{"id":"https://openalex.org/W3035614832","doi":"https://doi.org/10.1145/3397271.3401076","title":"Finding the Best of Both Worlds","display_name":"Finding the Best of Both Worlds","publication_year":2020,"publication_date":"2020-07-25","ids":{"openalex":"https://openalex.org/W3035614832","doi":"https://doi.org/10.1145/3397271.3401076","mag":"3035614832"},"language":"en","primary_location":{"id":"doi:10.1145/3397271.3401076","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","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/A5015201177","display_name":"Omar Khattab","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omar Khattab","raw_affiliation_strings":["Stanford University, Stanford, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Stanford University, Stanford, CA, USA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018894377","display_name":"Mohammad Hammoud","orcid":"https://orcid.org/0000-0002-5742-6147"},"institutions":[{"id":"https://openalex.org/I4210089979","display_name":"Carnegie Mellon University Qatar","ror":"https://ror.org/00az5dt38","country_code":"QA","type":"education","lineage":["https://openalex.org/I4210089979","https://openalex.org/I74973139"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Mohammad Hammoud","raw_affiliation_strings":["Carnegie Mellon University in Qatar, Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University in Qatar, Doha, Qatar","institution_ids":["https://openalex.org/I4210089979"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032141720","display_name":"Tamer Elsayed","orcid":"https://orcid.org/0000-0001-5786-4668"},"institutions":[{"id":"https://openalex.org/I60342839","display_name":"Qatar University","ror":"https://ror.org/00yhnba62","country_code":"QA","type":"education","lineage":["https://openalex.org/I60342839"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Tamer Elsayed","raw_affiliation_strings":["Qatar University, Doha, Qatar"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Qatar University, Doha, Qatar","institution_ids":["https://openalex.org/I60342839"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1502,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.78546661,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1031","last_page":"1040"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9994000196456909,"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":0.9994000196456909,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.8249121308326721},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.8240419626235962},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7477884292602539},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5169219970703125},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.45410168170928955},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.425689160823822},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37191200256347656},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36983147263526917},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3494822084903717},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.05563095211982727}],"concepts":[{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.8249121308326721},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.8240419626235962},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7477884292602539},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5169219970703125},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.45410168170928955},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.425689160823822},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37191200256347656},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36983147263526917},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3494822084903717},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.05563095211982727},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3397271.3401076","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3397271.3401076","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:qspace.qu.edu.qa:10576/60886","is_oa":false,"landing_page_url":"http://hdl.handle.net/10576/60886","pdf_url":null,"source":{"id":"https://openalex.org/S4306400014","display_name":"Qatar University QSpace (Qatar University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I60342839","host_organization_name":"Qatar University","host_organization_lineage":["https://openalex.org/I60342839"],"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":"Conference"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W40096148","https://openalex.org/W1482214997","https://openalex.org/W1551409364","https://openalex.org/W1980344365","https://openalex.org/W1982387198","https://openalex.org/W1985136582","https://openalex.org/W1987007212","https://openalex.org/W1994922945","https://openalex.org/W1997214779","https://openalex.org/W1999822363","https://openalex.org/W2000431947","https://openalex.org/W2007070784","https://openalex.org/W2016078760","https://openalex.org/W2032866865","https://openalex.org/W2043150166","https://openalex.org/W2063694594","https://openalex.org/W2065472179","https://openalex.org/W2069834927","https://openalex.org/W2105157020","https://openalex.org/W2136542423","https://openalex.org/W2150414292","https://openalex.org/W2154610494","https://openalex.org/W2162697159","https://openalex.org/W2168006621","https://openalex.org/W2321109263","https://openalex.org/W2341132943","https://openalex.org/W2513853793","https://openalex.org/W2536015822","https://openalex.org/W2581544830","https://openalex.org/W2586017539","https://openalex.org/W2595442053","https://openalex.org/W2612543731","https://openalex.org/W2740342782","https://openalex.org/W2740817677","https://openalex.org/W2760310717","https://openalex.org/W2798663050","https://openalex.org/W2899154813","https://openalex.org/W2906131295","https://openalex.org/W2928384811","https://openalex.org/W2955135504","https://openalex.org/W2965843218"],"related_works":["https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W1690653314","https://openalex.org/W2401723157","https://openalex.org/W2065055572","https://openalex.org/W2784269775","https://openalex.org/W2952904874"],"abstract_inverted_index":{"Many":[0],"top-k":[1],"document":[2],"retrieval":[3,37,92],"strategies":[4,114],"have":[5],"been":[6],"proposed":[7],"based":[8],"on":[9,79],"the":[10,26,52,84,96,99,112],"WAND":[11],"and":[12,15,43,103,121,127],"MaxScore":[13],"heuristics":[14],"yet,":[16],"from":[17],"recent":[18],"work,":[19],"it":[20],"is":[21],"surprisingly":[22],"difficult":[23],"to":[24,67],"identify":[25],"\"fastest\"":[27],"strategy.":[28],"This":[29],"becomes":[30],"even":[31],"more":[32],"challenging":[33],"when":[34],"considering":[35],"various":[36],"criteria,":[38],"like":[39],"different":[40],"ranking":[41,76,116],"models":[42],"values":[44,118],"of":[45,61,83,111,119],"k.":[46],"In":[47],"this":[48],"paper,":[49],"we":[50,86],"conduct":[51],"first":[53],"extensive":[54],"comparison":[55],"between":[56,98],"ten":[57],"effective":[58],"strategies,":[59],"many":[60],"which":[62],"were":[63],"never":[64],"compared":[65],"before":[66],"our":[68],"knowledge,":[69],"examining":[70],"their":[71],"efficiency":[72],"under":[73,124],"five":[74],"representative":[75],"models.":[77],"Based":[78],"a":[80,89],"careful":[81],"analysis":[82],"comparison,":[85],"propose":[87],"LazyBM,":[88],"remarkably":[90],"simple":[91],"strategy":[93],"that":[94],"bridges":[95],"gap":[97],"best":[100],"performing":[101],"WAND-based":[102],"MaxScore-based":[104],"approaches.":[105],"Empirically,":[106],"LazyBM":[107],"considerably":[108],"outperforms":[109],"all":[110],"considered":[113],"across":[115],"models,":[117],"k,":[120],"index":[122],"configurations":[123],"both":[125],"mean":[126],"tail":[128],"query":[129],"latency.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}