{"id":"https://openalex.org/W2963032120","doi":"https://doi.org/10.1109/access.2019.2930311","title":"Deep Potential Geo-Social Relationship Mining for Point-of-Interest Recommendation","display_name":"Deep Potential Geo-Social Relationship Mining for Point-of-Interest Recommendation","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2963032120","doi":"https://doi.org/10.1109/access.2019.2930311","mag":"2963032120"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2930311","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2930311","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08768295.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/ielx7/6287639/8600701/08768295.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5009547344","display_name":"Zhenggao Pan","orcid":"https://orcid.org/0000-0001-8216-3708"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhenggao Pan","raw_affiliation_strings":["School of Informatics and Engineering, Suzhou University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics and Engineering, Suzhou University, Suzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101722152","display_name":"Lin Cui","orcid":"https://orcid.org/0000-0002-1001-7821"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin Cui","raw_affiliation_strings":["School of Informatics and Engineering, Suzhou University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-1001-7821","affiliations":[{"raw_affiliation_string":"School of Informatics and Engineering, Suzhou University, Suzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101926955","display_name":"Xiaoyin Wu","orcid":"https://orcid.org/0000-0003-2255-0479"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoyin Wu","raw_affiliation_strings":["School of Informatics and Engineering, Suzhou University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics and Engineering, Suzhou University, Suzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100347601","display_name":"Zhiwei Zhang","orcid":"https://orcid.org/0000-0002-4766-6198"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiwei Zhang","raw_affiliation_strings":["School of Informatics and Engineering, Suzhou University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-4766-6198","affiliations":[{"raw_affiliation_string":"School of Informatics and Engineering, Suzhou University, Suzhou, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100643943","display_name":"Xianwei Li","orcid":"https://orcid.org/0000-0002-6295-6089"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xianwei Li","raw_affiliation_strings":["School of Informatics and Engineering, Suzhou University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6295-6089","affiliations":[{"raw_affiliation_string":"School of Informatics and Engineering, Suzhou University, Suzhou, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100778691","display_name":"Guolong Chen","orcid":"https://orcid.org/0000-0002-8489-9652"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guolong Chen","raw_affiliation_strings":["School of Informatics and Engineering, Suzhou University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics and Engineering, Suzhou University, Suzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":4.6092,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.95345823,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"99496","last_page":"99507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9944999814033508,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9936000108718872,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6678757667541504},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.5833665132522583},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5521303415298462},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39034920930862427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27689939737319946}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6678757667541504},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.5833665132522583},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5521303415298462},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39034920930862427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27689939737319946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2930311","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2930311","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08768295.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:8e6138abdd074f7e866b7dcb4c5a9362","is_oa":true,"landing_page_url":"https://doaj.org/article/8e6138abdd074f7e866b7dcb4c5a9362","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 99496-99507 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2930311","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2930311","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08768295.