{"id":"https://openalex.org/W3013057774","doi":"https://doi.org/10.1145/3389795","title":"Using an Inverted Index Synopsis for Query Latency and Performance Prediction","display_name":"Using an Inverted Index Synopsis for Query Latency and Performance Prediction","publication_year":2020,"publication_date":"2020-05-18","ids":{"openalex":"https://openalex.org/W3013057774","doi":"https://doi.org/10.1145/3389795","mag":"3013057774"},"language":"en","primary_location":{"id":"doi:10.1145/3389795","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3389795","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":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018894843","display_name":"Nicola Tonellotto","orcid":"https://orcid.org/0000-0002-7427-1001"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Tonellotto","raw_affiliation_strings":["University of Pisa, Pisa, Italy"],"raw_orcid":"https://orcid.org/0000-0002-7427-1001","affiliations":[{"raw_affiliation_string":"University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057643560","display_name":"Craig Macdonald","orcid":"https://orcid.org/0000-0003-3143-279X"},"institutions":[{"id":"https://openalex.org/I7882870","display_name":"University of Glasgow","ror":"https://ror.org/00vtgdb53","country_code":"GB","type":"education","lineage":["https://openalex.org/I7882870"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Craig Macdonald","raw_affiliation_strings":["University of Glasgow, Glasgow, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Glasgow, Glasgow, UK","institution_ids":["https://openalex.org/I7882870"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6327,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87653778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"38","issue":"3","first_page":"1","last_page":"33"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9977999925613403,"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":0.9977999925613403,"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":0.9969000220298767,"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/T11106","display_name":"Data Management and Algorithms","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8940794467926025},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.7372158169746399},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6234982013702393},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.6113123893737793},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5865545272827148},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.5761486291885376},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5664874315261841},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5333302617073059},{"id":"https://openalex.org/keywords/inverted-index","display_name":"Inverted index","score":0.5286850333213806},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.503884494304657},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.43270403146743774}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8940794467926025},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.7372158169746399},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6234982013702393},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.6113123893737793},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5865545272827148},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.5761486291885376},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5664874315261841},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5333302617073059},{"id":"https://openalex.org/C130590232","wikidata":"https://www.wikidata.org/wiki/Q1671754","display_name":"Inverted index","level":3,"score":0.5286850333213806},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.503884494304657},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.43270403146743774},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3389795","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3389795","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"},{"id":"pmh:oai:eprints.gla.ac.uk:212648","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Articles"},{"id":"pmh:oai:arpi.unipi.it:11568/1044721","is_oa":false,"landing_page_url":"https://hdl.handle.net/11568/1044721","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:eprints.gla.ac.uk:212648","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4210235606","display_name":"ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam)","issn_l":"2622-8912","issn":["2622-8912","2622-8920"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Articles"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1577798322","https://openalex.org/W1605217017","https://openalex.org/W1605510967","https://openalex.org/W1894902829","https://openalex.org/W1980344365","https://openalex.org/W1982063824","https://openalex.org/W1994594731","https://openalex.org/W1994915827","https://openalex.org/W1999322447","https://openalex.org/W2003497025","https://openalex.org/W2004570439","https://openalex.org/W2006997130","https://openalex.org/W2026439336","https://openalex.org/W2037946039","https://openalex.org/W2044031164","https://openalex.org/W2048955106","https://openalex.org/W2065472179","https://openalex.org/W2073479529","https://openalex.org/W2082146655","https://openalex.org/W2112021481","https://openalex.org/W2139230733","https://openalex.org/W2145276935","https://openalex.org/W2151249511","https://openalex.org/W2152628009","https://openalex.org/W2154610494","https://openalex.org/W2168006621","https://openalex.org/W2342269870","https://openalex.org/W2556771250","https://openalex.org/W2592638109","https://openalex.org/W2740342782","https://openalex.org/W2740817677","https://openalex.org/W2750746504","https://openalex.org/W2758859575","https://openalex.org/W2897754576","https://openalex.org/W4205951122","https://openalex.org/W4231752194","https://openalex.org/W4300791398"],"related_works":["https://openalex.org/W2058987221","https://openalex.org/W2119380317","https://openalex.org/W2082868123","https://openalex.org/W2070155952","https://openalex.org/W2145657320","https://openalex.org/W118734887","https://openalex.org/W2102493899","https://openalex.org/W2388346754","https://openalex.org/W4282568653","https://openalex.org/W2187610212"],"abstract_inverted_index":{"Predicting":[0],"the":[1,15,33,53,62,73,101,132,136,158,181,194,197],"query":[2,47,125,133,152],"latency":[3],"by":[4],"a":[5,78,168,174,185,189],"search":[6,16,41],"engine":[7,17],"has":[8],"important":[9],"benefits,":[10],"for":[11,32,124,151],"instance,":[12],"in":[13],"allowing":[14],"to":[18,22,95],"adjust":[19],"its":[20,29],"configuration":[21],"address":[23],"long-running":[24,141],"queries":[25,142,161],"without":[26],"unnecessarily":[27],"sacrificing":[28],"effectiveness.":[30],"However,":[31],"dynamic":[34],"pruning":[35],"techniques":[36],"that":[37,87,115,130,157],"underlie":[38],"many":[39],"commercial":[40],"engines,":[42],"achieving":[43],"accurate":[44,66],"predictions":[45],"of":[46,55,61,81,100,106,160,183,188,196],"latencies":[48,134],"is":[49,93],"difficult.":[50],"We":[51],"propose":[52],"use":[54,121],"index":[56,90,116,138,148,170,191],"synopses\u2014which":[57],"are":[58],"stochastic":[59,186],"samples":[60],"full":[63,137],"index\u2014for":[64],"attaining":[65],"timing":[67],"predictions.":[68],"Indeed,":[69],"we":[70,113,128,155],"experiment":[71],"using":[72,88,147,167],"TREC":[74],"ClueWeb09":[75],"collection,":[76],"and":[77,85,110,139],"large":[79],"set":[80],"real":[82],"user":[83],"queries,":[84],"find":[86],"small":[89],"synopses":[91,117],"it":[92],"possible":[94],"very":[96],"accurately":[97,145,166],"estimate":[98],"properties":[99,195],"larger":[102,190,198],"index,":[103],"including":[104],"sizes":[105],"posting":[107],"list":[108],"unions":[109],"intersections.":[111],"Thereafter,":[112],"demonstrate":[114,180],"facilitate":[118],"two":[119],"key":[120],"cases:":[122],"first,":[123],"efficiency":[126],"prediction,":[127,154],"show":[129,156],"predicting":[131,193],"on":[135],"classifying":[140],"can":[143,162],"be":[144,163],"achieved":[146],"synopses;":[149],"second,":[150],"performance":[153],"effectiveness":[159],"estimated":[164],"more":[165],"synopsis":[169],"post-retrieval":[171],"predictor":[172],"than":[173],"pre-retrieval":[175],"predictor.":[176],"Overall,":[177],"our":[178],"experiments":[179],"value":[182],"such":[184],"sample":[187],"at":[192],"index.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}