval/27342807","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088114671","display_name":"Milad Shokouhi","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":true,"raw_author_name":"Milad Shokouhi","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041495909","display_name":"Justin Zobel","orcid":"https://orcid.org/0000-0001-6622-032X"},"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":"Justin Zobel","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085925326","display_name":"Falk Scholer","orcid":"https://orcid.org/0000-0001-9094-0810"},"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":"Falk Scholer","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109361643","display_name":"S. M. M. Tahaghoghi","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":"S. M. M. Tahaghoghi","raw_affiliation_strings":["RMIT University, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5088114671"],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":7.5866,"has_fulltext":false,"cited_by_count":64,"citation_normalized_percentile":{"value":0.97669492,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"18","issue":null,"first_page":"316","last_page":"323"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9828000068664551,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9828000068664551,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9814000129699707,"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/T12640","display_name":"Environmental DNA in Biodiversity Studies","score":0.9763000011444092,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.7822421789169312},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6338990926742554},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.6224073171615601},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5609484910964966},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4774128198623657},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4034305214881897},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35240811109542847},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3376728296279907},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2845783233642578},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17962047457695007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0754944384098053}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7822421789169312},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6338990926742554},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.6224073171615601},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5609484910964966},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4774128198623657},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4034305214881897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35240811109542847},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3376728296279907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2845783233642578},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17962047457695007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0754944384098053},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1145/1148170.1148227","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1148170.1148227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:researchbank.rmit.edu.au:rmit:2444","is_oa":false,"landing_page_url":"http://researchbank.rmit.edu.au/view/rmit:2444","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":"Conference Paper"},{"id":"pmh:oai:alma.61RMIT_INST:11247926300001341","is_oa":false,"landing_page_url":"http://doi.org/10.1145/1148170.1148227","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/27342807","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Capturing_collection_size_for_distributed_non-cooperative_retrieval/27342807","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":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27342807","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Capturing_collection_size_for_distributed_non-cooperative_retrieval/27342807","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":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W193708675","https://openalex.org/W1586176254","https://openalex.org/W1660390307","https://openalex.org/W1862957262","https://openalex.org/W1900236233","https://openalex.org/W1986828474","https://openalex.org/W2002682102","https://openalex.org/W2009018050","https://openalex.org/W2021986193","https://openalex.org/W2028716813","https://openalex.org/W2038526807","https://openalex.org/W2039337213","https://openalex.org/W2060088491","https://openalex.org/W2066636486","https://openalex.org/W2090805977","https://openalex.org/W2112276485","https://openalex.org/W2113304843","https://openalex.org/W2116341550","https://openalex.org/W2118131693","https://openalex.org/W2131006463","https://openalex.org/W2131321118","https://openalex.org/W2154724067","https://openalex.org/W2164052363","https://openalex.org/W2170205495","https://openalex.org/W2221553715","https://openalex.org/W3006380594","https://openalex.org/W4206551437","https://openalex.org/W6603897584","https://openalex.org/W6635193281","https://openalex.org/W6637101025","https://openalex.org/W6660516567"],"related_works":["https://openalex.org/W2032233321","https://openalex.org/W3121970507","https://openalex.org/W2110028391","https://openalex.org/W54497855","https://openalex.org/W217960748","https://openalex.org/W3125814499","https://openalex.org/W2090827041","https://openalex.org/W2565703248","https://openalex.org/W187246281","https://openalex.org/W2143548620"],"abstract_inverted_index":{"Modern":[0],"distributed":[1],"information":[2],"retrieval":[3],"techniques":[4,71],"require":[5],"accurate":[6,97],"knowledge":[7],"of":[8,23,36,52,59,75,86,107],"collection":[9,16,37,87],"size.":[10,88],"In":[11],"non-cooperative":[12],"environments,":[13],"where":[14],"detailed":[15],"statistics":[17],"are":[18,94,102],"not":[19,45],"available,":[20],"the":[21,24,34,73,84,112],"size":[22,38],"underlying":[25],"collections":[26,60],"must":[27],"be":[28],"estimated.":[29],"While":[30],"several":[31],"approaches":[32,55,82,93],"for":[33,72,83],"estimation":[35,54,74,85],"have":[39],"been":[40,46],"proposed,":[41],"their":[42,63],"accuracy":[43,65],"has":[44],"thoroughly":[47],"evaluated.":[48],"An":[49],"empirical":[50],"analysis":[51],"past":[53],"across":[56],"a":[57],"variety":[58],"demonstrates":[61],"that":[62,91,98],"prediction":[64],"is":[66],"low.":[67],"Motivated":[68],"by":[69],"ecological":[70],"animal":[76],"populations,":[77],"we":[78],"propose":[79],"two":[80],"new":[81],"We":[89],"show":[90],"our":[92],"significantly":[95],"more":[96,103],"previous":[99],"methods,":[100],"and":[101],"efficient":[104],"in":[105],"use":[106],"resources":[108],"required":[109],"to":[110],"perform":[111],"estimation.":[113]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":9},{"year":2013,"cited_by_count":7},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}