{"id":"https://openalex.org/W4414034961","doi":"https://doi.org/10.1145/3705328.3748136","title":"Location Matters: Leveraging Multi-Resolution Geo-Embeddings for Housing Search","display_name":"Location Matters: Leveraging Multi-Resolution Geo-Embeddings for Housing Search","publication_year":2025,"publication_date":"2025-09-06","ids":{"openalex":"https://openalex.org/W4414034961","doi":"https://doi.org/10.1145/3705328.3748136"},"language":"en","primary_location":{"id":"doi:10.1145/3705328.3748136","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3705328.3748136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2510.01196","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119564712","display_name":"Ivo Silva","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ivo Silva","raw_affiliation_strings":["QuintoAndar, Lisbon, Portugal"],"raw_orcid":"https://orcid.org/0009-0001-3800-9794","affiliations":[{"raw_affiliation_string":"QuintoAndar, Lisbon, Portugal","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116425505","display_name":"Guilherme G. Bonaldo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guilherme Bonaldo","raw_affiliation_strings":["QuintoAndar, Lisbon, Portugal"],"raw_orcid":"https://orcid.org/0009-0002-7829-323X","affiliations":[{"raw_affiliation_string":"QuintoAndar, Lisbon, Portugal","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116425506","display_name":"Pedro F. Nogueira","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pedro Nogueira","raw_affiliation_strings":["QuintoAndar, Lisbon, Portugal"],"raw_orcid":"https://orcid.org/0009-0003-6146-5039","affiliations":[{"raw_affiliation_string":"QuintoAndar, Lisbon, Portugal","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5119564712"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.34224034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1006","last_page":"1009"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9969000220298767,"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":0.9969000220298767,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9965000152587891,"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/T11106","display_name":"Data Management and Algorithms","score":0.9950000047683716,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6906999945640564},{"id":"https://openalex.org/keywords/renting","display_name":"Renting","score":0.6211000084877014},{"id":"https://openalex.org/keywords/property","display_name":"Property (philosophy)","score":0.5748000144958496},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.511900007724762},{"id":"https://openalex.org/keywords/geocoding","display_name":"Geocoding","score":0.5094000101089478},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5037000179290771},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.4912000000476837}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6906999945640564},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6491000056266785},{"id":"https://openalex.org/C85502023","wikidata":"https://www.wikidata.org/wiki/Q157171","display_name":"Renting","level":2,"score":0.6211000084877014},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.5748000144958496},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.511900007724762},{"id":"https://openalex.org/C42629822","wikidata":"https://www.wikidata.org/wiki/Q1346408","display_name":"Geocoding","level":2,"score":0.5094000101089478},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5037000179290771},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.4912000000476837},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.4065999984741211},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35740000009536743},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.3271999955177307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3077000081539154},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2957000136375427},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.27880001068115234},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26100000739097595},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.2540999948978424}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3705328.3748136","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3705328.3748136","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2510.01196","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.01196","pdf_url":"https://arxiv.org/pdf/2510.01196","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2510.01196","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.01196","pdf_url":"https://arxiv.org/pdf/2510.01196","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":2,"referenced_works":["https://openalex.org/W2054141820","https://openalex.org/W2972801466"],"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":{"QuintoAndar":[0],"Group":[1],"is":[2,83],"Latin":[3],"America's":[4],"largest":[5],"housing":[6,19,101],"platform,":[7],"revolutionizing":[8],"property":[9,59],"rentals":[10],"and":[11,24,30,64,97,132,147],"sales.":[12],"Headquartered":[13],"in":[14,100,160],"Brazil,":[15],"it":[16,56],"simplifies":[17],"the":[18,44],"process":[20],"by":[21],"eliminating":[22],"paperwork":[23],"enhancing":[25],"accessibility":[26],"for":[27,37,85],"tenants,":[28],"buyers,":[29],"landlords.":[31],"With":[32],"thousands":[33],"of":[34],"houses":[35],"available":[36],"each":[38],"city,":[39],"users":[40],"struggle":[41],"to":[42,62,94],"find":[43],"ideal":[45],"home.":[46],"In":[47],"this":[48],"context,":[49],"location":[50,69,80],"plays":[51],"a":[52,73,90,118,127,133,157],"pivotal":[53],"role,":[54],"as":[55],"significantly":[57],"influences":[58],"value,":[60],"access":[61],"amenities,":[63],"life":[65],"quality.":[66,162],"A":[67],"great":[68],"can":[70],"make":[71],"even":[72],"modest":[74],"home":[75],"highly":[76],"desirable.":[77],"Therefore,":[78],"incorporating":[79],"into":[81,117],"recommendations":[82,102],"essential":[84],"their":[86],"effectiveness.":[87],"We":[88,122],"propose":[89],"geo-aware":[91],"embedding":[92,150],"framework":[93],"address":[95],"sparsity":[96],"spatial":[98],"nuances":[99],"on":[103],"digital":[104],"rental":[105],"platforms.":[106],"Our":[107],"approach":[108],"integrates":[109],"an":[110],"hierarchical":[111],"H3":[112],"grid":[113],"at":[114],"multiple":[115],"levels":[116],"two-tower":[119],"neural":[120],"architecture.":[121],"compare":[123],"our":[124,140],"method":[125],"with":[126],"traditional":[128],"matrix":[129],"factorization":[130],"baseline":[131],"single-resolution":[134],"variant":[135],"using":[136],"interaction":[137],"data":[138],"from":[139],"platform.":[141],"Embedding":[142],"specific":[143],"evaluation":[144],"reveals":[145],"richer":[146],"more":[148],"balanced":[149],"representations,":[151],"while":[152],"offline":[153],"ranking":[154],"simulations":[155],"demonstrate":[156],"substantial":[158],"uplift":[159],"recommendation":[161]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
