{"id":"https://openalex.org/W2965376349","doi":"https://doi.org/10.1145/3335783.3335794","title":"Less Data Delivers Higher Search Effectiveness for Keyword Queries","display_name":"Less Data Delivers Higher Search Effectiveness for Keyword Queries","publication_year":2019,"publication_date":"2019-07-23","ids":{"openalex":"https://openalex.org/W2965376349","doi":"https://doi.org/10.1145/3335783.3335794","mag":"2965376349"},"language":"en","primary_location":{"id":"doi:10.1145/3335783.3335794","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3335783.3335794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st International Conference on Scientific and Statistical Database Management","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/A5064441541","display_name":"Vahid Ghadakchi","orcid":null},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Vahid Ghadakchi","raw_affiliation_strings":["School of EECS, Oregon State University"],"affiliations":[{"raw_affiliation_string":"School of EECS, Oregon State University","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065725443","display_name":"Abtin Khodadadi","orcid":null},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abtin Khodadadi","raw_affiliation_strings":["School of EECS, Oregon State University"],"affiliations":[{"raw_affiliation_string":"School of EECS, Oregon State University","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008664449","display_name":"Arash Termehchy","orcid":"https://orcid.org/0009-0007-2213-6303"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Arash Termehchy","raw_affiliation_strings":["School of EECS, Oregon State University"],"affiliations":[{"raw_affiliation_string":"School of EECS, Oregon State University","institution_ids":["https://openalex.org/I131249849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5064441541"],"corresponding_institution_ids":["https://openalex.org/I131249849"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07260341,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"109","last_page":"120"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9977999925613403,"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":0.9977999925613403,"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":0.9975000023841858,"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9970999956130981,"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/keyword-search","display_name":"Keyword search","score":0.8732476830482483},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7268768548965454},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4840754568576813}],"concepts":[{"id":"https://openalex.org/C2988412617","wikidata":"https://www.wikidata.org/wiki/Q7441656","display_name":"Keyword search","level":2,"score":0.8732476830482483},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7268768548965454},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4840754568576813}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3335783.3335794","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3335783.3335794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st International Conference on Scientific and Statistical Database Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.41999998688697815,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W142212369","https://openalex.org/W1485782945","https://openalex.org/W1518041103","https://openalex.org/W1532325895","https://openalex.org/W1556203341","https://openalex.org/W1563590781","https://openalex.org/W1956559956","https://openalex.org/W1972545488","https://openalex.org/W1981585544","https://openalex.org/W1989944922","https://openalex.org/W1999322447","https://openalex.org/W2008742021","https://openalex.org/W2021986193","https://openalex.org/W2028083097","https://openalex.org/W2062304368","https://openalex.org/W2071989194","https://openalex.org/W2072156548","https://openalex.org/W2098388305","https://openalex.org/W2113682604","https://openalex.org/W2117461391","https://openalex.org/W2118173195","https://openalex.org/W2127899914","https://openalex.org/W2136530502","https://openalex.org/W2137250554","https://openalex.org/W2143852486","https://openalex.org/W2148942721","https://openalex.org/W2162783807","https://openalex.org/W2162833734","https://openalex.org/W2169624745","https://openalex.org/W2171874178","https://openalex.org/W2251214202","https://openalex.org/W2275236596","https://openalex.org/W2405670011","https://openalex.org/W2585067488","https://openalex.org/W2892719183","https://openalex.org/W6633828322"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W3590553"],"abstract_inverted_index":{"As":[0],"many":[1,82,89,153],"users,":[2,33],"such":[3,27],"as":[4,28,107],"scientists,":[5],"do":[6,86],"not":[7,87,147],"know":[8],"the":[9,54,58,63,93,101,108,111,119,136,149,174,195],"schema":[10,59],"and/or":[11],"content":[12,61],"of":[13,51,62,103,110,135,199],"their":[14,20,45,66],"databases,":[15],"they":[16,79],"cannot":[17],"precisely":[18],"formulate":[19],"information":[21,46],"needs":[22],"using":[23,48,170,181],"formal":[24],"query":[25,38,69,164,186],"languages,":[26],"SQL.":[29],"To":[30],"help":[31],"these":[32],"researchers":[34],"have":[35],"proposed":[36],"keyword":[37,68],"interfaces":[39,70],"over":[40],"which":[41],"users":[42],"can":[43,165],"submit":[44],"need":[47],"a":[49,131,158,163],"set":[50],"keywords":[52],"without":[53],"precise":[55],"knowledge":[56],"about":[57],"or":[60,85,173],"database.":[64,176],"Despite":[65],"usability,":[67],"suffer":[71],"from":[72],"low":[73],"effectiveness":[74,102,196],"in":[75],"answering":[76,104,200],"queries.":[77,95,201],"Therefore,":[78],"may":[80,146],"return":[81,88],"non-relevant":[83],"answers":[84,90,151],"related":[91],"to":[92,138,152],"input":[94],"It":[96],"is":[97],"well":[98],"established":[99],"that":[100,128,160,189],"queries":[105,141],"decreases":[106],"size":[109],"dataset":[112],"grows,":[113],"given":[114],"all":[115],"other":[116],"conditions":[117],"are":[118],"same.":[120],"In":[121],"this":[122,144,171],"paper,":[123],"we":[124,155],"propose":[125,157],"an":[126],"approach":[127,191],"uses":[129],"only":[130],"relatively":[132],"small":[133],"subset":[134,145,172],"database":[137],"answer":[139],"most":[140],"effectively.":[142],"Since":[143],"contain":[148],"relevant":[150],"queries,":[154],"also":[156],"method":[159],"predicts":[161],"whether":[162],"be":[166],"answered":[167],"more":[168],"effectively":[169],"entire":[175],"Our":[177],"comprehensive":[178],"empirical":[179],"studies":[180],"multiple":[182],"real-world":[183],"databases":[184],"and":[185,197],"workloads":[187],"indicate":[188],"our":[190],"significantly":[192],"improves":[193],"both":[194],"efficiency":[198]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}