{"id":"https://openalex.org/W2954023607","doi":"https://doi.org/10.1145/3331184.3331227","title":"Fast Approximate Filtering of Search Results Sorted by Attribute","display_name":"Fast Approximate Filtering of Search Results Sorted by Attribute","publication_year":2019,"publication_date":"2019-07-18","ids":{"openalex":"https://openalex.org/W2954023607","doi":"https://doi.org/10.1145/3331184.3331227","mag":"2954023607"},"language":"en","primary_location":{"id":"doi:10.1145/3331184.3331227","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://openportal.isti.cnr.it/doc?id=people______::59a03a3b86f597331b5097cec2334a91","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082554104","display_name":"Franco Maria Nardini","orcid":"https://orcid.org/0000-0003-3183-334X"},"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":"Franco Maria Nardini","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/A5076068546","display_name":"Roberto Trani","orcid":"https://orcid.org/0000-0002-6753-3149"},"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"]},{"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":"Roberto Trani","raw_affiliation_strings":["ISTI-CNR and University of Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISTI-CNR and University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I122991210","https://openalex.org/I108290504"]}]},{"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":0.3441,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6710482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"815","last_page":"824"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.998199999332428,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.998199999332428,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9907000064849854,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.989799976348877,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.759235143661499},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.7436615228652954},{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.6818548440933228},{"id":"https://openalex.org/keywords/speedup","display_name":"Speedup","score":0.5955968499183655},{"id":"https://openalex.org/keywords/sort","display_name":"sort","score":0.5886249542236328},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.48783543705940247},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.4868885576725006},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.46494925022125244},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4093985855579376},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3863903284072876},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3504331111907959},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.2590368390083313},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1903756558895111}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.759235143661499},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.7436615228652954},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.6818548440933228},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.5955968499183655},{"id":"https://openalex.org/C88548561","wikidata":"https://www.wikidata.org/wiki/Q347599","display_name":"sort","level":2,"score":0.5886249542236328},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.48783543705940247},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.4868885576725006},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.46494925022125244},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4093985855579376},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3863903284072876},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3504331111907959},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2590368390083313},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1903756558895111},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3331184.3331227","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3331184.3331227","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/1011268","is_oa":false,"landing_page_url":"http://hdl.handle.net/11568/1011268","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______::59a03a3b86f597331b5097cec2334a91","is_oa":true,"landing_page_url":"https://openportal.isti.cnr.it/doc?id=people______::59a03a3b86f597331b5097cec2334a91","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 815\u2013824, Parigi, Francia, 21/07/2019, 25/07/2019","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":{"id":"pmh:oai:dnet:people______::59a03a3b86f597331b5097cec2334a91","is_oa":true,"landing_page_url":"https://openportal.isti.cnr.it/doc?id=people______::59a03a3b86f597331b5097cec2334a91","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 815\u2013824, Parigi, Francia, 21/07/2019, 25/07/2019","raw_type":"http://purl.org/coar/resource_type/c_5794"},"sustainable_development_goals":[{"display_name":"No poverty","score":0.5799999833106995,"id":"https://metadata.un.org/sdg/1"}],"awards":[{"id":"https://openalex.org/G7403458421","display_name":null,"funder_award_id":"780751","funder_id":"https://openalex.org/F4320335254","funder_display_name":"Horizon 2020"}],"funders":[{"id":"https://openalex.org/F4320335254","display_name":"Horizon 2020","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1929352279","https://openalex.org/W2007815473","https://openalex.org/W2009948657","https://openalex.org/W2027731328","https://openalex.org/W2069870183","https://openalex.org/W2112508839","https://openalex.org/W2131676173","https://openalex.org/W2132396970","https://openalex.org/W2168006621","https://openalex.org/W2604291988","https://openalex.org/W2734755249","https://openalex.org/W2752885492","https://openalex.org/W2892821876","https://openalex.org/W2920159068","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2058965144","https://openalex.org/W2164382479","https://openalex.org/W2095055219","https://openalex.org/W2482527088","https://openalex.org/W2362374543","https://openalex.org/W2116295091","https://openalex.org/W4319430205","https://openalex.org/W3121711078","https://openalex.org/W2085265870","https://openalex.org/W2348196682"],"abstract_inverted_index":{"Several":[0],"Web":[1,90],"search":[2],"services":[3],"enable":[4],"their":[5],"users":[6],"with":[7,108,171,181],"the":[8,12,28,38,50,53,64,89,113,116,127,134,144,166,184],"possibility":[9],"of":[10,14,52,115,136,151,169,174,179],"sorting":[11,27],"list":[13,66],"results":[15,29,36,62],"by":[16,30],"a":[17,44,148,172],"specific":[18],"attribute,":[19],"e.g.,":[20],"sort":[21],"\"by":[22],"price\"":[23],"in":[24,37,88],"e-commerce.":[25],"However,":[26,83],"attribute":[31],"could":[32],"bring":[33],"marginally":[34],"relevant":[35],"top":[39],"positions":[40],"thus":[41],"leading":[42],"to":[43,60,67,77,93,176,183],"poor":[45],"user":[46],"experience.":[47],"This":[48,57],"motivates":[49],"definition":[51],"relevance-aware":[54],"filtering":[55],"problem.":[56],"problem":[58,79],"asks":[59],"remove":[61],"from":[63],"attribute-sorted":[65],"maximize":[68],"its":[69,94,137],"final":[70,117],"overall":[71],"relevance.":[72],"Recently,":[73],"an":[74,104,122],"optimal":[75,185],"solution":[76,138,186],"this":[78,99],"has":[80,85],"been":[81],"proposed.":[82],"it":[84],"strong":[86,109],"limitations":[87],"scenario":[91],"due":[92],"high":[95],"computational":[96],"cost.":[97],"In":[98],"paper,":[100],"we":[101],"propose":[102],"\u03f5-Filtering:":[103],"efficient":[105],"approximate":[106],"algorithm":[107,129],"approximation":[110,124,191],"guarantees":[111],"on":[112,156],"relevance":[114,135],"list.":[118],"More":[119],"precisely,":[120],"given":[121],"allowed":[123],"error":[125],"\u03f5,":[126],"proposed":[128],"finds":[130],"a(1-\u03f5)\"optimal":[131],"filtering,":[132],"i.e.,":[133],"is":[139],"at":[140],"least":[141],"(1-\u03f5)":[142],"times":[143],"optimum.":[145],"We":[146],"conduct":[147],"comprehensive":[149],"evaluation":[150],"\u03f5-Filtering":[152,164],"against":[153],"state-of-the-art":[154],"competitors":[155],"two":[157,177],"real-world":[158],"public":[159],"datasets.":[160],"Experiments":[161],"show":[162],"that":[163],"achieves":[165],"desired":[167],"levels":[168],"effectiveness":[170],"speedup":[173],"up":[175],"orders":[178],"magnitude":[180],"respect":[182],"while":[187],"guaranteeing":[188],"very":[189],"small":[190],"errors.":[192]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}