{"id":"https://openalex.org/W2740817677","doi":"https://doi.org/10.1145/3077136.3080780","title":"Faster BlockMax WAND with Variable-sized Blocks","display_name":"Faster BlockMax WAND with Variable-sized Blocks","publication_year":2017,"publication_date":"2017-07-28","ids":{"openalex":"https://openalex.org/W2740817677","doi":"https://doi.org/10.1145/3077136.3080780","mag":"2740817677"},"language":"en","primary_location":{"id":"doi:10.1145/3077136.3080780","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3080780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th 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/A5004258130","display_name":"Antonio Mallia","orcid":"https://orcid.org/0000-0002-7817-6140"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Mallia","raw_affiliation_strings":["University of Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003288532","display_name":"Giuseppe Ottaviano","orcid":"https://orcid.org/0000-0003-1191-8258"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Ottaviano","raw_affiliation_strings":["ISTI-CNR, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISTI-CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053390370","display_name":"Elia Porciani","orcid":null},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Elia Porciani","raw_affiliation_strings":["University of Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018894843","display_name":"Nicola Tonellotto","orcid":"https://orcid.org/0000-0002-7427-1001"},"institutions":[{"id":"https://openalex.org/I122991210","display_name":"Istituto di Scienza e Tecnologie dell'Informazione \"Alessandro Faedo\"","ror":"https://ror.org/05kacka20","country_code":"IT","type":"facility","lineage":["https://openalex.org/I122991210","https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Nicola Tonellotto","raw_affiliation_strings":["ISTI-CNR, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISTI-CNR, Pisa, Italy","institution_ids":["https://openalex.org/I122991210"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084138015","display_name":"Rossano Venturini","orcid":"https://orcid.org/0000-0002-9830-3936"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Rossano Venturini","raw_affiliation_strings":["University of Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":66,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"625","last_page":"634"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9997000098228455,"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":0.9997000098228455,"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/T11269","display_name":"Algorithms and Data Compression","score":0.9993000030517578,"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9984999895095825,"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":0.8558554649353027},{"id":"https://openalex.org/keywords/inverted-index","display_name":"Inverted index","score":0.8404636383056641},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6061356067657471},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5915002226829529},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5385165810585022},{"id":"https://openalex.org/keywords/search-engine","display_name":"Search engine","score":0.46027088165283203},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.4592134952545166},{"id":"https://openalex.org/keywords/query-expansion","display_name":"Query expansion","score":0.42377400398254395},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.41490742564201355},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3927343487739563},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.2542848587036133},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1290622055530548},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07631200551986694}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8558554649353027},{"id":"https://openalex.org/C130590232","wikidata":"https://www.wikidata.org/wiki/Q1671754","display_name":"Inverted index","level":3,"score":0.8404636383056641},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6061356067657471},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5915002226829529},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5385165810585022},{"id":"https://openalex.org/C97854310","wikidata":"https://www.wikidata.org/wiki/Q19541","display_name":"Search engine","level":2,"score":0.46027088165283203},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.4592134952545166},{"id":"https://openalex.org/C99016210","wikidata":"https://www.wikidata.org/wiki/Q5488129","display_name":"Query