{"id":"https://openalex.org/W7204777668","doi":"https://doi.org/10.48550/arxiv.2608.27840","title":"An Empirical Evaluation of Cross-City POI Recommendation on a Large-Scale Benchmark","display_name":"An Empirical Evaluation of Cross-City POI Recommendation on a Large-Scale Benchmark","publication_year":2026,"publication_date":"2026-08-28","ids":{"openalex":"https://openalex.org/W7204777668","doi":"https://doi.org/10.48550/arxiv.2608.27840"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2608.27840","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.27840","pdf_url":"https://arxiv.org/pdf/2608.27840","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2608.27840","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055562440","display_name":"Peibo Li","orcid":"https://orcid.org/0009-0001-0201-3564","observed_orcids":["https://orcid.org/0009-0001-0201-3564"]},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Li, Peibo","raw_affiliation_strings":["University of New South Wales Sydney , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales Sydney , Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148769693","display_name":"Yang Song","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Song, Yang","raw_affiliation_strings":["University of New South Wales Sydney , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales Sydney , Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148800037","display_name":"Hao Xue","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405261251","display_name":"The Hong Kong University of Science and Technology (Guangzhou)","ror":"https://ror.org/050h0vm43","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405261251"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xue, Hao","raw_affiliation_strings":["The Hong Kong University of Science and Technology (Guangzhou) Guangzhou , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology (Guangzhou) Guangzhou , China","institution_ids":["https://openalex.org/I4405261251"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031439294","display_name":"Maarten de Rijke","orcid":"https://orcid.org/0000-0002-1086-0202","observed_orcids":["https://orcid.org/0000-0002-1086-0202"]},"institutions":[{"id":"https://openalex.org/I887064364","display_name":"University of Amsterdam","ror":"https://ror.org/04dkp9463","country_code":"NL","type":"education","lineage":["https://openalex.org/I887064364"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"de Rijke, Maarten","raw_affiliation_strings":["University of Amsterdam The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Amsterdam The Netherlands","institution_ids":["https://openalex.org/I887064364"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124946019","display_name":"Flora D. Salim","orcid":"https://orcid.org/0000-0002-1237-1664","observed_orcids":["https://orcid.org/0000-0002-1237-1664"]},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Salim, Flora D.","raw_affiliation_strings":["University of New South Wales Sydney , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of New South Wales Sydney , Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":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":0.9990000128746033,"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":0.9990000128746033,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.0007999999797903001,"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/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/semantic-metadata","display_name":"semantic metadata","score":0.628000020980835},{"id":"https://openalex.org/keywords/next-poi-recommendation","display_name":"next POI recommendation","score":0.8399999737739563},{"id":"https://openalex.org/keywords/accuracy-efficiency-trade-off","display_name":"accuracy-efficiency trade-off","score":0.8349999785423279},{"id":"https://openalex.org/keywords/urban-navigation","display_name":"urban navigation","score":0.5260000228881836}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.779699981212616},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7549999952316284},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.5878000259399414},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5667999982833862},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5447999835014343},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5299999713897705},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.46149998903274536},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.39750000834465027},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.38190001249313354},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.37389999628067017},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36800000071525574},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3634999990463257},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3440999984741211},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3391999900341034},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.30720001459121704},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.2985999882221222},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.29510000348091125},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.2897999882698059},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.28369998931884766},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.27649998664855957},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2608.27840","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.27840","pdf_url":"https://arxiv.org/pdf/2608.27840","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2608.27840","doi":"https://doi.org/10.48550/arxiv.2608.27840","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.27840","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2608.27840","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.27840","pdf_url":"https://arxiv.org/pdf/2608.27840","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.8787999749183655,"id":"https://metadata.un.org/sdg/11"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7204777668.pdf","grobid_xml":"https://content.openalex.org/works/W7204777668.grobid-xml"},"referenced_works_count":3,"referenced_works":["https://openalex.org/W1962871885","https://openalex.org/W4399355772","https://openalex.org/W4415249946"],"related_works":["https://openalex.org/W4385270215","https://openalex.org/W3007674884","https://openalex.org/W4405443900","https://openalex.org/W7220689118","https://openalex.org/W4323074001","https://openalex.org/W4396794084","https://openalex.org/W4381379021","https://openalex.org/W3095041828","https://openalex.org/W2889535606","https://openalex.org/W3036512266"],"abstract_inverted_index":{"Cross-city":[0],"point-of-interest":[1],"(POI)":[2],"recommendation":[3],"is":[4,90,133],"crucial":[5],"for":[6,98,143],"navigating":[7],"unfamiliar":[8],"urban":[9],"environments,":[10],"yet":[11],"its":[12],"progress":[13],"has":[14],"historically":[15],"been":[16],"constrained":[17],"by":[18],"data":[19],"limitations.":[20],"Using":[21],"the":[22,87,92,129,136,141],"recently":[23],"proposed":[24],"large-scale":[25],"benchmark":[26],"Trip":[27],"World,":[28],"we":[29],"empirically":[30],"re-examine":[31],"whether":[32],"conclusions":[33],"drawn":[34],"on":[35,70,74,111],"small":[36],"prior":[37,126],"benchmarks":[38],"still":[39],"hold":[40],"under":[41],"worldwide":[42],"coverage,":[43],"low":[44],"home-destination":[45],"region":[46],"overlap,":[47],"and":[48,94,153],"large,":[49],"semantically":[50],"rich":[51],"POI":[52],"inventories.":[53,159],"Our":[54],"evaluation":[55],"surfaces":[56],"three":[57],"bottlenecks":[58],"of":[59],"representative":[60],"state-of-the-art":[61],"methods:":[62],"(1)":[63],"hometown-aware":[64],"models":[65],"appear":[66],"to":[67],"rely":[68],"more":[69],"destination-region":[71],"priors":[72],"than":[73],"user-specific":[75],"preference":[76,149],"transfer;":[77],"(2)":[78],"their":[79],"accuracy-efficiency":[80],"trade-off":[81],"degrades":[82],"at":[83],"this":[84],"scale,":[85],"where":[86],"simplest":[88],"model":[89],"among":[91],"strongest;":[93],"(3)":[95],"existing":[96],"mechanisms":[97],"integrating":[99],"semantic":[100,131,151],"metadata":[101],"yield":[102],"little":[103],"benefit.":[104],"We":[105],"further":[106],"include":[107],"a":[108,123],"diagnostic":[109],"pilot":[110],"agentic":[112],"methods":[113],"adapted":[114],"from":[115],"next-POI":[116],"recommendation,":[117],"finding":[118],"that":[119,146],"naive":[120],"adaptation":[121],"trails":[122],"simple":[124],"popularity":[125],"even":[127],"though":[128],"relevant":[130],"signal":[132],"present":[134],"in":[135],"data.":[137],"These":[138],"results":[139],"highlight":[140],"need":[142],"task-specific":[144],"designs":[145],"support":[147],"cross-city":[148],"transfer,":[150],"grounding,":[152],"scalable":[154],"reasoning":[155],"over":[156],"unseen":[157],"destination":[158]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-09-01T00:00:00"}
