{"id":"https://openalex.org/W1967654850","doi":"https://doi.org/10.14778/1687627.1687642","title":"Measure-driven keyword-query expansion","display_name":"Measure-driven keyword-query expansion","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W1967654850","doi":"https://doi.org/10.14778/1687627.1687642","mag":"1967654850"},"language":"en","primary_location":{"id":"doi:10.14778/1687627.1687642","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1687627.1687642","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","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/A5000660268","display_name":"Nikos Sarkas","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Nikos Sarkas","raw_affiliation_strings":["University of Toronto"],"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058659035","display_name":"Nilesh Bansal","orcid":null},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nilesh Bansal","raw_affiliation_strings":["University of Toronto"],"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002203026","display_name":"Gautam Das","orcid":"https://orcid.org/0000-0002-4627-9065"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gautam Das","raw_affiliation_strings":["University of Texas at Arlington"],"affiliations":[{"raw_affiliation_string":"University of Texas at Arlington","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035257754","display_name":"Nick Koudas","orcid":"https://orcid.org/0000-0001-5648-0638"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nick Koudas","raw_affiliation_strings":["University of Toronto"],"affiliations":[{"raw_affiliation_string":"University of Toronto","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000660268"],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":5.7087,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.96193382,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":"1","first_page":"121","last_page":"132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T10317","display_name":"Advanced Database Systems and Queries","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11269","display_name":"Algorithms and Data Compression","score":0.9980000257492065,"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":0.8260803818702698},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7243943214416504},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6859260201454163},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.6416462659835815},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.6392424702644348},{"id":"https://openalex.org/keywords/web-search-query","display_name":"Web search query","score":0.6060841083526611},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5918291807174683},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5859697461128235},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5683931112289429},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5640921592712402},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5172315239906311},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5099118947982788},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.469353049993515},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42520570755004883},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.41213223338127136},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.3555600643157959},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09139522910118103}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8260803818702698},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7243943214416504},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6859260201454163},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.6416462659835815},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.6392424702644348},{"id":"https://openalex.org/C164120249","wikidata":"https://www.wikidata.org/wiki/Q995982","display_name":"Web search query","level":3,"score":0.6060841083526611},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5918291807174683},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5859697461128235},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5683931112289429},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5640921592712402},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5172315239906311},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5099118947982788},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.469353049993515},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42520570755004883},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.41213223338127136},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.3555600643157959},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09139522910118103},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14778/1687627.1687642","is_oa":false,"landing_page_url":"https://doi.org/10.14778/1687627.1687642","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.151.8940","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.151.8940","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.vldb.org/pvldb/2/vldb09-777.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5699999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1493098199","https://openalex.org/W1497709229","https://openalex.org/W1751167696","https://openalex.org/W1861694116","https://openalex.org/W1995304706","https://openalex.org/W2072764742","https://openalex.org/W2083991698","https://openalex.org/W2099111195","https://openalex.org/W2100502029","https://openalex.org/W2101286027","https://openalex.org/W2120943950","https://openalex.org/W2123061032","https://openalex.org/W2125638313","https://openalex.org/W2134206624","https://openalex.org/W2166706824","https://openalex.org/W2172028276","https://openalex.org/W2210278139","https://openalex.org/W2296319761","https://openalex.org/W2478708596","https://openalex.org/W2951278869","https://openalex.org/W4250589301","https://openalex.org/W6630032238","https://openalex.org/W6637906590","https://openalex.org/W6674851815","https://openalex.org/W6678144680","https://openalex.org/W6684915226","https://openalex.org/W6992347331"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2572349046","https://openalex.org/W2026738364","https://openalex.org/W3125756434","https://openalex.org/W2146885082","https://openalex.org/W2100181111","https://openalex.org/W3049728138","https://openalex.org/W8514837","https://openalex.org/W2184296057","https://openalex.org/W2013069866"],"abstract_inverted_index":{"User":[0],"generated":[1],"content":[2],"has":[3],"been":[4],"fueling":[5],"an":[6],"explosion":[7],"in":[8,66,81,125,163],"the":[9,47,73,93,103,145,181,186],"amount":[10],"of":[11,43,49,76,102,144,165,191,213],"available":[12],"textual":[13,44],"data.":[14],"In":[15,56],"this":[16,57],"context,":[17],"it":[18],"is":[19,96,152,158,170],"also":[20],"common":[21],"for":[22],"users":[23],"to":[24,68,83,127,137,179],"express,":[25],"either":[26],"explicitly":[27],"(through":[28],"numerical":[29,122],"ratings)":[30],"or":[31],"implicitly,":[32],"their":[33],"views":[34],"and":[35,52,89,112,120,134,161,207],"opinions":[36],"on":[37,139,172],"products,":[38],"events,":[39],"etc.":[40],"This":[41],"wealth":[42],"information":[45],"necessitates":[46],"development":[48],"novel":[50],"searching":[51,63],"data":[53,206,210],"exploration":[54],"paradigms.":[55],"paper":[58],"we":[59],"propose":[60],"a":[61,77,140,155],"new":[62],"model,":[64],"similar":[65],"spirit":[67],"faceted":[69,84],"search,":[70],"that":[71,157,176],"enables":[72],"progressive":[74],"refinement":[75,94],"keyword-query":[78],"result.":[79],"However,":[80],"contrast":[82],"search":[85,108],"which":[86],"utilizes":[87],"domain-specific":[88],"hard-to-extract":[90],"document":[91],"attributes,":[92],"process":[95],"driven":[97],"by":[98,154,185,198],"suggesting":[99],"interesting":[100,142],"expansions":[101,133],"original":[104,146],"query":[105,132],"with":[106],"additional":[107],"terms.":[109],"Our":[110,168],"query-driven":[111],"domain-neutral":[113],"approach":[114],"employs":[115],"surprising":[116],"word":[117],"co-occurrence":[118],"patterns":[119],"(optionally)":[121],"user":[123],"ratings":[124],"order":[126],"identify":[128],"meaningful":[129],"top-":[130,188],"k":[131,189],"allow":[135,177],"one":[136],"focus":[138],"particularly":[141],"subset":[143],"result":[147],"set.":[148],"The":[149,194],"proposed":[150],"functionality":[151],"supported":[153],"framework":[156],"computationally":[159],"efficient":[160],"nimble":[162],"terms":[164],"storage":[166],"requirements.":[167],"solution":[169,200],"grounded":[171],"Convex":[173],"Optimization":[174],"principles":[175],"us":[178],"exploit":[180],"pruning":[182],"opportunities":[183],"offered":[184,197],"natural":[187],"formulation":[190],"our":[192,199],"problem.":[193],"performance":[195],"benefits":[196],"are":[201],"verified":[202],"using":[203],"both":[204],"synthetic":[205],"large":[208],"real":[209],"sets":[211],"comprised":[212],"blog":[214],"posts.":[215]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":4}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}