{"id":"https://openalex.org/W7170155152","doi":"https://doi.org/10.1007/s43621-026-04065-0","title":"AI-driven hybrid recommender model for personalized residential property selection in chennai based on flood risk, sustainability, and proximity","display_name":"AI-driven hybrid recommender model for personalized residential property selection in chennai based on flood risk, sustainability, and proximity","publication_year":2026,"publication_date":"2026-07-23","ids":{"openalex":"https://openalex.org/W7170155152","doi":"https://doi.org/10.1007/s43621-026-04065-0"},"language":"en","primary_location":{"id":"doi:10.1007/s43621-026-04065-0","doi":"https://doi.org/10.1007/s43621-026-04065-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43621-026-04065-0","pdf_url":null,"source":{"id":"https://openalex.org/S4210179043","display_name":"Discover Sustainability","issn_l":"2662-9984","issn":["2662-9984"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Sustainability","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s43621-026-04065-0","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5120060547","display_name":"G. Garmel Shiney","orcid":"https://orcid.org/0009-0003-3869-0115","observed_orcids":["https://orcid.org/0009-0003-3869-0115"]},"institutions":[{"id":"https://openalex.org/I94948490","display_name":"B.S. Abdur Rahman Crescent Institute of Science & Technology","ror":"https://ror.org/01fqhas03","country_code":"IN","type":"education","lineage":["https://openalex.org/I94948490"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"G. Garmel Shiney","raw_affiliation_strings":["Department of Civil Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Vandalur, Chennai, 600048, India"],"raw_orcid":"https://orcid.org/0009-0003-3869-0115","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Vandalur, Chennai, 600048, India","institution_ids":["https://openalex.org/I94948490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5120060548","display_name":"K. Yogeswari","orcid":"https://orcid.org/0000-0002-7533-5193","observed_orcids":["https://orcid.org/0000-0002-7533-5193"]},"institutions":[{"id":"https://openalex.org/I94948490","display_name":"B.S. Abdur Rahman Crescent Institute of Science & Technology","ror":"https://ror.org/01fqhas03","country_code":"IN","type":"education","lineage":["https://openalex.org/I94948490"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Dr K. Yogeswari","raw_affiliation_strings":["Department of Civil Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Vandalur, Chennai, 600048, India"],"raw_orcid":"https://orcid.org/0000-0002-7533-5193","affiliations":[{"raw_affiliation_string":"Department of Civil Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Vandalur, Chennai, 600048, India","institution_ids":["https://openalex.org/I94948490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5120060548"],"corresponding_institution_ids":["https://openalex.org/I94948490"],"apc_list":{"value":1390,"currency":"USD","value_usd":1390},"apc_paid":{"value":1390,"currency":"USD","value_usd":1390},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.57767041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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/T10632","display_name":"Housing Market and Economics","score":9.999999747378752e-05,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hybrid-recommendation","display_name":"hybrid recommendation","score":0.8650000095367432},{"id":"https://openalex.org/keywords/flood-risk","display_name":"flood risk","score":0.7369999885559082},{"id":"https://openalex.org/keywords/sustainable-housing","display_name":"sustainable housing","score":0.7350000143051147},{"id":"https://openalex.org/keywords/proximal-policy-optimization","display_name":"proximal policy optimization","score":0.8050000071525574},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"reinforcement learning","score":0.8019999861717224},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"collaborative filtering","score":0.9959999918937683},{"id":"https://openalex.org/keywords/content-based-filtering","display_name":"content-based filtering","score":0.9990000128746033},{"id":"https://openalex.org/keywords/user-preferences","display_name":"user preferences","score":0.5099999904632568}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7566999793052673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6722999811172485},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.6510000228881836},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.6341999769210815},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6116999983787537},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6078000068664551},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.60589998960495},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6008999943733215},{"id":"https://openalex.org/C66204764","wikidata":"https://www.wikidata.org/wiki/Q219416","display_name":"Sustainability","level":2,"score":0.5842999815940857},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.4982999861240387},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47350001335144043},{"id":"https://openalex.org/C2778362435","wikidata":"https://www.wikidata.org/wiki/Q867393","display_name":"Amenity","level":2,"score":0.38659998774528503},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.35910001397132874},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.3580000102519989},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.34380000829696655},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C2780150774","wikidata":"https://www.wikidata.org/wiki/Q252500","display_name":"User