expansion","level":2,"score":0.42377400398254395},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.41490742564201355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3927343487739563},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.2542848587036133},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1290622055530548},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07631200551986694},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3077136.3080780","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3077136.3080780","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/887216","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/887216","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:dnet:people______::a32b65802ac44155755fdaa540cce6be","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S7407055261","display_name":"ISTI Open Portal","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W84899576","https://openalex.org/W1491580860","https://openalex.org/W1524501441","https://openalex.org/W1532325895","https://openalex.org/W1573144638","https://openalex.org/W1643839025","https://openalex.org/W1791987072","https://openalex.org/W1980344365","https://openalex.org/W1987007212","https://openalex.org/W1991360400","https://openalex.org/W1994915827","https://openalex.org/W1997214779","https://openalex.org/W2015202227","https://openalex.org/W2024353273","https://openalex.org/W2032866865","https://openalex.org/W2043150166","https://openalex.org/W2043909051","https://openalex.org/W2057058417","https://openalex.org/W2057223122","https://openalex.org/W2058150901","https://openalex.org/W2063694594","https://openalex.org/W2065472179","https://openalex.org/W2089455813","https://openalex.org/W2091379987","https://openalex.org/W2137339254","https://openalex.org/W2138662031","https://openalex.org/W2147028271","https://openalex.org/W2150414292","https://openalex.org/W2151249511","https://openalex.org/W2154610494","https://openalex.org/W2157238134","https://openalex.org/W2263798363","https://openalex.org/W2963036769","https://openalex.org/W3102704970","https://openalex.org/W4213009331"],"related_works":["https://openalex.org/W2096359267","https://openalex.org/W2006459955","https://openalex.org/W2105667490","https://openalex.org/W2146885082","https://openalex.org/W2538384344","https://openalex.org/W2572349046","https://openalex.org/W4386051213","https://openalex.org/W185198413","https://openalex.org/W3125756434","https://openalex.org/W3049728138"],"abstract_inverted_index":{"Query":[0],"processing":[1],"is":[2],"one":[3],"of":[4,33,104,153,178],"the":[5,13,43,54,62,102,106,117,122,151,154,170],"main":[6],"bo.lenecks":[7],"in":[8,42],"large-scale":[9],"search":[10],"engines.":[11],"Retrieving":[12],"top":[14],"k":[15],"most":[16],"relevant":[17],"documents":[18],"for":[19,91],"a":[20,89,158,164,175,184],"given":[21],"query":[22,74],"can":[23,70],"be":[24,71],"extremely":[25],"expensive,":[26],"as":[27,50,109],"it":[28],"involves":[29],"scoring":[30],"large":[31],"amounts":[32],"documents.":[34],"Several":[35],"dynamic":[36],"pruning":[37],"techniques":[38],"have":[39],"been":[40],"introduced":[41],"literature":[44],"to":[45,76,130,168,194],"tackle":[46],"this":[47,68],"problem,":[48],"such":[49],"BlockMaxWAND,":[51],"which":[52,113],"splits":[53],"inverted":[55],"index":[56],"into":[57],"constantsized":[58],"blocks":[59],"and":[60,125],"stores":[61],"maximum":[63],"document-Term":[64],"scores":[65],"per":[66],"block;":[67],"information":[69],"used":[72],"during":[73],"execution":[75],"safely":[77],"skip":[78],"low-score":[79],"documents,":[80],"producing":[81],"many-fold":[82],"speedups":[83],"over":[84],"exhaustive":[85],"methods.":[86],"We":[87,99,161],"introduce":[88,163],"re.nement":[90],"BlockMaxWANDthat":[92],"uses":[93],"variablesized":[94],"blocks,":[95],"rather":[96],"than":[97,190],"constant-sized.":[98],"set":[100],"up":[101],"problem":[103,112],"deciding":[105],"block":[107,118,172],"partitioning":[108],"an":[110,127,132,140],"optimization":[111],"maximizes":[114],"how":[115],"accurately":[116],"upper":[119],"bounds":[120],"represent":[121,169],"underlying":[123],"scores,":[124],"describe":[126],"effcient":[128],"algorithm":[129],".nd":[131],"approximate":[133],"solution,":[134],"with":[135,192],"provable":[136],"approximation":[137],"guarantees.":[138],".rough":[139],"extensive":[141],"experimental":[142],"analysis":[143],"we":[144],"show":[145],"that":[146],"our":[147],"method":[148],"significantly":[149],"outperforms":[150],"state":[152],"art":[155],"roughly":[156,179],"by":[157],"factor":[159],"2x.":[160],"also":[162],"compressed":[165],"data":[166],"structure":[167],"additional":[171],"information,":[173],"providing":[174],"compression":[176],"ratio":[177],"50%,":[180],"while":[181],"incurring":[182],"only":[183],"small":[185],"speed":[186],"degradation,":[187],"no":[188],"more":[189],"10%":[191],"respect":[193],"its":[195],"uncompressed":[196],"counterpart.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
