{"id":"https://openalex.org/W2798995557","doi":"https://doi.org/10.1145/3209978.3210005","title":"Dynamic Shard Cutoff Prediction for Selective Search","display_name":"Dynamic Shard Cutoff Prediction for Selective Search","publication_year":2018,"publication_date":"2018-06-27","ids":{"openalex":"https://openalex.org/W2798995557","doi":"https://doi.org/10.1145/3209978.3210005","mag":"2798995557"},"language":"en","primary_location":{"id":"doi:10.1145/3209978.3210005","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3209978.3210005","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3209978.3210005","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3209978.3210005","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064286233","display_name":"Hafeezul Rahman Mohammad","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hafeezul Rahman Mohammad","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102302135","display_name":"Keyang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Keyang Xu","raw_affiliation_strings":["Petuum Inc., Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Petuum Inc., Pittsburgh, PA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009879041","display_name":"Jamie Callan","orcid":null},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jamie Callan","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070937840","display_name":"J. Shane Culpepper","orcid":"https://orcid.org/0000-0002-1902-9087"},"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":"J. Shane Culpepper","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":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5064286233"],"corresponding_institution_ids":["https://openalex.org/I74973139"],"apc_list":null,"apc_paid":null,"fwci":6.1688,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.96586514,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"94"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9998999834060669,"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":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9934999942779541,"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"}},{"id":"https://openalex.org/T12016","display_name":"Web Data Mining and Analysis","score":0.9860000014305115,"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/computer-science","display_name":"Computer science","score":0.7543714046478271},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6053969860076904},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.5271185040473938},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4875633120536804},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43833059072494507},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4270889163017273},{"id":"https://openalex.org/keywords/decoupling","display_name":"Decoupling (probability)","score":0.4229009747505188},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4111935496330261},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36549293994903564},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2824603319168091},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10358178615570068}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7543714046478271},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6053969860076904},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.5271185040473938},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4875633120536804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43833059072494507},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4270889163017273},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.4229009747505188},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4111935496330261},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36549293994903564},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2824603319168091},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10358178615570068},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3209978.3210005","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3209978.3210005","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3209978.3210005","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/27582915","is_oa":true,"landing_page_url":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1145/3209978.3210005","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3209978.3210005","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3209978.3210005","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.5400000214576721}],"awards":[{"id":"https://openalex.org/G2381366646","display_name":null,"funder_award_id":"IIS-1302206","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2798995557.pdf","grobid_xml":"https://content.openalex.org/works/W2798995557.grobid-xml"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W2562782","https://openalex.org/W273955616","https://openalex.org/W1553751323","https://openalex.org/W1616993132","https://openalex.org/W1968927634","https://openalex.org/W1973435495","https://openalex.org/W1984918470","https://openalex.org/W1997402015","https://openalex.org/W1999322447","https://openalex.org/W2002682102","https://openalex.org/W2016892599","https://openalex.org/W2021581601","https://openalex.org/W2025561764","https://openalex.org/W2027752285","https://openalex.org/W2036295879","https://openalex.org/W2037698344","https://openalex.org/W2053448995","https://openalex.org/W2054160068","https://openalex.org/W2069870183","https://openalex.org/W2070740689","https://openalex.org/W2086253379","https://openalex.org/W2096682819","https://openalex.org/W2097433657","https://openalex.org/W2098294664","https://openalex.org/W2108278040","https://openalex.org/W2113640060","https://openalex.org/W2115939989","https://openalex.org/W2124379907","https://openalex.org/W2134842174","https://openalex.org/W2139230733","https://openalex.org/W2149427297","https://openalex.org/W2160266360","https://openalex.org/W2171144050","https://openalex.org/W2342707026","https://openalex.org/W2406364658","https://openalex.org/W2412124276","https://openalex.org/W2467890656","https://openalex.org/W2469056188","https://openalex.org/W2531355666","https://openalex.org/W2537986768","https://openalex.org/W2556771250","https://openalex.org/W2604400725","https://openalex.org/W2740256306","https://openalex.org/W2741632195","https://openalex.org/W2782730635","https://openalex.org/W3101622805","https://openalex.org/W4255459561","https://openalex.org/W4256046779"],"related_works":["https://openalex.org/W2152950565","https://openalex.org/W1617565119","https://openalex.org/W160381218","https://openalex.org/W2512958550","https://openalex.org/W2099777870","https://openalex.org/W2329266651","https://openalex.org/W3103825105","https://openalex.org/W3160516639","https://openalex.org/W2367099342","https://openalex.org/W4301519770"],"abstract_inverted_index":{"Selective":[0],"search":[1,21,53,103],"architectures":[2],"use":[3],"resource":[4],"selection":[5],"algorithms":[6],"such":[7,42],"as":[8,43,54],"Rank-S":[9],"or":[10],"Taily":[11],"to":[12,20,34,90,102,112],"rank":[13],"index":[14],"shards":[15,79,101],"and":[16,46,109],"determine":[17],"how":[18,99],"many":[19,100],"for":[22,84],"a":[23,59,85],"given":[24,86],"query.":[25],"Most":[26],"prior":[27],"research":[28],"evaluated":[29],"solutions":[30],"by":[31],"their":[32],"ability":[33],"improve":[35],"efficiency":[36,105],"without":[37],"significantly":[38],"reducing":[39],"early-precision":[40],"metrics":[41,66],"[email":[44,47],"protected]":[45,48],"This":[49],"paper":[50],"recasts":[51],"selective":[52],"an":[55],"early":[56],"stage":[57],"of":[58,78,123],"multi-stage":[60],"retrieval":[61],"architecture,":[62],"which":[63],"makes":[64],"recall-oriented":[65,92],"more":[67],"appropriate.":[68],"A":[69],"new":[70],"algorithm":[71],"is":[72],"presented":[73],"that":[74,80],"predicts":[75],"the":[76,121],"number":[77],"must":[81],"be":[82,113],"searched":[83],"query":[87],"in":[88],"order":[89],"meet":[91],"goals.":[93],"Decoupling":[94],"shard":[95],"ranking":[96],"from":[97],"deciding":[98],"clarifies":[104],"vs.":[106],"effectiveness":[107],"trade-offs,":[108],"enables":[110],"them":[111],"optimized":[114],"independently.":[115],"Experiments":[116],"on":[117],"two":[118],"corpora":[119],"demonstrate":[120],"value":[122],"this":[124],"approach.":[125]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}