{"id":"https://openalex.org/W2068119373","doi":"https://doi.org/10.1145/2396761.2396877","title":"Being picky","display_name":"Being picky","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2068119373","doi":"https://doi.org/10.1145/2396761.2396877","mag":"2068119373"},"language":"en","primary_location":{"id":"doi:10.1145/2396761.2396877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2396877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge 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/A5061790620","display_name":"Aleksandar Stupar","orcid":null},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Aleksandar Stupar","raw_affiliation_strings":["Saarland University, Saarbruecken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbruecken, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043223305","display_name":"Sebastian Michel","orcid":"https://orcid.org/0000-0001-6636-2694"},"institutions":[{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Sebastian Michel","raw_affiliation_strings":["Saarland University, Saarbruecken, Germany"],"affiliations":[{"raw_affiliation_string":"Saarland University, Saarbruecken, Germany","institution_ids":["https://openalex.org/I91712215"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061790620"],"corresponding_institution_ids":["https://openalex.org/I91712215"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.14631011,"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":"912","last_page":"921"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":1.0,"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":1.0,"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":0.9994000196456909,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7984551191329956},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7248209714889526},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.6570664644241333},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6420860290527344},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5909053087234497},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.578430712223053},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5421745181083679},{"id":"https://openalex.org/keywords/result-set","display_name":"Result set","score":0.49082860350608826},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.46753451228141785},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.459995836019516},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4439794421195984},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43704479932785034},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4152091145515442},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.41153043508529663},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3219977915287018},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.26662176847457886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1881955862045288},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11904901266098022},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07435160875320435}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7984551191329956},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7248209714889526},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.6570664644241333},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6420860290527344},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5909053087234497},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.578430712223053},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5421745181083679},{"id":"https://openalex.org/C4969071","wikidata":"https://www.wikidata.org/wiki/Q7316353","display_name":"Result set","level":3,"score":0.49082860350608826},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.46753451228141785},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.459995836019516},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4439794421195984},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43704479932785034},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4152091145515442},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.41153043508529663},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3219977915287018},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26662176847457886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1881955862045288},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11904901266098022},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07435160875320435},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2396761.2396877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2396877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W102708294","https://openalex.org/W1483763945","https://openalex.org/W1489022643","https://openalex.org/W1535279741","https://openalex.org/W1556219185","https://openalex.org/W1569403765","https://openalex.org/W1570051269","https://openalex.org/W1649293523","https://openalex.org/W1672848638","https://openalex.org/W1785933978","https://openalex.org/W1980344365","https://openalex.org/W1991360400","https://openalex.org/W1991800036","https://openalex.org/W2007153796","https://openalex.org/W2008659587","https://openalex.org/W2009688537","https://openalex.org/W2020919487","https://openalex.org/W2025051251","https://openalex.org/W2051158076","https://openalex.org/W2070232376","https://openalex.org/W2072764742","https://openalex.org/W2084538728","https://openalex.org/W2087863439","https://openalex.org/W2109403713","https://openalex.org/W2116400826","https://openalex.org/W2133741724","https://openalex.org/W2134195632","https://openalex.org/W2141649964","https://openalex.org/W2143682328","https://openalex.org/W2151645025","https://openalex.org/W2153987307","https://openalex.org/W2161817975","https://openalex.org/W2400964129","https://openalex.org/W2492959872","https://openalex.org/W2666600683","https://openalex.org/W6633499030","https://openalex.org/W6633961643","https://openalex.org/W6637957267"],"related_works":["https://openalex.org/W4308654829","https://openalex.org/W2092977233","https://openalex.org/W2395498354","https://openalex.org/W2002126683","https://openalex.org/W2418571785","https://openalex.org/W4231049415","https://openalex.org/W2084860965","https://openalex.org/W2157222403","https://openalex.org/W2399461195","https://openalex.org/W3207070658"],"abstract_inverted_index":{"Focusing":[0],"on":[1,143],"the":[2,26,32,49,52,79,113,116,121],"top-K":[3,46,155],"items":[4,54],"according":[5],"to":[6,23,35,98,104,107,127,138],"a":[7,58,71,88,93,108,130],"ranking":[8],"criterion":[9],"constitutes":[10],"an":[11,84,136],"important":[12],"functionality":[13],"in":[14],"many":[15],"different":[16],"query":[17,65,145],"answering":[18],"scenarios.":[19],"The":[20,161],"idea":[21],"is":[22,62],"read":[24],"only":[25],"necessary":[27],"information---mostly":[28],"from":[29,129],"secondary":[30],"storage---with":[31],"ultimate":[33],"goal":[34],"achieve":[36],"low":[37],"latency.":[38],"In":[39],"this":[40,69],"work,":[41],"we":[42,124],"consider":[43],"processing":[44],"such":[45,140],"queries":[47],"under":[48],"constraint":[50],"that":[51,96],"result":[53,159],"are":[55,164],"members":[56],"of":[57,83,120],"specific":[59],"set,":[60],"which":[61,102],"provided":[63],"at":[64,100],"time.":[66],"We":[67,91],"call":[68],"restriction":[70],"set-defined":[72],"selection":[73],"criterion.":[74],"Set-defined":[75],"selections":[76],"drastically":[77],"influence":[78],"pros":[80],"and":[81,134,169],"cons":[82],"id-ordered":[85],"index":[86,103,133],"vs.":[87],"score-ordered":[89,132],"index.":[90,110],"present":[92,135],"mathematical":[94],"model":[95],"allows":[97],"decide":[99],"runtime":[101],"choose,":[105],"leading":[106],"combined":[109],"To":[111],"improve":[112],"latency":[114],"around":[115],"break":[117],"even":[118],"point":[119],"two":[122],"indices,":[123],"show":[125],"how":[126],"benefit":[128],"partitioned":[131],"algorithm":[137],"create":[139],"partitions":[141],"based":[142],"analyzing":[144],"logs.":[146],"Further":[147],"performance":[148],"gains":[149],"can":[150],"be":[151],"enjoyed":[152],"using":[153,166],"approximate":[154],"results,":[156],"with":[157],"tunable":[158],"quality.":[160],"presented":[162],"approaches":[163],"evaluated":[165],"both":[167],"real-world":[168],"synthetic":[170],"data.":[171]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}