{"id":"https://openalex.org/W4210558159","doi":"https://doi.org/10.1007/s41019-022-00180-w","title":"Spatio-Temporal Representation Learning with Social Tie for Personalized POI Recommendation","display_name":"Spatio-Temporal Representation Learning with Social Tie for Personalized POI Recommendation","publication_year":2022,"publication_date":"2022-01-31","ids":{"openalex":"https://openalex.org/W4210558159","doi":"https://doi.org/10.1007/s41019-022-00180-w"},"language":"en","primary_location":{"id":"doi:10.1007/s41019-022-00180-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-022-00180-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-022-00180-w.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://link.springer.com/content/pdf/10.1007/s41019-022-00180-w.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051541195","display_name":"Shaojie Dai","orcid":"https://orcid.org/0000-0002-0375-1972"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shaojie Dai","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, 266100, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, 266100, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021981732","display_name":"Yanwei Yu","orcid":"https://orcid.org/0000-0002-5924-1410"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwei Yu","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, 266100, Shandong, China"],"raw_orcid":"https://orcid.org/0000-0002-5924-1410","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, 266100, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068491980","display_name":"Hao Fan","orcid":"https://orcid.org/0000-0001-9133-8135"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Fan","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, 266100, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, 266100, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029633264","display_name":"Junyu Dong","orcid":"https://orcid.org/0000-0001-7012-2087"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junyu Dong","raw_affiliation_strings":["Department of Computer Science and Technology, Ocean University of China, Qingdao, 266100, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Ocean University of China, Qingdao, 266100, Shandong, China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051541195"],"corresponding_institution_ids":["https://openalex.org/I59028903"],"apc_list":null,"apc_paid":null,"fwci":17.8659,"has_fulltext":true,"cited_by_count":58,"citation_normalized_percentile":{"value":0.99236974,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"7","issue":"1","first_page":"44","last_page":"56"},"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":0.9984999895095825,"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":0.9825000166893005,"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":0.8815352320671082},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.521891176700592},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5196091532707214},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.483476459980011},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.4813462197780609},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4782496988773346},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4581091105937958},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4508410096168518},{"id":"https://openalex.org/keywords/social-network","display_name":"Social network (sociolinguistics)","score":0.44920268654823303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43963387608528137},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41041356325149536},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36544299125671387},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22924408316612244},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.18820521235466003},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.15008026361465454}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8815352320671082},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.521891176700592},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5196091532707214},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.483476459980011},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4813462197780609},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4782496988773346},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4581091105937958},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4508410096168518},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.44920268654823303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43963387608528137},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41041356325149536},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36544299125671387},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22924408316612244},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.18820521235466003},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.15008026361465454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s41019-022-00180-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-022-00180-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-022-00180-w.