{"id":"https://openalex.org/W4410637051","doi":"https://doi.org/10.1145/3701716.3717367","title":"Enhancing Real Estate Valuation through Deep Modeling of Spatiotemporal Dependencies and Feature Interactions","display_name":"Enhancing Real Estate Valuation through Deep Modeling of Spatiotemporal Dependencies and Feature Interactions","publication_year":2025,"publication_date":"2025-05-08","ids":{"openalex":"https://openalex.org/W4410637051","doi":"https://doi.org/10.1145/3701716.3717367"},"language":"en","primary_location":{"id":"doi:10.1145/3701716.3717367","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3717367","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3717367","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3717367","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Lin Xu","orcid":"https://orcid.org/0009-0007-2450-0914"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Xu","raw_affiliation_strings":["Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0009-0007-2450-0914","affiliations":[{"raw_affiliation_string":"Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100370856","display_name":"Yuankai Wu","orcid":"https://orcid.org/0000-0003-4435-9413"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuankai Wu","raw_affiliation_strings":["Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-4435-9413","affiliations":[{"raw_affiliation_string":"Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2341","last_page":"2350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10632","display_name":"Housing Market and Economics","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9258999824523926,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10698","display_name":"Transportation Planning and Optimization","score":0.9142000079154968,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/valuation","display_name":"Valuation (finance)","score":0.6917650103569031},{"id":"https://openalex.org/keywords/real-estate","display_name":"Real estate","score":0.6344468593597412},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5802811980247498},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5263004302978516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4706113934516907},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43707743287086487},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34409964084625244},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.19793301820755005},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.16988909244537354}],"concepts":[{"id":"https://openalex.org/C186027771","wikidata":"https://www.wikidata.org/wiki/Q4008379","display_name":"Valuation (finance)","level":2,"score":0.6917650103569031},{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.6344468593597412},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5802811980247498},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5263004302978516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4706113934516907},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43707743287086487},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34409964084625244},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.19793301820755005},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.16988909244537354},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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":1,"locations":[{"id":"doi:10.1145/3701716.3717367","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3717367","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3717367","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3701716.3717367","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3701716.3717367","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3701716.3717367","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM on Web Conference 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8168896519","display_name":null,"funder_award_id":"62406206","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4410637051.pdf","grobid_xml":"https://content.openalex.org/works/W4410637051.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1499550068","https://openalex.org/W1579298828","https://openalex.org/W1930624869","https://openalex.org/W1971794754","https://openalex.org/W2028226037","https://openalex.org/W2049743915","https://openalex.org/W2051688880","https://openalex.org/W2118898434","https://openalex.org/W2131773668","https://openalex.org/W2133757074","https://openalex.org/W2295598076","https://openalex.org/W2475334473","https://openalex.org/W2604662567","https://openalex.org/W2608239929","https://openalex.org/W2911964244","https://openalex.org/W3123181830","https://openalex.org/W3174082502","https://openalex.org/W3174086521","https://openalex.org/W4235929402","https://openalex.org/W4239510810","https://openalex.org/W4310895557","https://openalex.org/W4361193136","https://openalex.org/W4372283338","https://openalex.org/W6682176740","https://openalex.org/W6739901393","https://openalex.org/W6744580074","https://openalex.org/W6752040014","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W2267291520","https://openalex.org/W1570557499","https://openalex.org/W2338356869","https://openalex.org/W2339666525","https://openalex.org/W2229866233","https://openalex.org/W2611341084","https://openalex.org/W3123266604","https://openalex.org/W1161845713","https://openalex.org/W2746043536","https://openalex.org/W610585721"],"abstract_inverted_index":{"Real":[0],"estate":[1,37,71,129],"valuation":[2,130],"is":[3,187],"crucial":[4],"for":[5],"both":[6,89],"economic":[7],"stability":[8],"and":[9,21,59,62,96,182],"societal":[10],"development.":[11],"Accurate":[12],"property":[13,45],"valuations":[14],"are":[15],"essential":[16],"in":[17,25,52,63,69,174],"guiding":[18],"individual":[19],"decisions":[20],"macroeconomic":[22],"policies,":[23],"especially":[24],"the":[26,54,65,114,141,157,168],"context":[27],"of":[28,159],"rapid":[29],"urbanization.":[30],"Recent":[31],"web":[32],"platforms":[33],"have":[34],"transformed":[35],"real":[36,70,128],"markets":[38],"by":[39,177],"using":[40],"data-driven":[41,134],"models":[42,92,106],"to":[43,107,122,155],"predict":[44],"values.":[46],"Despite":[47],"these":[48,75],"advancements,":[49],"challenges":[50],"remain":[51],"modeling":[53,179],"complex":[55,109],"interactions":[56,143,181],"between":[57,144],"continuous":[58],"categorical":[60],"factors":[61],"addressing":[64],"spatio-temporal":[66],"dependencies":[67],"inherent":[68],"transactions.":[72,161],"To":[73],"address":[74],"challenges,":[76],"we":[77,138,147],"propose":[78],"TabularCNP":[79],"(Tabular":[80],"Conditional":[81,97],"Neural":[82,98],"Process),":[83],"a":[84,132,149],"novel":[85],"framework":[86,102],"that":[87],"leverages":[88],"deep":[90,104],"learning":[91,136],"on":[93,118,164],"tabular":[94,105,133],"data":[95],"Processes":[99],"(CNPs).":[100],"The":[101,185],"incorporates":[103],"handle":[108],"feature":[110],"interactions,":[111],"while":[112],"conditioning":[113],"target":[115],"property's":[116],"value":[117],"nearby":[119,160],"recent":[120],"sales":[121],"capture":[123,156],"spatiotemporal":[124,183],"dependencies.":[125],"By":[126],"transforming":[127],"into":[131],"machine":[135],"task,":[137],"effectively":[139,178],"consider":[140],"intricate":[142],"features.":[145],"Additionally,":[146],"introduce":[148],"CNP-":[150],"-based":[151],"event":[152],"logging":[153],"module":[154],"influence":[158],"Extensive":[162],"experiments":[163],"real-world":[165],"datasets":[166],"validate":[167],"proposed":[169],"framework,":[170],"demonstrating":[171],"significant":[172],"improvements":[173],"prediction":[175],"accuracy":[176],"multifactor":[180],"dynamics.":[184],"code":[186],"available":[188],"at":[189],"https://anonymous.4open.science/r/TabularCNP-EE04/.":[190]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
