{"id":"https://openalex.org/W2982600635","doi":"https://doi.org/10.1109/access.2019.2950061","title":"SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation","display_name":"SSSER: Spatiotemporal Sequential and Social Embedding Rank for Successive Point-of-Interest Recommendation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2982600635","doi":"https://doi.org/10.1109/access.2019.2950061","mag":"2982600635"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2950061","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2950061","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08886571.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08886571.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003836412","display_name":"Yangyang Xu","orcid":"https://orcid.org/0000-0002-3383-4349"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]},{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangyang Xu","raw_affiliation_strings":["2012 Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China","School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"2012 Laboratory, Huawei Technologies Company, Ltd., Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]},{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100352630","display_name":"Xuefei Li","orcid":"https://orcid.org/0000-0001-8572-3272"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefei Li","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337001","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-8181-0886"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["School of Computer Science, Wuhan University, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072362529","display_name":"Chunzhi Wang","orcid":"https://orcid.org/0000-0002-6742-3644"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunzhi Wang","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052869008","display_name":"Rong Gao","orcid":"https://orcid.org/0000-0001-7935-7173"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rong Gao","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100696873","display_name":"Yonghong Yu","orcid":"https://orcid.org/0000-0003-2587-8090"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghong Yu","raw_affiliation_strings":["College of Tongda, Nanjing University of Posts and Telecommunications, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Tongda, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5003836412"],"corresponding_institution_ids":["https://openalex.org/I2250955327","https://openalex.org/I37461747"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.758,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.8902326,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"156804","last_page":"156823"},"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":0.9983999729156494,"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/T11942","display_name":"Transportation and Mobility Innovations","score":0.9438999891281128,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8291463255882263},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.6880702376365662},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.565910279750824},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.50751131772995},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.48483502864837646},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.463866651058197},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.4545031487941742},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.4517296552658081},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4425515830516815},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4395102858543396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41859525442123413},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.4183552861213684},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4166608154773712},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.397169828414917},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.3543359935283661}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8291463255882263},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.6880702376365662},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.565910279750824},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.50751131772995},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.48483502864837646},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.463866651058197},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.4545031487941742},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.4517296552658081},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4425515830516815},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4395102858543396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41859525442123413},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.4183552861213684},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4166608154773712},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.397169828414917},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.3543359935283661},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2950061","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2950061","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08886571.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:2a81e74509c849778f8807b21727f0e7","is_oa":true,"landing_page_url":"https://doaj.org/article/2a81e74509c849778f8807b21727f0e7","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 156804-156823 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2950061","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2950061","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08886571.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"id":"https://metadata.un.org/sdg/1","display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G1087430107","display_name":null,"funder_award_id":"61772180","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4587991596","display_name":null,"funder_award_id":"2019026","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5015497335","display_name":null,"funder_award_id":"6177218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5309838661","display_name":null,"funder_award_id":"BSQD2019026","funder_id":"https://openalex.org/F4320321604","funder_display_name":"Hubei University of Technology"},{"id":"https://openalex.org/G5607962508","display_name":null,"funder_award_id":"XK203XZ18002","funder_id":"https://openalex.org/F4320323268","funder_display_name":"Nanjing University of Posts and Telecommunications"},{"id":"https://openalex.org/G5697845368","display_name":null,"funder_award_id":"61772180","funder_id":"https://openalex.org/F4320321604","funder_display_name":"Hubei University of