{"id":"https://openalex.org/W4284668299","doi":"https://doi.org/10.1145/3477495.3531983","title":"GETNext","display_name":"GETNext","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4284668299","doi":"https://doi.org/10.1145/3477495.3531983"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3531983","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531983","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":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2303.04741","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054758490","display_name":"Song Yang","orcid":"https://orcid.org/0000-0002-1200-1129"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Song Yang","raw_affiliation_strings":["The Unviersity of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Unviersity of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083914998","display_name":"Jiamou Liu","orcid":"https://orcid.org/0000-0002-0824-0899"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Jiamou Liu","raw_affiliation_strings":["The Unviersity of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Unviersity of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090118317","display_name":"Kaiqi Zhao","orcid":"https://orcid.org/0000-0002-0984-1629"},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Kaiqi Zhao","raw_affiliation_strings":["The Unviersity of Auckland, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Unviersity of Auckland, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154130895"],"apc_list":null,"apc_paid":null,"fwci":48.7703,"has_fulltext":true,"cited_by_count":250,"citation_normalized_percentile":{"value":0.99924851,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1144","last_page":"1153"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9991000294685364,"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":0.9830999970436096,"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":0.8289620876312256},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7288839817047119},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.5376371741294861},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4895687997341156},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.4707242548465729},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4302067458629608},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4280877113342285},{"id":"https://openalex.org/keywords/service-provider","display_name":"Service provider","score":0.41480717062950134},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.4139828383922577},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38739925622940063},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3767353296279907},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3516547679901123},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.26352792978286743},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22540712356567383},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.08591651916503906}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8289620876312256},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7288839817047119},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.5376371741294861},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4895687997341156},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.4707242548465729},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4302067458629608},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4280877113342285},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.41480717062950134},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.4139828383922577},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38739925622940063},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3767353296279907},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3516547679901123},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.26352792978286743},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22540712356567383},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.08591651916503906},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3477495.3531983","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531983","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"},{"id":"pmh:oai:arXiv.org:2303.04741","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.04741","pdf_url":"https://arxiv.org/pdf/2303.04741","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2303.04741","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2303.04741","pdf_url":"https://arxiv.org/pdf/2303.04741","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G2731548278","display_name":null,"funder_award_id":"MFP-UOA2123","funder_id":"https://openalex.org/F4320335369","funder_display_name":"Marsden Fund"}],"funders":[{"id":"https://openalex.org/F4320320774","display_name":"Royal Society Te Ap\u0101rangi","ror":"https://ror.org/04tajb587"},{"id":"https://openalex.org/F4320335369","display_name":"Marsden Fund","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4284668299.pdf","grobid_xml":"https://content.openalex.org/works/W4284668299.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1546409232","https://openalex.org/W1888005072","https://openalex.org/W2038228855","https://openalex.org/W2054141820","https://openalex.org/W2071702404","https://openalex.org/W2073013176","https://openalex.org/W2074194940","https://openalex.org/W2086142729","https://openalex.org/W2171279286","https://openalex.org/W2205235818","https://openalex.org/W2362771282","https://openalex.org/W2408569144","https://openalex.org/W2534727297","https://openalex.org/W2539781657","https://openalex.org/W2567312369","https://openalex.org/W2788114581","https://openalex.org/W2905432015","https://openalex.org/W2964015378","https://openalex.org/W2988588486","https://openalex.org/W2998167534","https://openalex.org/W3034646226","https://openalex.org/W3034992133","https://openalex.org/W3035308866","https://openalex.org/W3093741743","https://openalex.org/W3094502228","https://openalex.org/W3128267727","https://openalex.org/W3164797320","https://openalex.org/W3171884590","https://openalex.org/W3188497560","https://openalex.org/W3210279979","https://openalex.org/W4288283362","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W2912355043"],"abstract_inverted_index":{"Next":[0],"POI":[1,57,101],"recommendation":[2,58,166],"intends":[3],"to":[4,37,89,132],"forecast":[5],"users'":[6],"immediate":[7],"future":[8,138],"movements":[9],"given":[10],"their":[11],"current":[12],"status":[13],"and":[14,23,81,103,123,153],"historical":[15],"information,":[16],"yielding":[17],"great":[18],"values":[19],"for":[20,96],"both":[21],"users":[22],"service":[24],"providers.":[25],"However,":[26],"this":[27,141],"problem":[28,63,108],"is":[29],"perceptibly":[30],"complex":[31],"because":[32],"various":[33],"data":[34],"trends":[35],"need":[36],"be":[38],"considered":[39],"together.":[40],"This":[41],"includes":[42],"the":[43,55,66,92,105,110,114,134,146,158,163],"spatial":[44],"locations,":[45],"temporal":[46],"contexts,":[47],"user's":[48,118,137],"preferences,":[49],"etc.":[50],"Most":[51],"existing":[52],"studies":[53],"view":[54],"next":[56,100],"as":[59],"a":[60,75,82,97,129,150],"sequence":[61],"prediction":[62,135],"while":[64],"omitting":[65],"collaborative":[67,94],"signals":[68,95],"from":[69],"other":[70],"users.":[71],"Instead,":[72],"we":[73],"propose":[74],"user-agnostic":[76],"global":[77,115],"trajectory":[78],"flow":[79],"map":[80],"novel":[83],"Graph":[84],"Enhanced":[85],"Transformer":[86],"model":[87,131,144],"(GETNext)":[88],"better":[90],"exploit":[91],"extensive":[93],"more":[98],"accurate":[99],"prediction,":[102],"alleviate":[104],"cold":[106,159],"start":[107,160],"in":[109],"meantime.":[111],"GETNext":[112],"incorporates":[113],"transition":[116],"patterns,":[117],"general":[119],"preference,":[120],"spatio-temporal":[121,164],"context,":[122],"time-aware":[124],"category":[125],"embeddings":[126],"together":[127],"into":[128],"transformer":[130],"make":[133],"of":[136],"moves.":[139],"With":[140],"design,":[142],"our":[143],"outperforms":[145],"state-of-the-art":[147],"methods":[148],"with":[149],"large":[151],"margin":[152],"also":[154],"sheds":[155],"light":[156],"on":[157],"challenges":[161],"within":[162],"involved":[165],"problems.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":57},{"year":2025,"cited_by_count":91},{"year":2024,"cited_by_count":70},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":3}],"updated_date":"2026-08-29T07:29:34.045763","created_date":"2022-07-08T00:00:00"}