{"id":"https://openalex.org/W4413755856","doi":"https://doi.org/10.14778/3718057.3718064","title":"GeoBloom: Revisiting Lightweight Models for Geographic Information Retrieval","display_name":"GeoBloom: Revisiting Lightweight Models for Geographic Information Retrieval","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4413755856","doi":"https://doi.org/10.14778/3718057.3718064"},"language":"en","primary_location":{"id":"doi:10.14778/3718057.3718064","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3718057.3718064","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-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/A5100421812","display_name":"Yi Li","orcid":"https://orcid.org/0000-0003-4562-8208"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Yi Li","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045198704","display_name":"Gao Cong","orcid":"https://orcid.org/0000-0002-4430-6373"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Gao Cong","raw_affiliation_strings":["Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100421812"],"corresponding_institution_ids":["https://openalex.org/I172675005"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33510702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"18","issue":"5","first_page":"1348","last_page":"1361"},"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/T12016","display_name":"Web Data Mining and Analysis","score":0.9983000159263611,"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/T10757","display_name":"Geographic Information Systems Studies","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5529147982597351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5428895354270935}],"concepts":[{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5529147982597351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5428895354270935}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.14778/3718057.3718064","is_oa":false,"landing_page_url":"https://doi.org/10.14778/3718057.3718064","pdf_url":null,"source":{"id":"https://openalex.org/S4210226185","display_name":"Proceedings of the VLDB Endowment","issn_l":"2150-8097","issn":["2150-8097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the VLDB Endowment","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2003187951","https://openalex.org/W2069065514","https://openalex.org/W2101496611","https://openalex.org/W2112129327","https://openalex.org/W2123845384","https://openalex.org/W2126540423","https://openalex.org/W2131876387","https://openalex.org/W2136189984","https://openalex.org/W2140048308","https://openalex.org/W2144211451","https://openalex.org/W2156730765","https://openalex.org/W2250539671","https://openalex.org/W2505797416","https://openalex.org/W2604272474","https://openalex.org/W2750779823","https://openalex.org/W2912500072","https://openalex.org/W2953356739","https://openalex.org/W2962771342","https://openalex.org/W2963250244","https://openalex.org/W2990138404","https://openalex.org/W3034326350","https://openalex.org/W3099700870","https://openalex.org/W3126220825","https://openalex.org/W3140399761","https://openalex.org/W3142650592","https://openalex.org/W4243780314","https://openalex.org/W4254640581","https://openalex.org/W4291896414","https://openalex.org/W4292083459","https://openalex.org/W4302047290","https://openalex.org/W4380433176","https://openalex.org/W4410030866"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Geographic":[0],"Information":[1],"Retrieval":[2],"(GIR)":[3],"systems":[4],"process":[5],"text":[6,104,119],"queries":[7,39],"with":[8,62,68,141,146],"geographic":[9,14],"location":[10],"to":[11,102,114,129,199,206,220,226],"identify":[12],"relevant":[13],"objects":[15],"for":[16,27,240],"users.":[17],"Although":[18],"recent":[19],"advancements":[20],"have":[21],"leveraged":[22],"Pre-trained":[23],"Language":[24],"Models":[25],"(PLMs)":[26],"their":[28],"robust":[29,117],"semantic":[30],"comprehension,":[31],"these":[32],"models":[33],"typically":[34],"depend":[35],"on":[36,138,209],"extensive":[37],"labeled":[38,66,85],"and":[40,74,91,110,167,202,223,229],"require":[41],"considerable":[42],"computational":[43,93],"resources.":[44],"Deviating":[45],"from":[46],"this":[47],"prevailing":[48],"trend,":[49],"we":[50],"propose":[51],"GeoBloom,":[52],"a":[53,106,116,176],"lightweight":[54],"framework":[55],"that":[56,179,190],"surpasses":[57,192],"the":[58,82,131,154,157,181],"effectiveness":[59,145],"of":[60,84,133,160,214],"PLMs":[61],"fewer":[63,147],"or":[64],"no":[65],"queries,":[67,86],"remarkable":[69],"efficiency":[70,171],"in":[71,195,212],"both":[72,196],"time":[73,166],"space.":[75],"GeoBloom":[76,191,217],"tackles":[77],"critical":[78],"challenges":[79],"such":[80],"as":[81],"lack":[83],"low":[87,165],"data":[88],"(labeled)":[89],"efficiency,":[90,153],"high":[92],"demands.":[94],"At":[95],"its":[96],"core,":[97],"it":[98,237],"employs":[99],"Bloom":[100,124,161],"filters":[101],"encode":[103],"at":[105],"fine-grained":[107],"term":[108],"level":[109],"uses":[111],"intersecting":[112,135],"bits":[113],"create":[115],"unsupervised":[118,197],"similarity":[120],"metric.":[121],"A":[122],"specialized":[123],"Filter":[125],"Evaluator":[126],"is":[127,172],"proposed":[128],"assess":[130],"importance":[132],"each":[134],"bit,":[136],"focusing":[137],"those":[139],"associated":[140],"ground":[142],"truth,":[143],"improving":[144],"training":[148],"labels.":[149],"For":[150],"enhanced":[151],"search":[152,182],"evaluator":[155],"exploits":[156],"inherent":[158],"sparsity":[159],"filters,":[162],"achieving":[163],"remarkably":[164],"space":[168,183,232],"complexities.":[169],"This":[170],"further":[173],"boosted":[174],"by":[175],"tree-based":[177],"index":[178],"partitions":[180],"while":[184],"preserving":[185],"effectiveness.":[186],"Extensive":[187],"experiments":[188],"show":[189],"state-of-the-art":[193],"baselines":[194],"(up":[198,205],"15.66%":[200],"improvement)":[201,208],"supervised":[203],"settings":[204],"10.94%":[207],"real":[210],"datasets":[211],"terms":[213],"NDCG@5.":[215],"Furthermore,":[216],"operates":[218],"up":[219,225],"80x":[221],"faster":[222],"saves":[224],"74.72%":[227],"memory":[228],"87.64%":[230],"disk":[231],"over":[233],"PLM-based":[234],"alternatives,":[235],"rendering":[236],"highly":[238],"potent":[239],"real-world":[241],"applications.":[242]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
