{"id":"https://openalex.org/W7114899856","doi":"https://doi.org/10.1145/3748636.3764175","title":"Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places","display_name":"Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W7114899856","doi":"https://doi.org/10.1145/3748636.3764175"},"language":null,"primary_location":{"id":"doi:10.1145/3748636.3764175","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3764175","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3748636.3764175","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Xinglei Wang","orcid":"https://orcid.org/0000-0002-9824-7663"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xinglei Wang","raw_affiliation_strings":["SpaceTimeLab, University College London, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-9824-7663","affiliations":[{"raw_affiliation_string":"SpaceTimeLab, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tao Cheng","orcid":"https://orcid.org/0000-0002-5503-9813"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tao Cheng","raw_affiliation_strings":["SpaceTimeLab, University College London, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-5503-9813","affiliations":[{"raw_affiliation_string":"SpaceTimeLab, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Stephen Law","orcid":"https://orcid.org/0000-0003-3184-572X"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stephen Law","raw_affiliation_strings":["Department of Geography, University College London, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0003-3184-572X","affiliations":[{"raw_affiliation_string":"Department of Geography, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zichao Zeng","orcid":"https://orcid.org/0009-0002-8975-875X"},"institutions":[{"id":"https://openalex.org/I3148377317","display_name":"Department of Space","ror":"https://ror.org/000kjq947","country_code":"IN","type":"government","lineage":["https://openalex.org/I3148377317"]},{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB","IN"],"is_corresponding":false,"raw_author_name":"Zichao Zeng","raw_affiliation_strings":["3DIMPact &amp; SpaceTimeLab, University College London, London, United Kingdom"],"raw_orcid":"https://orcid.org/0009-0002-8975-875X","affiliations":[{"raw_affiliation_string":"3DIMPact &amp; SpaceTimeLab, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I3148377317","https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ilya Ilyankou","orcid":"https://orcid.org/0009-0008-7082-7122"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ilya Ilyankou","raw_affiliation_strings":["SpaceTimeLab, University College London, London, United Kingdom"],"raw_orcid":"https://orcid.org/0009-0008-7082-7122","affiliations":[{"raw_affiliation_string":"SpaceTimeLab, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Junyuan Liu","orcid":"https://orcid.org/0009-0009-7194-6868"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Junyuan Liu","raw_affiliation_strings":["SpaceTimeLab, University College London, London, United Kingdom"],"raw_orcid":"https://orcid.org/0009-0009-7194-6868","affiliations":[{"raw_affiliation_string":"SpaceTimeLab, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Lu Yin","orcid":"https://orcid.org/0000-0002-4075-0848"},"institutions":[{"id":"https://openalex.org/I28290843","display_name":"University of Surrey","ror":"https://ror.org/00ks66431","country_code":"GB","type":"education","lineage":["https://openalex.org/I28290843"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lu Yin","raw_affiliation_strings":["School of Computer Science and Electronic Engineering, University of Surrey, Surrey, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-4075-0848","affiliations":[{"raw_affiliation_string":"School of Computer Science and Electronic Engineering, University of Surrey, Surrey, United Kingdom","institution_ids":["https://openalex.org/I28290843"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weiming Huang","orcid":"https://orcid.org/0000-0002-3208-4208"},"institutions":[{"id":"https://openalex.org/I130828816","display_name":"University of Leeds","ror":"https://ror.org/024mrxd33","country_code":"GB","type":"education","lineage":["https://openalex.org/I130828816"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Weiming Huang","raw_affiliation_strings":["School of Geography, University of Leeds, Leeds, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-3208-4208","affiliations":[{"raw_affiliation_string":"School of Geography, University of Leeds, Leeds, United Kingdom","institution_ids":["https://openalex.org/I130828816"]}]},{"author_position":"last","author":{"id":null,"display_name":"Natchapon Jongwiriyanurak","orcid":"https://orcid.org/0000-0002-6188-8432"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Natchapon Jongwiriyanurak","raw_affiliation_strings":["SpaceTimeLab, University College London, London, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-6188-8432","affiliations":[{"raw_affiliation_string":"SpaceTimeLab, University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1657,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.96007463,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1046","last_page":"1055"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.95169997215271,"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"}},"topics":[{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.95169997215271,"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"}},{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.024900000542402267,"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/T10298","display_name":"Urban Transport and