{"id":"https://openalex.org/W4404370974","doi":"https://doi.org/10.1109/tbdata.2024.3499356","title":"Where Shall We Go: Point-of-Interest Group Recommendation With User Preference Embedding","display_name":"Where Shall We Go: Point-of-Interest Group Recommendation With User Preference Embedding","publication_year":2024,"publication_date":"2024-11-14","ids":{"openalex":"https://openalex.org/W4404370974","doi":"https://doi.org/10.1109/tbdata.2024.3499356"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2024.3499356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3499356","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big 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/A5101638544","display_name":"Yuliang Ma","orcid":"https://orcid.org/0000-0003-1892-5549"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Ma","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-1892-5549","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048539691","display_name":"Zhong\u2010Zhong Jiang","orcid":"https://orcid.org/0000-0003-0616-9416"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong-Zhong Jiang","raw_affiliation_strings":["School of Business Administration &#x0026; Institute of Behavioral and Service Operations Management, Northeastern University, Shenyang, China","School of Business Administration &amp; Institute of Behavioral and Service Operations Management, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-0616-9416","affiliations":[{"raw_affiliation_string":"School of Business Administration &#x0026; Institute of Behavioral and Service Operations Management, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]},{"raw_affiliation_string":"School of Business Administration &amp; Institute of Behavioral and Service Operations Management, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115597871","display_name":"Mingyang Sun","orcid":"https://orcid.org/0000-0003-1136-3766"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingyang Sun","raw_affiliation_strings":["School of Computer Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014346487","display_name":"Ye Yuan","orcid":"https://orcid.org/0000-0002-0247-9866"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Yuan","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0247-9866","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054991337","display_name":"Guoren Wang","orcid":"https://orcid.org/0000-0002-0181-8379"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoren Wang","raw_affiliation_strings":["School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0181-8379","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5902,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8519907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"11","issue":"4","first_page":"1614","last_page":"1627"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9891999959945679,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9609000086784363,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7463843822479248},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.6805363893508911},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5709336996078491},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5671021342277527},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5405972599983215},{"id":"https://openalex.org/keywords/point-of-interest","display_name":"Point of interest","score":0.5024845600128174},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35206037759780884},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.34001678228378296},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21812370419502258},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11952298879623413},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09107711911201477}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7463843822479248},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.6805363893508911},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5709336996078491},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5671021342277527},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5405972599983215},{"id":"https://openalex.org/C150140777","wikidata":"https://www.wikidata.org/wiki/Q960648","display_name":"Point of interest","level":2,"score":0.5024845600128174},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35206037759780884},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.34001678228378296},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21812370419502258},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11952298879623413},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09107711911201477},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbdata.2024.3499356","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbdata.2024.3499356","pdf_url":null,"source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Big