{"id":"https://openalex.org/W7155496618","doi":"https://doi.org/10.48550/arxiv.2604.20846","title":"ADS-POI: Agentic Spatiotemporal State Decomposition for Next Point-of-Interest Recommendation","display_name":"ADS-POI: Agentic Spatiotemporal State Decomposition for Next Point-of-Interest Recommendation","publication_year":2026,"publication_date":"2026-02-10","ids":{"openalex":"https://openalex.org/W7155496618","doi":"https://doi.org/10.48550/arxiv.2604.20846"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.20846","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20846","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,"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"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.20846","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5134515081","display_name":"Zhenyu Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Zhenyu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134537945","display_name":"Chunlei Meng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Meng, Chunlei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037374299","display_name":"Yi Zeng","orcid":"https://orcid.org/0000-0002-0899-3786"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeng, Yangchen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133185467","display_name":"Mohd Yamani Idna Idris","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Idris, Mohd Yamani Idna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134507622","display_name":"Shuigeng Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Shuigeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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":0.8446999788284302,"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":0.8446999788284302,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.01860000006854534,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.009800000116229057,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/benchmark","display_name":"Benchmark (surveying)","score":0.6736000180244446},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.670799970626831},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.525600016117096},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5077999830245972},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4505000114440918},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.3621000051498413}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7825999855995178},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6736000180244446},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.670799970626831},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.525600016117096},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5077999830245972},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4505000114440918},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44850000739097595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43540000915527344},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3959999978542328},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.3621000051498413},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.31679999828338623},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.3140999972820282},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3102000057697296},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.27900001406669617},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.20846","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20846","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,"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":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.20846","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20846","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,"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"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.7686566710472107,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Next":[0],"point-of-interest":[1],"(POI)":[2],"recommendation":[3],"requires":[4],"modeling":[5],"user":[6,86,166],"mobility":[7,45],"as":[8,43],"a":[9,28,32,74,85,107,157],"spatiotemporal":[10,75,98,135],"sequence,":[11],"where":[12],"different":[13,19,121,127],"behavioral":[14,122],"factors":[15],"may":[16],"evolve":[17,125],"at":[18,126,186],"temporal":[20,50],"and":[21,49,60,146,177],"spatial":[22],"scales.":[23],"Most":[24],"existing":[25],"methods":[26],"compress":[27],"user's":[29],"history":[30],"into":[31,168],"single":[33],"latent":[34,91],"representation,":[35],"which":[36],"tends":[37],"to":[38,65,67,110,124,174],"entangle":[39],"heterogeneous":[40],"signals":[41],"such":[42],"routine":[44],"patterns,":[46],"short-term":[47],"intent,":[48],"regularities.":[51],"This":[52,118],"entanglement":[53],"limits":[54],"the":[55,62,112,133],"flexibility":[56],"of":[57],"state":[58,76,114],"evolution":[59],"reduces":[61],"model's":[63],"ability":[64],"adapt":[66],"diverse":[68],"decision":[69,113],"contexts.":[70],"We":[71],"propose":[72],"ADS-POI,":[73],"decomposition":[77],"framework":[78],"for":[79,116],"next":[80,179],"POI":[81,180],"recommendation.":[82,181],"ADS-POI":[83,150],"represents":[84],"with":[87],"multiple":[88,169],"parallel":[89],"evolving":[90],"sub-states,":[92],"each":[93],"governed":[94],"by":[95],"its":[96],"own":[97],"transition":[99],"dynamics.":[100],"These":[101],"sub-states":[102],"are":[103],"selectively":[104],"aggregated":[105],"through":[106],"context-conditioned":[108],"mechanism":[109],"form":[111],"used":[115],"prediction.":[117],"design":[119],"enables":[120],"components":[123],"rates":[128],"while":[129],"remaining":[130],"coordinated":[131],"under":[132,156],"current":[134],"context.":[136],"Extensive":[137],"experiments":[138],"on":[139],"three":[140],"real-world":[141],"benchmark":[142],"datasets":[143],"from":[144],"Foursquare":[145],"Gowalla":[147],"demonstrate":[148],"that":[149,164],"consistently":[151],"outperforms":[152],"strong":[153],"state-of-the-art":[154],"baselines":[155],"full-ranking":[158],"evaluation":[159],"protocol.":[160],"The":[161],"results":[162],"show":[163],"decomposing":[165],"behavior":[167],"spatiotemporally":[170],"aware":[171],"states":[172],"leads":[173],"more":[175],"effective":[176],"robust":[178],"Our":[182],"code":[183],"is":[184],"available":[185],"https://github.com/YuZhenyuLindy/ADS-POI.git.":[187]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-25T00:00:00"}