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":[],"awards":[{"id":"https://openalex.org/G2055988429","display_name":null,"funder_award_id":"2019xjzdxk1","funder_id":"https://openalex.org/F4320330925","funder_display_name":"Suzhou University"},{"id":"https://openalex.org/G2750699301","display_name":null,"funder_award_id":"KJ2018A0448","funder_id":"https://openalex.org/F4320326664","funder_display_name":"Anhui Provincial Department of Education"},{"id":"https://openalex.org/G5843678168","display_name":null,"funder_award_id":"61702355","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6979926980","display_name":null,"funder_award_id":"1908085QF283","funder_id":"https://openalex.org/F4320334897","funder_display_name":"Natural Science Foundation of Anhui Province"},{"id":"https://openalex.org/G8874730483","display_name":null,"funder_award_id":"kj2019a0668","funder_id":"https://openalex.org/F4320326664","funder_display_name":"Anhui Provincial Department of Education"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326664","display_name":"Anhui Provincial Department of Education","ror":null},{"id":"https://openalex.org/F4320330925","display_name":"Suzhou University","ror":null},{"id":"https://openalex.org/F4320334897","display_name":"Natural Science Foundation of Anhui Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2963032120.pdf","grobid_xml":"https://content.openalex.org/works/W2963032120.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1986050033","https://openalex.org/W1995109099","https://openalex.org/W2004585457","https://openalex.org/W2009799282","https://openalex.org/W2024082504","https://openalex.org/W2035237009","https://openalex.org/W2038228855","https://openalex.org/W2045882407","https://openalex.org/W2059512573","https://openalex.org/W2070915285","https://openalex.org/W2072609015","https://openalex.org/W2080567541","https://openalex.org/W2087692915","https://openalex.org/W2115528490","https://openalex.org/W2146232090","https://openalex.org/W2362771282","https://openalex.org/W2408538552","https://openalex.org/W2488426624","https://openalex.org/W2519368133","https://openalex.org/W2551968180","https://openalex.org/W2572507559","https://openalex.org/W2573426660","https://openalex.org/W2586563160","https://openalex.org/W2614850284","https://openalex.org/W2616838269","https://openalex.org/W2747810234","https://openalex.org/W2763015105","https://openalex.org/W2766901904","https://openalex.org/W2782298158","https://openalex.org/W2786997513","https://openalex.org/W2789305192","https://openalex.org/W2801404331","https://openalex.org/W2810820754","https://openalex.org/W2885376414","https://openalex.org/W2889535606","https://openalex.org/W2907827821","https://openalex.org/W2913696151","https://openalex.org/W6713960209","https://openalex.org/W6729836131","https://openalex.org/W6731604148"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2890423584","https://openalex.org/W3013764321"],"abstract_inverted_index":{"Point-of-Interest":[0],"(POI)":[1],"recommendation":[2,29,127,221],"has":[3,20,236],"been":[4],"an":[5,73,171],"important":[6],"research":[7],"topic":[8],"in":[9,103,170],"data":[10],"mining":[11,79],"and":[12,101,111,118,148,162,184,190,204],"the":[13,65,89,95,134,140,149,163,175,186,196,199],"popularity":[14],"of":[15,91,97,159,201],"location-based":[16],"social":[17,35],"networks":[18],"(LBSNs)":[19],"significantly":[21],"contributed":[22],"to":[23,64,71,173,195,217],"POI":[24,28,82],"recommendation.":[25],"The":[26,40,85,157,177,227],"existing":[27],"models":[30],"mostly":[31],"adopt":[32],"various":[33],"explicit":[34],"relationships":[36,42,138,144,155],"under":[37,45,129],"geographical":[38,48,92],"space.":[39],"implicit":[41,150],"among":[43],"users":[44,146],"a":[46,125,130,219],"certain":[47],"region":[49],"are":[50,122,168],"rarely":[51],"taken":[52],"into":[53,124],"account,":[54],"though":[55],"they":[56],"have":[57],"major":[58],"influence":[59,121],"on":[60,232],"user":[61,98,116,142],"behaviors.":[62],"Due":[63,194],"above":[66],"limitations,":[67],"we":[68,212],"were":[69],"motivated":[70],"introduce":[72],"innovative":[74],"Deep":[75],"Potential":[76],"Geo-Social":[77],"Relationship":[78],"model":[80,222],"for":[81],"Recommendation":[83],"(DPGSR-PR).":[84],"proposed":[86,228],"DPGSR-PR":[87,229,239],"performs":[88],"personalization":[90],"features,":[93],"towards":[94],"determination":[96],"check-in":[99,152],"behaviors":[100],"choices":[102],"specific":[104],"domains,":[105],"which":[106,235],"is":[107,179,209],"achieved":[108],"by":[109,181],"estimating":[110],"considering":[112,185],"kernel":[113,191],"density.":[114],"Moreover,":[115],"preferences":[117],"personalized":[119],"geo-social":[120,126,137,143,154],"incorporated":[123],"framework":[128],"holistic":[131],"view.":[132],"Specifically,":[133],"deep":[135],"potential":[136],"include":[139],"explicit-implicit":[141],"between":[145],"(EIU-GSR)":[147],"common":[151],"POI-based":[153],"(ICP-GSR).":[156],"estimation":[158],"Kernel":[160],"density":[161,192],"two-hop":[164],"random":[165],"walk":[166],"approach":[167],"employed":[169],"effort":[172],"mine":[174],"EIU-GSR.":[176],"ICP-GSR":[178,205],"discovered":[180],"specifically":[182],"determining":[183],"Jaccard":[187],"similarity":[188],"coefficient":[189],"estimation.":[193],"fact":[197],"that":[198,223,238],"role":[200],"both":[202],"EIU-GSR":[203],"as":[206],"regularization":[207],"terms":[208],"quite":[210],"significant,":[211],"used":[213],"their":[214],"combined":[215],"impact":[216],"obtain":[218],"unique":[220],"employs":[224],"matrix":[225],"factorization.":[226],"was":[230],"tested":[231],"two":[233],"datasets,":[234],"proven":[237],"outperforms":[240],"other":[241],"well-established":[242],"models.":[243]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2}],"updated_date":"2026-08-03T07:22:36.454288","created_date":"2025-10-10T00:00:00"}