{"id":"https://openalex.org/W4321480031","doi":"https://doi.org/10.1145/3539597.3570408","title":"DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation","display_name":"DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4321480031","doi":"https://doi.org/10.1145/3539597.3570408"},"language":"en","primary_location":{"id":"doi:10.1145/3539597.3570408","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539597.3570408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","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/A5058440014","display_name":"Yifang Qin","orcid":"https://orcid.org/0000-0002-7520-8039"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yifang Qin","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026207516","display_name":"Yifan Wang","orcid":"https://orcid.org/0000-0001-7764-8698"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Wang","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102770634","display_name":"Fang Sun","orcid":"https://orcid.org/0000-0001-5693-0379"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Sun","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018666299","display_name":"Wei Ju","orcid":"https://orcid.org/0000-0001-9657-951X"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Ju","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054393304","display_name":"Xuyang Hou","orcid":"https://orcid.org/0000-0003-0387-3547"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuyang Hou","raw_affiliation_strings":["Meituan, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001564566","display_name":"Zhe Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Wang","raw_affiliation_strings":["Meituan, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003039093","display_name":"Jia Cheng","orcid":"https://orcid.org/0000-0003-1702-4263"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jia Cheng","raw_affiliation_strings":["Meituan, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084801659","display_name":"Jun Lei","orcid":"https://orcid.org/0000-0002-4015-8668"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Lei","raw_affiliation_strings":["Meituan, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100642537","display_name":"Ming Zhang","orcid":"https://orcid.org/0000-0002-9809-3430"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Zhang","raw_affiliation_strings":["Peking University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5058440014"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":34.7683,"has_fulltext":false,"cited_by_count":77,"citation_normalized_percentile":{"value":0.99788641,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"508","last_page":"516"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.97079998254776,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9628000259399414,"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/interpretability","display_name":"Interpretability","score":0.8992024660110474},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8166205883026123},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.7077900171279907},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.580400824546814},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5532844066619873},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.544792890548706},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.5441253781318665},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4468284845352173},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43825241923332214},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43474438786506653},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33743011951446533},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3303971290588379},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2715126872062683}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8992024660110474},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8166205883026123},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.7077900171279907},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.580400824546814},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5532844066619873},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.544792890548706},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.5441253781318665},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4468284845352173},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43825241923332214},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43474438786506653},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33743011951446533},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3303971290588379},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2715126872062683},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","level":1,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539597.3570408","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539597.3570408","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7099999785423279,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G2997987028","display_name":null,"funder_award_id":"62276002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7324266398","display_name":null,"funder_award_id":"2018AAA0101902","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W2071702404","https://openalex.org/W2085040216","https://openalex.org/W2086142729","https://openalex.org/W2146232090","https://openalex.org/W2163997062","https://openalex.org/W2171279286","https://openalex.org/W2187089797","https://openalex.org/W2394103513","https://openalex.org/W2539781657","https://openalex.org/W2723293840","https://openalex.org/W2743289629","https://openalex.org/W2788114581","https://openalex.org/W2808111827","https://openalex.org/W2899457523","https://openalex.org/W2905432015","https://openalex.org/W2945827670","https://openalex.org/W2962745591","https://openalex.org/W2998167534","https://openalex.org/W3044311607","https://openalex.org/W3045200674","https://openalex.org/W3081189998","https://openalex.org/W3093563174","https://openalex.org/W3100278010","https://openalex.org/W3100324210","https://openalex.org/W3101707147","https://openalex.org/W3118697270","https://openalex.org/W3129482887","https://openalex.org/W3155919942","https://openalex.org/W3208876695","https://openalex.org/W4225338086","https://openalex.org/W4284698122","https://openalex.org/W4289533979","https://openalex.org/W4300011764","https://openalex.org/W6601029531"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W2888392564","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W4390569940","https://openalex.org/W4361193272","https://openalex.org/W2963326959","https://openalex.org/W4388685194","https://openalex.org/W4312407344","https://openalex.org/W2912355043"],"abstract_inverted_index":{"Point-of-Interest":[0],"(POI)":[1],"recommendation":[2,17,52],"plays":[3],"a":[4,68,123,127,136,171],"vital":[5],"role":[6],"in":[7],"various":[8],"location-aware":[9],"services.":[10],"It":[11],"has":[12],"been":[13],"observed":[14],"that":[15],"POI":[16,74],"is":[18,29,104],"driven":[19],"by":[20,65],"both":[21,110],"sequential":[22,79,111,128],"and":[23,54,80,87,112,126],"geographical":[24,81,113,124],"influences.":[25,151],"However,":[26],"since":[27],"there":[28],"no":[30],"annotated":[31],"label":[32],"of":[33,97,109,135,182],"the":[34,62,89,132,149,163,168,180,183],"dominant":[35],"influence":[36],"during":[37],"recommendation,":[38,75],"existing":[39,102],"methods":[40],"tend":[41],"to":[42,50,105,143,146],"entangle":[43],"these":[44],"two":[45,84,90,164],"influences,":[46,165],"which":[47,76,166],"may":[48],"lead":[49],"sub-optimal":[51],"performance":[53],"poor":[55],"interpretability.":[56],"In":[57],"this":[58],"paper,":[59],"we":[60,121],"address":[61],"above":[63],"challenge":[64],"proposing":[66],"DisenPOI,":[67],"novel":[69],"Disentangled":[70],"dual-graph":[71],"framework":[72],"for":[73,162],"jointly":[77],"utilizes":[78],"relationships":[82],"on":[83,131,176],"separate":[85],"graphs":[86],"disentangles":[88],"influences":[91,114],"with":[92,101,115],"self-supervision.":[93],"The":[94],"key":[95],"novelty":[96],"our":[98],"model":[99],"compared":[100],"approaches":[103],"extract":[106],"disentangled":[107],"representations":[108],"contrastive":[116,172],"learning.":[117],"To":[118],"be":[119],"specific,":[120],"construct":[122],"graph":[125,129],"based":[130],"check-in":[133,157],"sequence":[134,158],"user.":[137],"We":[138],"tailor":[139],"their":[140],"propagation":[141],"schemes":[142],"become":[144],"sequence-/geo-aware":[145],"better":[147],"capture":[148],"corresponding":[150],"Preference":[152],"proxies":[153],"are":[154],"extracted":[155],"from":[156],"as":[159],"pseudo":[160],"labels":[161],"supervise":[167],"disentanglement":[169],"via":[170],"loss.":[173],"Extensive":[174],"experiments":[175],"three":[177],"datasets":[178],"demonstrate":[179],"superiority":[181],"proposed":[184],"model.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":27},{"year":2024,"cited_by_count":32},{"year":2023,"cited_by_count":10}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}