Data","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1274309526","display_name":"\u6f14\u5316\u5f02\u8d28\u4fe1\u606f\u7f51\u7edc\u96c6\u6210\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"62072087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2782242939","display_name":null,"funder_award_id":"62002054","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3791527060","display_name":null,"funder_award_id":"N2304014","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4551065173","display_name":null,"funder_award_id":"23&ZD050","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"},{"id":"https://openalex.org/G5793242758","display_name":null,"funder_award_id":"N2406005","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6697320302","display_name":null,"funder_award_id":"N2306008","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8044671957","display_name":"\u793e\u4f1a\u4e92\u52a8\u884c\u4e3a\u89c6\u89d2\u4e0b\u57fa\u4e8e\u4f17\u7b79\u7684\u670d\u52a1\u578b\u5236\u9020\u4f9b\u5e94\u94fe\u5b9a\u4ef7\u7b56\u7565\u7814\u7a76","funder_award_id":"71971052","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/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W96341436","https://openalex.org/W1972436494","https://openalex.org/W2003605635","https://openalex.org/W2040512550","https://openalex.org/W2042281163","https://openalex.org/W2060820597","https://openalex.org/W2064702560","https://openalex.org/W2073013176","https://openalex.org/W2116341502","https://openalex.org/W2117311203","https://openalex.org/W2153207204","https://openalex.org/W2343900247","https://openalex.org/W2385600359","https://openalex.org/W2798303035","https://openalex.org/W2798538558","https://openalex.org/W2801149941","https://openalex.org/W2809097783","https://openalex.org/W2955081857","https://openalex.org/W3014101362","https://openalex.org/W3032445081","https://openalex.org/W3035289325","https://openalex.org/W3035937838","https://openalex.org/W3040157551","https://openalex.org/W3045741132","https://openalex.org/W3097300053","https://openalex.org/W3118392102","https://openalex.org/W3133451866","https://openalex.org/W3170302366","https://openalex.org/W3194847385","https://openalex.org/W3206795945","https://openalex.org/W4221007376","https://openalex.org/W4224248344","https://openalex.org/W4226094521","https://openalex.org/W4226210383","https://openalex.org/W4284668299","https://openalex.org/W4288083766","https://openalex.org/W4290648792","https://openalex.org/W4290943973","https://openalex.org/W4312904860","https://openalex.org/W4319967867","https://openalex.org/W4382239876","https://openalex.org/W4389785536"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2037549926","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W3117467770","https://openalex.org/W2419146053","https://openalex.org/W4388890789","https://openalex.org/W2932872266"],"abstract_inverted_index":{"In":[0],"the":[1,6,20,81,139,158,172,175],"context":[2],"of":[3,8,22,83,121,141,177],"geo-social":[4],"networks,":[5],"objective":[7],"Point-of-Interest":[9,95],"(POI)":[10,96],"group":[11,31,97],"recommendation":[12,32,82,98],"is":[13,33],"to":[14,46,64,74,80,137,154],"propose":[15,93,111,126],"POIs":[16,84,156],"that":[17,132],"align":[18],"with":[19,72,85,171],"preferences":[21,67,75,117,140],"all":[23],"members":[24,142],"within":[25,143],"a":[26,94,112,127,144,150],"specific":[27],"temporal":[28,145],"group.":[29,146,159],"POI":[30,122],"significant":[34],"in":[35,51,57],"enhancing":[36],"user":[37,66,105,116],"experience,":[38],"promoting":[39],"social":[40],"interaction,":[41],"and":[42,54,69],"providing":[43],"convenient":[44],"access":[45],"information.":[47],"It":[48],"also":[49],"aids":[50],"community":[52],"building":[53],"business":[55],"promotion":[56],"real-life":[58],"scenarios.":[59],"However,":[60],"existing":[61],"studies":[62],"fail":[63],"capture":[65],"accurately":[68],"reach":[70],"consensus":[71],"respect":[73],"for":[76,114,157],"POIs,":[77],"which":[78],"leads":[79],"low":[86],"accuracy.":[87],"To":[88],"tackle":[89],"this":[90],"issue,":[91],"we":[92,109,125,148,161],"model,":[99],"named":[100],"<italic":[101],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[102],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">PGR-PM</i>,":[103],"leveraging":[104],"preference":[106],"embedding.":[107,123],"Specifically,":[108],"first":[110],"strategy":[113,131],"representing":[115],"dynamically":[118],"by":[119],"means":[120],"Subsequently,":[124],"hybrid":[128],"weight":[129],"fusion":[130],"utilizes":[133],"an":[134],"attention":[135],"mechanism":[136],"aggregate":[138],"Furthermore,":[147],"design":[149],"three-layer":[151],"perceptron":[152],"structure":[153],"recommend":[155],"Finally,":[160],"conduct":[162],"comprehensive":[163],"experiments":[164],"across":[165],"four":[166],"extensively":[167],"employed":[168],"real-world":[169],"datasets,":[170],"findings":[173],"affirming":[174],"efficacy":[176],"our":[178],"proposed":[179],"approach.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}