{"id":"https://openalex.org/W4376114316","doi":"https://doi.org/10.1145/3596497","title":"STA-TCN: Spatial-temporal Attention over Temporal Convolutional Network for Next Point-of-interest Recommendation","display_name":"STA-TCN: Spatial-temporal Attention over Temporal Convolutional Network for Next Point-of-interest Recommendation","publication_year":2023,"publication_date":"2023-05-10","ids":{"openalex":"https://openalex.org/W4376114316","doi":"https://doi.org/10.1145/3596497"},"language":"en","primary_location":{"id":"doi:10.1145/3596497","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3596497","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-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/A5038168248","display_name":"Junjie Ou","orcid":"https://orcid.org/0009-0008-2110-4200"},"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":"Junjie Ou","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0009-0008-2110-4200","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101778761","display_name":"Haiming Jin","orcid":"https://orcid.org/0000-0001-5178-7198"},"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":"Haiming Jin","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0001-5178-7198","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101551939","display_name":"Xiaocheng Wang","orcid":"https://orcid.org/0000-0002-0817-7383"},"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":"Xiaocheng Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0002-0817-7383","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100616430","display_name":"Hao Jiang","orcid":"https://orcid.org/0009-0007-4158-5171"},"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":"Hao Jiang","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0009-0007-4158-5171","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034483183","display_name":"Xinbing Wang","orcid":"https://orcid.org/0000-0002-0357-8356"},"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":"Xinbing Wang","raw_affiliation_strings":["Shanghai Jiao Tong University, China"],"raw_orcid":"https://orcid.org/0000-0002-0357-8356","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023919188","display_name":"Chenghu Zhou","orcid":"https://orcid.org/0000-0003-3331-2302"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenghu Zhou","raw_affiliation_strings":["Chinese Academy of Sciences, China"],"raw_orcid":"https://orcid.org/0000-0003-3331-2302","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.5765,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.96682967,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"17","issue":"9","first_page":"1","last_page":"19"},"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":0.9945999979972839,"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/T11478","display_name":"Caching and Content Delivery","score":0.9254999756813049,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8685129880905151},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7217000722885132},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5901459455490112},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48779967427253723},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48768293857574463},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.4818226397037506},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4684617221355438},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4027586579322815},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39141276478767395},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1314733624458313}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8685129880905151},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7217000722885132},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5901459455490112},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48779967427253723},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48768293857574463},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.4818226397037506},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4684617221355438},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4027586579322815},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39141276478767395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1314733624458313},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3596497","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3596497","pdf_url":null,"source":{"id":"https://openalex.org/S41523882","display_name":"ACM Transactions on Knowledge Discovery from Data","issn_l":"1556-4681","issn":["1556-4681","1556-472X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Knowledge Discovery from Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2052626679","https://openalex.org/W2054141820","https://openalex.org/W2069870183","https://openalex.org/W2144685566","https://openalex.org/W2171279286","https://openalex.org/W2272043898","https://openalex.org/W2539781657","https://openalex.org/W2764255392","https://openalex.org/W2767923185","https://openalex.org/W2788114581","https://openalex.org/W2792764867","https://openalex.org/W2798749602","https://openalex.org/W2807264610","https://openalex.org/W2808425487","https://openalex.org/W2885376414","https://openalex.org/W2905432015","https://openalex.org/W2907639449","https://openalex.org/W2914041468","https://openalex.org/W2947144452","https://openalex.org/W2963367478","https://openalex.org/W2983662436","https://openalex.org/W2998167534","https://openalex.org/W3003168733","https://openalex.org/W3012632375","https://openalex.org/W3034912136","https://openalex.org/W3035265557","https://openalex.org/W3035308866","https://openalex.org/W3080292238","https://openalex.org/W3093261329","https://openalex.org/W3103248659","https://openalex.org/W3118187515","https://openalex.org/W3128267727","https://openalex.org/W3164797320","https://openalex.org/W3173650575","https://openalex.org/W3210969871","https://openalex.org/W4206511970","https://openalex.org/W4220953416","https://openalex.org/W4283029523","https://openalex.org/W4385245566","https://openalex.org/W6739901393"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3193565141","https://openalex.org/W3133861977","https://openalex.org/W3167935049","https://openalex.org/W3029198973"],"abstract_inverted_index":{"Recent":[0],"years":[1],"have":[2,124],"witnessed":[3],"a":[4,47,52,138,185],"vastly":[5],"increasing":[6],"popularity":[7],"of":[8,55,109,114,148,213],"location-based":[9],"social":[10],"networks":[11],"(LBSNs),":[12],"which":[13],"facilitates":[14],"studies":[15],"on":[16,107,192,217],"the":[17,29,38,86,98,152,180,199,205],"next":[18,140],"Point-of-Interest":[19],"(POI)":[20],"recommendation":[21,65,142],"problem.":[22],"A":[23],"user\u2019s":[24,186],"POI":[25,64,141],"visiting":[26],"behavior":[27],"shows":[28],"sequential":[30,87,162],"transition":[31,88,163],"correlation":[32,41,121],"with":[33,42,156,175,209],"previous":[34,63,130],"successive":[35],"check-ins":[36,44,115],"and":[37,57,111,171,198,215,220],"global":[39,119],"spatial-temporal":[40,120,182],"those":[43],"that":[45,202],"happened":[46],"long":[48,99],"time":[49,54,108],"ago":[50],"at":[51],"similar":[53],"day":[56,110],"in":[58],"geographically":[59],"close":[60],"areas.":[61],"Although":[62],"methods":[66],"attempted":[67],"to":[68,76,84,160,178],"capture":[69,85],"these":[70,134],"two":[71,168,193],"correlations,":[72],"several":[73],"limitations":[74],"remain":[75],"be":[77],"solved:":[78],"(1)":[79],"RNNs":[80],"are":[81,116,190],"widely":[82],"adopted":[83],"correlation,":[89],"whereas":[90],"training":[91],"an":[92,210],"RNN":[93],"is":[94],"rather":[95],"time-consuming":[96],"given":[97],"input":[100,158],"check-in":[101],"sequence.":[102],"(2)":[103],"The":[104],"pairwise":[105,181],"proximities":[106,183],"geographical":[112],"area":[113],"crucial":[117],"for":[118],"learning,":[122],"but":[123],"not":[125],"been":[126],"comprehensively":[127],"considered":[128],"by":[129],"methods.":[131],"To":[132],"tackle":[133],"issues,":[135],"we":[136],"propose":[137],"novel":[139,169],"framework":[143],"named":[144],"STA-TCN.":[145],"Specifically,":[146],"instead":[147],"RNNs,":[149],"STA-TCN":[150,166,203],"augments":[151],"Temporal":[153],"Convolutional":[154],"Network":[155],"gated":[157],"injection":[159],"learn":[161,179],"correlation.":[164],"Furthermore,":[165],"fuses":[167],"grid-difference":[170],"time-sensitivity":[172],"learning":[173],"mechanisms":[174],"attention":[176],"network":[177],"among":[184],"check-ins.":[187],"Extensive":[188],"experiments":[189],"conducted":[191],"large-scale":[194],"real-world":[195],"LBSN":[196],"datasets,":[197],"results":[200],"show":[201],"outperforms":[204],"best":[206],"state-of-the-art":[207],"baseline":[208],"average":[211],"improvement":[212],"9.71%":[214],"7.88%":[216],"hit":[218],"rate":[219],"normalized":[221],"discounted":[222],"cumulative":[223],"gain,":[224],"respectively.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