profile","level":2,"score":0.33489999175071716},{"id":"https://openalex.org/C82279013","wikidata":"https://www.wikidata.org/wiki/Q684740","display_name":"Real estate","level":2,"score":0.33410000801086426},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3336000144481659},{"id":"https://openalex.org/C186594467","wikidata":"https://www.wikidata.org/wiki/Q1429176","display_name":"Flooding (psychology)","level":2,"score":0.3165000081062317},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3163999915122986},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.31029999256134033},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29820001125335693},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2897999882698059},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C2781368080","wikidata":"https://www.wikidata.org/wiki/Q501688","display_name":"Context awareness","level":3,"score":0.2784999907016754},{"id":"https://openalex.org/C196126337","wikidata":"https://www.wikidata.org/wiki/Q821080","display_name":"Mashup","level":4,"score":0.27239999175071716},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.2712000012397766},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.26100000739097595},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2531000077724457},{"id":"https://openalex.org/C89591040","wikidata":"https://www.wikidata.org/wiki/Q1779030","display_name":"Ideal solution","level":2,"score":0.2529999911785126},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s43621-026-04065-0","doi":"https://doi.org/10.1007/s43621-026-04065-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43621-026-04065-0","pdf_url":null,"source":{"id":"https://openalex.org/S4210179043","display_name":"Discover Sustainability","issn_l":"2662-9984","issn":["2662-9984"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Sustainability","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s43621-026-04065-0","doi":"https://doi.org/10.1007/s43621-026-04065-0","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s43621-026-04065-0","pdf_url":null,"source":{"id":"https://openalex.org/S4210179043","display_name":"Discover Sustainability","issn_l":"2662-9984","issn":["2662-9984"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Sustainability","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":1.0,"display_name":"Sustainable cities and communities"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,52,85,161,195,221],"real":[1],"estate":[2],"sector":[3],"in":[4,90,231,242],"Chennai":[5],"is":[6,93,103],"going":[7],"through":[8],"a":[9,57,79,96],"dramatic":[10],"change":[11],"and":[12,25,49,99,128,130,142,152,170,186,210,213,238],"home-buyers":[13],"are":[14,34,111,133],"looking":[15],"for":[16,202],"homes":[17],"that":[18,110],"embody":[19],"their":[20],"notions":[21],"of":[22,45,64,78,87,119,125],"safety,":[23],"sustainability":[24,50,127],"access":[26],"to":[27,36,105,113,144,157,177,216],"services.":[28],"However,":[29],"traditional":[30,218],"property":[31,101,108,229],"search":[32],"engines":[33],"unable":[35],"take":[37],"into":[38,136],"account":[39],"all":[40],"factors":[41],"affecting":[42],"the":[43,62,76,88,91,114,120,137,145,159,175,180,198,217,225],"selection":[44,230],"properties,":[46],"including":[47,123],"flood":[48],"risk.":[51],"paper":[53],"will":[54,223],"be":[55,240],"discussing":[56],"hybrid":[58],"recommender":[59,200,219],"system":[60,162,201],"with":[61,75,207,235],"help":[63,77],"collaborative":[65,181],"filtering,":[66],"content-based":[67],"filtering":[68,182],"algorithms,":[69,71],"ranking":[70],"reinforcement":[72],"learning":[73],"(RL)":[74],"Proximal":[80],"Policy":[81],"Optimization":[82],"(PPO)":[83],"algorithm.":[84],"input":[86],"user":[89,193],"organization":[92],"achieved":[94,163],"by":[95],"standardized":[97],"questionnaire,":[98],"real-time":[100],"data":[102],"used":[104,156],"provide":[106],"customized":[107,112,208],"suggestions":[109],"users\u2019":[115],"needs":[116],"dynamically.":[117],"Some":[118],"main":[121],"challenges,":[122],"risk":[124],"flooding,":[126],"amenity":[129],"location":[131],"factors,":[132],"being":[134],"incorporated":[135],"recommendations,":[138],"adding":[139],"context":[140],"sensitivity":[141],"responsiveness":[143],"environmental":[146],"challenges.":[147],"Data":[148],"from":[149,246],"500":[150],"participants":[151],"200":[153,189],"properties":[154,206],"were":[155],"validate":[158,197],"system.":[160],"99.92%":[164],"precision,":[165],"99.96%":[166],"recall,":[167],"99.85%":[168],"F1-score,":[169],"85.2%":[171],"NDCG@10.":[172],"PPO":[173],"enabled":[174],"model":[176],"dynamically":[178,203],"adjust":[179],"weight":[183],"between":[184],"0.41":[185],"0.50":[187],"across":[188],"epochs":[190],"based":[191],"on":[192],"preferences.":[194],"results":[196],"proposed":[199],"suggesting":[204],"available":[205],"recommendation":[209],"its":[211],"flexibility":[212],"scalability":[214],"compared":[215],"systems.":[220],"research":[222],"pave":[224],"way":[226],"towards":[227],"improved":[228],"flood-prone":[232],"urban":[233],"environment":[234],"climate":[236],"consciousness":[237],"can":[239],"applied":[241],"other":[243],"cities":[244],"suffering":[245],"similar":[247],"issues.":[248]},"counts_by_year":[],"updated_date":"2026-09-26T08:19:03.415552","created_date":"2026-07-24T00:00:00"}