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s41019-022-00180-w","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s41019-022-00180-w","pdf_url":"https://link.springer.com/content/pdf/10.1007/s41019-022-00180-w.pdf","source":{"id":"https://openalex.org/S2486411021","display_name":"Data Science and Engineering","issn_l":"2364-1185","issn":["2364-1185","2364-1541"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Data Science and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.47999998927116394}],"awards":[{"id":"https://openalex.org/G212376329","display_name":null,"funder_award_id":"61773331","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2543830840","display_name":null,"funder_award_id":"2018AAA0100602","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G319730221","display_name":null,"funder_award_id":"41927805","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3613340060","display_name":null,"funder_award_id":"62176243","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4032042356","display_name":null,"funder_award_id":"ZR2020QF030","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G8025905427","display_name":null,"funder_award_id":"U1706218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation 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/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4210558159.pdf","grobid_xml":"https://content.openalex.org/works/W4210558159.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W52091974","https://openalex.org/W1888005072","https://openalex.org/W2044672016","https://openalex.org/W2054560962","https://openalex.org/W2059512573","https://openalex.org/W2073013176","https://openalex.org/W2074194940","https://openalex.org/W2110953678","https://openalex.org/W2154851992","https://openalex.org/W2408569144","https://openalex.org/W2534727297","https://openalex.org/W2539781657","https://openalex.org/W2604411573","https://openalex.org/W2612465529","https://openalex.org/W2739805805","https://openalex.org/W2801404331","https://openalex.org/W2807855639","https://openalex.org/W2883204477","https://openalex.org/W2893346805","https://openalex.org/W2964057288","https://openalex.org/W2983662436","https://openalex.org/W3012782947","https://openalex.org/W3034646226","https://openalex.org/W3034992133","https://openalex.org/W3035308866","https://openalex.org/W3040157551","https://openalex.org/W3048334589","https://openalex.org/W3093707081","https://openalex.org/W3094324529","https://openalex.org/W3094487086","https://openalex.org/W3098791569","https://openalex.org/W3102247173","https://openalex.org/W3104097132","https://openalex.org/W3140535812","https://openalex.org/W3152893301","https://openalex.org/W6600213211"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W4225394202","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W2912355043","https://openalex.org/W2036323314"],"abstract_inverted_index":{"Abstract":[0],"Recommending":[1],"a":[2,8,32,105,156],"limited":[3,86],"number":[4],"of":[5,221],"Point-of-Interests":[6],"(POIs)":[7],"user":[9,47,89,139,162,197],"will":[10],"visit":[11],"next":[12],"has":[13,72],"become":[14],"increasingly":[15],"important":[16],"to":[17,61,93,122,185],"both":[18],"users":[19,128],"and":[20,39,67,119,132,140,152,159,195,225],"POI":[21,29,58,81,141,179,217],"holders":[22],"for":[23,76,126,176,215],"Location-Based":[24],"Social":[25],"Networks":[26],"(LBSNs).":[27],"However,":[28],"recommendation":[30,82,188,218],"is":[31,230],"challenging":[33],"task":[34],"since":[35],"complex":[36],"sequential":[37,77,133,148,164,199],"patterns":[38,165],"rich":[40],"contexts":[41],"are":[42,84],"contained":[43],"in":[44,87,155,219],"extremely":[45],"sparse":[46],"check-in":[48,117],"data.":[49],"Recent":[50],"studies":[51],"show":[52],"that":[53,208],"embedding":[54,95,131],"techniques":[55],"effectively":[56],"incorporate":[57],"contextual":[59],"information":[60],"alleviate":[62],"the":[63,167,177],"data":[64],"sparsity":[65],"issue,":[66],"Recurrent":[68],"Neural":[69],"Network":[70],"(RNN)":[71],"been":[73],"successfully":[74],"employed":[75],"prediction.":[78],"Nevertheless,":[79],"existing":[80],"approaches":[83],"still":[85],"capturing":[88],"personalized":[90,124,163,178,198],"preference":[91],"due":[92],"separate":[94],"learning":[96,192],"or":[97],"network":[98,110,171],"modeling.":[99,134],"To":[100],"this":[101],"end,":[102],"we":[103,182],"propose":[104],"novel":[106],"unified":[107],"spatio-temporal":[108,169],"neural":[109,170],"framework,":[111],"named":[112],"PPR,":[113],"which":[114],"leverages":[115],"users\u2019":[116],"records":[118],"social":[120,153],"ties":[121,154],"recommend":[123],"POIs":[125],"querying":[127],"by":[129,143,190],"joint":[130,144],"Specifically,":[135],"PPR":[136,184],"first":[137],"learns":[138],"representations":[142,194],"modeling":[145,196],"User-POI":[146],"relation,":[147],"patterns,":[149],"geographical":[150],"influence,":[151],"heterogeneous":[157],"graph":[158],"then":[160],"models":[161],"using":[166],"designed":[168],"based":[172],"on":[173,203],"LSTM":[174],"model":[175,189,210],"recommendation.":[180],"Furthermore,":[181],"extend":[183],"an":[186],"end-to-end":[187],"jointly":[191],"node":[193],"preference.":[200],"Extensive":[201],"experiments":[202],"three":[204],"real-world":[205],"datasets":[206],"demonstrate":[207],"our":[209],"significantly":[211],"outperforms":[212],"state-of-the-art":[213],"baselines":[214],"successive":[216],"terms":[220],"Accuracy,":[222],"Precision,":[223],"Recall":[224],"NDCG.":[226],"The":[227],"source":[228],"code":[229],"available":[231],"at:":[232],"https://www.anonymous.4open.science/r/DSE-1BEC":[233],".":[234]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":9}],"updated_date":"2026-04-27T08:22:11.395708","created_date":"2025-10-10T00:00:00"}
