{"id":"https://openalex.org/W4284679298","doi":"https://doi.org/10.1145/3477495.3532012","title":"Learning Graph-based Disentangled Representations for Next POI Recommendation","display_name":"Learning Graph-based Disentangled Representations for Next POI Recommendation","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4284679298","doi":"https://doi.org/10.1145/3477495.3532012"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3532012","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3532012","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010128719","display_name":"Zhaobo Wang","orcid":"https://orcid.org/0000-0001-8058-3936"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhaobo Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081759167","display_name":"Yanmin Zhu","orcid":"https://orcid.org/0000-0001-6406-4992"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanmin Zhu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041155283","display_name":"Haobing Liu","orcid":"https://orcid.org/0000-0002-2546-3306"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haobing Liu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100378255","display_name":"Chunyang Wang","orcid":"https://orcid.org/0000-0002-1752-5423"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyang Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010128719"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":10.7745,"has_fulltext":false,"cited_by_count":83,"citation_normalized_percentile":{"value":0.9887046,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1154","last_page":"1163"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9939000010490417,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9531999826431274,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/computer-science","display_name":"Computer science","score":0.8248542547225952},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6224290728569031},{"id":"https://openalex.org/keywords/timestamp","display_name":"Timestamp","score":0.5875948667526245},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.549075186252594},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5079742074012756},{"id":"https://openalex.org/keywords/aggregate","display_name":"Aggregate (composite)","score":0.4820764660835266},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4473683536052704},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.44103366136550903},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.4407837688922882},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4329741895198822},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42641934752464294},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4087502956390381},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3524949550628662},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30601057410240173}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8248542547225952},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6224290728569031},{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.5875948667526245},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.549075186252594},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5079742074012756},{"id":"https://openalex.org/C4679612","wikidata":"https://www.wikidata.org/wiki/Q866298","display_name":"Aggregate (composite)","level":2,"score":0.4820764660835266},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4473683536052704},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.44103366136550903},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.4407837688922882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4329741895198822},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42641934752464294},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4087502956390381},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3524949550628662},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30601057410240173},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3477495.3532012","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3532012","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2087692915","https://openalex.org/W2163997062","https://openalex.org/W2171279286","https://openalex.org/W2531384334","https://openalex.org/W2534727297","https://openalex.org/W2539781657","https://openalex.org/W2604411573","https://openalex.org/W2728796024","https://openalex.org/W2739805805","https://openalex.org/W2741686395","https://openalex.org/W2788114581","https://openalex.org/W2808111827","https://openalex.org/W2808425487","https://openalex.org/W2899457523","https://openalex.org/W2913560138","https://openalex.org/W2945827670","https://openalex.org/W2963367478","https://openalex.org/W2997646554","https://openalex.org/W3035308866","https://openalex.org/W3044311607","https://openalex.org/W3045200674","https://openalex.org/W3100278010","https://openalex.org/W3100324210","https://openalex.org/W3101707147","https://openalex.org/W3106439716","https://openalex.org/W4300011764"],"related_works":["https://openalex.org/W2060561905","https://openalex.org/W1417711376","https://openalex.org/W1986883493","https://openalex.org/W2469862403","https://openalex.org/W2166378262","https://openalex.org/W2035891203","https://openalex.org/W4379524643","https://openalex.org/W2011027677","https://openalex.org/W2367807705","https://openalex.org/W4285218279"],"abstract_inverted_index":{"Next":[0],"Point-of-Interest":[1],"(POI)":[2],"recommendation":[3],"plays":[4],"a":[5,91,117,125],"critical":[6],"role":[7],"in":[8,43,205],"many":[9],"location-based":[10],"applications":[11],"as":[12,36],"it":[13],"provides":[14],"personalized":[15,161],"suggestions":[16],"on":[17,55,169,184],"attractive":[18],"destinations":[19],"for":[20,46,98,115,150,164],"users.":[21],"Since":[22],"users'":[23],"next":[24,99,171],"movement":[25],"is":[26],"highly":[27],"related":[28],"to":[29,67,107,128,159,195],"the":[30,57,68,74,77,104,145,156,170,175,189,201],"historical":[31],"visits,":[32],"sequential":[33,58],"methods":[34,52],"such":[35],"recurrent":[37],"neural":[38],"networks":[39],"are":[40],"widely":[41],"used":[42],"this":[44,87],"task":[45],"modeling":[47,56,165],"check-in":[48,61],"behaviors.":[49],"However,":[50],"existing":[51],"mainly":[53],"focus":[54],"regularity":[59],"of":[60,71,76,84,137,144,178,192,203],"sequences":[62],"but":[63],"pay":[64],"little":[65],"attention":[66,157],"intrinsic":[69],"characteristics":[70],"POIs,":[72],"neglecting":[73],"entanglement":[75],"diverse":[78],"influence":[79,114,149],"stemming":[80],"from":[81],"different":[82,110,176],"aspects":[83,111],"POIs.":[85],"In":[86],"paper,":[88],"we":[89,122,154],"propose":[90],"novel":[92],"Disentangled":[93],"Representation-enhanced":[94],"Attention":[95],"Network":[96],"(DRAN)":[97],"POI":[100,118,138],"recommendation,":[101],"which":[102],"leverages":[103],"disentangled":[105,131,179],"representations":[106,132,180],"explicitly":[108],"model":[109,194],"and":[112,147],"corresponding":[113],"representing":[116],"more":[119],"precisely.":[120],"Specifically,":[121],"first":[123],"design":[124],"propagation":[126],"rule":[127],"learn":[129],"graph-based":[130],"by":[133],"refining":[134],"two":[135,185],"types":[136],"relation":[139],"graphs,":[140],"making":[141],"full":[142],"use":[143],"distance-based":[146],"transition-based":[148],"representation":[151,206],"learning.":[152],"Then,":[153],"extend":[155],"architecture":[158],"aggregate":[160],"spatio-temporal":[162],"information":[163],"dynamic":[166],"user":[167],"preferences":[168],"timestamp,":[172],"while":[173],"maintaining":[174],"components":[177],"independent.":[181],"Extensive":[182],"experiments":[183],"real-world":[186],"datasets":[187],"demonstrate":[188],"superior":[190],"performance":[191],"our":[193],"state-of-the-art":[196],"approaches.":[197],"Further":[198],"studies":[199],"confirm":[200],"effectiveness":[202],"DRAN":[204],"disentanglement.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":26},{"year":2024,"cited_by_count":27},{"year":2023,"cited_by_count":21}],"updated_date":"2026-06-02T09:04:35.204637","created_date":"2025-10-10T00:00:00"}