Accessibility","score":0.005100000184029341,"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/limiting","display_name":"Limiting","score":0.576200008392334},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5710999965667725},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.538100004196167},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5063999891281128},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5011000037193298},{"id":"https://openalex.org/keywords/individual-mobility","display_name":"Individual mobility","score":0.4189999997615814},{"id":"https://openalex.org/keywords/inductive-bias","display_name":"Inductive bias","score":0.4154999852180481},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.37950000166893005}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6859999895095825},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.576200008392334},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5710999965667725},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.538100004196167},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5063999891281128},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5011000037193298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4498000144958496},{"id":"https://openalex.org/C2778068325","wikidata":"https://www.wikidata.org/wiki/Q19892785","display_name":"Individual mobility","level":2,"score":0.4189999997615814},{"id":"https://openalex.org/C197352929","wikidata":"https://www.wikidata.org/wiki/Q1074074","display_name":"Inductive bias","level":4,"score":0.4154999852180481},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38269999623298645},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.37950000166893005},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.37279999256134033},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3571000099182129},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3361999988555908},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.32919999957084656},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3228999972343445},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3111000061035156},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30630001425743103},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.2939999997615814},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.26930001378059387},{"id":"https://openalex.org/C159620131","wikidata":"https://www.wikidata.org/wiki/Q1938983","display_name":"Spatial analysis","level":2,"score":0.2603999972343445},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.2540000081062317},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3748636.3764175","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3764175","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3748636.3764175","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3748636.3764175","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8154249787330627,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1805473247","https://openalex.org/W1884496932","https://openalex.org/W2071702404","https://openalex.org/W2110953678","https://openalex.org/W2604411573","https://openalex.org/W2760942449","https://openalex.org/W2807954821","https://openalex.org/W2962949580","https://openalex.org/W2964057288","https://openalex.org/W2990520530","https://openalex.org/W3040157551","https://openalex.org/W3128184560","https://openalex.org/W3173650575","https://openalex.org/W3214340375","https://openalex.org/W3217016897","https://openalex.org/W4319336084","https://openalex.org/W4384010587","https://openalex.org/W4385348321","https://openalex.org/W4386589995","https://openalex.org/W4406780241","https://openalex.org/W4409368417","https://openalex.org/W4409965300"],"related_works":[],"abstract_inverted_index":{"Predicting":[0],"individuals'":[1],"next":[2],"locations":[3],"is":[4],"a":[5],"core":[6],"task":[7],"in":[8,85,105,134],"human":[9,152],"mobility":[10,23,35,87,116,153],"modelling,":[11],"with":[12],"wide-ranging":[13],"implications":[14],"for":[15],"urban":[16,47],"planning,":[17],"transportation,":[18],"public":[19,115],"policy":[20],"and":[21,50,73,96,121,161,167],"personalised":[22],"services.":[24],"Traditional":[25],"approaches":[26],"largely":[27],"depend":[28],"on":[29,113],"location":[30,83,145],"embeddings":[31,90,146],"learned":[32],"from":[33],"historical":[34],"patterns,":[36],"limiting":[37],"their":[38],"ability":[39],"to":[40,147,164],"encode":[41],"explicit":[42],"spatial":[43,71],"information,":[44],"integrate":[45],"rich":[46],"semantic":[48,74],"context,":[49],"accommodate":[51],"previously":[52],"unseen":[53],"locations.":[54,109],"To":[55],"address":[56],"these":[57],"challenges,":[58],"we":[59,124],"explore":[60],"the":[61,140,149,159],"application":[62],"of":[63,76,78,142,151],"CaLLiPer\u2014a":[64],"multi-modal":[65],"representation":[66],"learning":[67],"framework":[68],"that":[69,126],"fuses":[70],"coordinates":[72],"features":[75],"points":[77],"interest":[79],"through":[80],"contrastive":[81],"learning\u2014for":[82],"embedding":[84],"individual":[86],"prediction.":[88],"CaLLiPer's":[89],"are":[91],"spatially":[92],"explicit,":[93],"semantically":[94],"enriched,":[95],"inductive":[97,122,135,144],"by":[98],"design,":[99],"enabling":[100],"robust":[101],"prediction":[102,154],"performance":[103],"even":[104],"scenarios":[106],"involving":[107],"emerging":[108],"Through":[110],"extensive":[111],"experiments":[112],"four":[114],"datasets":[117],"under":[118],"both":[119],"conventional":[120],"settings,":[123],"demonstrate":[125],"CaLLiPer":[127],"consistently":[128],"outperforms":[129],"strong":[130],"baselines,":[131],"particularly":[132],"excelling":[133],"scenarios.":[136],"Our":[137],"findings":[138],"highlight":[139],"potential":[141],"multi-modal,":[143],"advance":[148],"capabilities":[150],"systems.":[155],"We":[156],"also":[157],"release":[158],"code":[160],"data":[162],"(https://github.com/xlwang233/Into-the-Unknown)":[163],"foster":[165],"reproducibility":[166],"future":[168],"research.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-12-12T00:00:00"}