Technology"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7570365276","display_name":null,"funder_award_id":"52002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8450235898","display_name":null,"funder_award_id":"NUPTSF","funder_id":"https://openalex.org/F4320323268","funder_display_name":"Nanjing University of Posts and Telecommunications"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321604","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342"},{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320323268","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34"},{"id":"https://openalex.org/F4320324852","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760"},{"id":"https://openalex.org/F4320327794","display_name":"Qinglan Project of Jiangsu Province of China","ror":null},{"id":"https://openalex.org/F4320329781","display_name":"Hubei University","ror":"https://ror.org/03a60m280"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2982600635.pdf","grobid_xml":"https://content.openalex.org/works/W2982600635.grobid-xml"},"referenced_works_count":70,"referenced_works":["https://openalex.org/W1546409232","https://openalex.org/W1971518768","https://openalex.org/W1986050033","https://openalex.org/W2016053056","https://openalex.org/W2035349694","https://openalex.org/W2041073712","https://openalex.org/W2055852858","https://openalex.org/W2059512502","https://openalex.org/W2059512573","https://openalex.org/W2068160960","https://openalex.org/W2074020083","https://openalex.org/W2084677224","https://openalex.org/W2087692915","https://openalex.org/W2094286023","https://openalex.org/W2097268493","https://openalex.org/W2097502977","https://openalex.org/W2102765684","https://openalex.org/W2110953678","https://openalex.org/W2112631146","https://openalex.org/W2116817084","https://openalex.org/W2128070164","https://openalex.org/W2140310134","https://openalex.org/W2146232090","https://openalex.org/W2148214025","https://openalex.org/W2163605009","https://openalex.org/W2171279286","https://openalex.org/W2205235818","https://openalex.org/W2240204456","https://openalex.org/W2362771282","https://openalex.org/W2438985978","https://openalex.org/W2470553320","https://openalex.org/W2471486255","https://openalex.org/W2474765392","https://openalex.org/W2517540742","https://openalex.org/W2531384334","https://openalex.org/W2534727297","https://openalex.org/W2539781657","https://openalex.org/W2567312369","https://openalex.org/W2575006718","https://openalex.org/W2578123898","https://openalex.org/W2583674722","https://openalex.org/W2604433096","https://openalex.org/W2605350416","https://openalex.org/W2625746539","https://openalex.org/W2728796024","https://openalex.org/W2740570963","https://openalex.org/W2742272831","https://openalex.org/W2743289629","https://openalex.org/W2750303327","https://openalex.org/W2763040505","https://openalex.org/W2766658708","https://openalex.org/W2791723757","https://openalex.org/W2798908418","https://openalex.org/W2807855639","https://openalex.org/W2896118970","https://openalex.org/W2905305843","https://openalex.org/W2914231700","https://openalex.org/W2962825837","https://openalex.org/W2963207245","https://openalex.org/W2964296635","https://openalex.org/W3098231197","https://openalex.org/W4288083766","https://openalex.org/W6632885370","https://openalex.org/W6680830989","https://openalex.org/W6684191040","https://openalex.org/W6688089849","https://openalex.org/W6720787274","https://openalex.org/W6728864075","https://openalex.org/W6731415707","https://openalex.org/W6744853824"],"related_works":["https://openalex.org/W3127142483","https://openalex.org/W3160516639","https://openalex.org/W4385565564","https://openalex.org/W2898073868","https://openalex.org/W2138488530","https://openalex.org/W3048565508","https://openalex.org/W2798835721","https://openalex.org/W2971071571","https://openalex.org/W2387658907","https://openalex.org/W2922169395"],"abstract_inverted_index":{"Point-of-Interest":[0],"(POI)":[1],"recommendation":[2,118,134,147,259,266],"is":[3,232],"one":[4],"of":[5,9,31,57,103,114,191,245],"the":[6,28,42,47,53,58,63,68,72,80,91,98,115,123,132,137,169,178,182,189,196,211,215,224,229,236,241,251,262],"important":[7,18],"services":[8],"location-based":[10],"social":[11,124,197,220],"networks":[12],"(LBSNs),":[13],"which":[14],"has":[15],"become":[16],"an":[17],"way":[19],"to":[20,89,121,127,130,176,194,207,234,239],"help":[21],"users":[22,88,129],"discover":[23],"interesting":[24],"places":[25],"and":[26,100,152,172,219],"increase":[27],"potential":[29],"income":[30],"related":[32,126],"companies.":[33],"Although":[34],"human":[35],"movement":[36],"presents":[37],"a":[38,142,162,204],"sequential":[39,93,217],"pattern":[40,180],"in":[41,71,106],"LBSN.":[43],"There":[44],"still":[45],"are":[46],"following":[48],"problems:":[49],"(1)":[50],"when":[51],"modeling":[52,128],"sequence":[54,179],"data,":[55],"most":[56,113],"existing":[59,116],"works":[60,78],"assume":[61],"that":[62,255],"check-in":[64,92,110,216],"time":[65],"depends":[66],"on":[67,168,250],"location":[69,73],"transformation":[70],"sequence.":[74],"In":[75],"particular,":[76],"these":[77],"emphasize":[79],"equivalent":[81],"transition":[82],"probabilities":[83],"between":[84],"locations":[85],"for":[86,223],"all":[87],"capture":[90],"pattern,":[94],"whereas":[95],"they":[96],"ignore":[97],"spatial":[99],"temporal":[101],"information":[102,125,221],"personalized":[104,144],"context":[105],"some":[107],"actual":[108],"personal":[109,213],"scenarios;":[111],"(2)":[112],"POI":[117,146,226,258,265],"algorithms":[119],"fail":[120],"utilize":[122],"improve":[131],"final":[133],"performance.To":[135],"tackle":[136],"above":[138],"challenges,":[139],"we":[140,160,187,202],"propose":[141,203],"new":[143],"successive":[145,225],"model":[148,166,175,195],"called":[149],"Spatiotemporal":[150],"Sequential":[151],"Social":[153],"Embedding":[154],"Rank":[155],"model,":[156],"named":[157],"SSSER.":[158],"First,":[159],"use":[161,188],"hybrid":[163],"deep":[164],"learning":[165,193],"based":[167],"convolution":[170],"filter":[171],"multilayer":[173],"perceptron":[174],"mine":[177],"among":[181,199],"users'":[183,212],"checked-in":[184],"locations.":[185],"Then,":[186],"method":[190],"metric":[192],"relationship":[198],"users.":[200],"Finally,":[201],"unified":[205],"framework":[206],"recommend":[208],"POIs":[209],"combining":[210],"interests,":[214],"influence":[218],"simultaneously":[222],"recommendation.":[227],"And":[228],"BPR":[230],"standard":[231],"used":[233],"optimize":[235],"loss":[237],"function":[238],"fit":[240],"user's":[242],"partial":[243],"order":[244],"POIs.":[246],"The":[247],"experimental":[248],"results":[249],"real":[252],"datasets":[253],"show":[254],"our":[256],"proposed":[257],"algorithm":[260],"outperforms":[261],"other":[263],"state-of-the-art":[264],"algorithms.":[267]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
