{"id":"https://openalex.org/W2998660913","doi":"https://doi.org/10.1109/access.2019.2962780","title":"Hybrid Deep Framework for Group Event Recommendation","display_name":"Hybrid Deep Framework for Group Event Recommendation","publication_year":2019,"publication_date":"2019-12-27","ids":{"openalex":"https://openalex.org/W2998660913","doi":"https://doi.org/10.1109/access.2019.2962780","mag":"2998660913"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2962780","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2962780","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08943959.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/ielx7/6287639/8948470/08943959.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101843644","display_name":"Ruichang Li","orcid":"https://orcid.org/0000-0001-7213-1569"},"institutions":[{"id":"https://openalex.org/I4210155511","display_name":"First Affiliated Hospital of Henan University","ror":"https://ror.org/0536rsk67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210155511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruichang Li","raw_affiliation_strings":["School of Information Technology, Henan University of Chinese Medicine, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7213-1569","affiliations":[{"raw_affiliation_string":"School of Information Technology, Henan University of Chinese Medicine, Zhengzhou, China","institution_ids":["https://openalex.org/I4210155511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103068224","display_name":"Honglei Zhu","orcid":"https://orcid.org/0000-0002-6983-8181"},"institutions":[{"id":"https://openalex.org/I4210155511","display_name":"First Affiliated Hospital of Henan University","ror":"https://ror.org/0536rsk67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210155511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honglei Zhu","raw_affiliation_strings":["School of Information Technology, Henan University of Chinese Medicine, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-6983-8181","affiliations":[{"raw_affiliation_string":"School of Information Technology, Henan University of Chinese Medicine, Zhengzhou, China","institution_ids":["https://openalex.org/I4210155511"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373577","display_name":"Fan Liao","orcid":"https://orcid.org/0000-0002-7667-3119"},"institutions":[{"id":"https://openalex.org/I4210155511","display_name":"First Affiliated Hospital of Henan University","ror":"https://ror.org/0536rsk67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210155511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liao Fan","raw_affiliation_strings":["School of Information Technology, Henan University of Chinese Medicine, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7667-3119","affiliations":[{"raw_affiliation_string":"School of Information Technology, Henan University of Chinese Medicine, Zhengzhou, China","institution_ids":["https://openalex.org/I4210155511"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047539950","display_name":"Xuekun Song","orcid":"https://orcid.org/0000-0001-8207-8001"},"institutions":[{"id":"https://openalex.org/I4210155511","display_name":"First Affiliated Hospital of Henan University","ror":"https://ror.org/0536rsk67","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210155511"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuekun Song","raw_affiliation_strings":["School of Information Technology, Henan University of Chinese Medicine, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8207-8001","affiliations":[{"raw_affiliation_string":"School of Information Technology, Henan University of Chinese Medicine, Zhengzhou, China","institution_ids":["https://openalex.org/I4210155511"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210155511"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.4443,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.93854728,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"4775","last_page":"4784"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10028","display_name":"Topic Modeling","score":0.968500018119812,"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/cold-start","display_name":"Cold start (automotive)","score":0.8441042900085449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7877287864685059},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7596578598022461},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.705819845199585},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.632721483707428},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5703895092010498},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5161696076393127},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4944789409637451},{"id":"https://openalex.org/keywords/boltzmann-machine","display_name":"Boltzmann machine","score":0.4852847754955292},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42997461557388306},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4249919652938843},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34619563817977905},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3259729743003845}],"concepts":[{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.8441042900085449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7877287864685059},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7596578598022461},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.705819845199585},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.632721483707428},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5703895092010498},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5161696076393127},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4944789409637451},{"id":"https://openalex.org/C192576344","wikidata":"https://www.wikidata.org/wiki/Q194706","display_name":"Boltzmann machine","level":3,"score":0.4852847754955292},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42997461557388306},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4249919652938843},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34619563817977905},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3259729743003845},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2962780","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2962780","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08943959.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:cdaaf7ca14ed4d3394d6b498626ae573","is_oa":true,"landing_page_url":"https://doaj.org/article/cdaaf7ca14ed4d3394d6b498626ae573","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 8, Pp 4775-4784 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2962780","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2962780","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/08943959.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/G944231727","display_name":"\u57fa\u4e8e\u591a\u7ec4\u5b66\u6570\u636e\u878d\u5408\u5206\u6790EGCG\u6291\u5236\u9ad8\u53d1\u6076\u6027\u80bf\u7624\u987a\u94c2\u8010\u836f\u7684\u4f5c\u7528\u673a\u5236\u7814\u7a76","funder_award_id":"61702164","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"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2998660913.pdf","grobid_xml":"https://content.openalex.org/works/W2998660913.grobid-xml"},"referenced_works_count":38,"referenced_works":["https://openalex.org/W39976709","https://openalex.org/W166867944","https://openalex.org/W1527499847","https://openalex.org/W1598855678","https://openalex.org/W1603152151","https://openalex.org/W1973987653","https://openalex.org/W1980300263","https://openalex.org/W1982023510","https://openalex.org/W1985082991","https://openalex.org/W2003605635","https://openalex.org/W2018371603","https://openalex.org/W2062993469","https://openalex.org/W2064702560","https://openalex.org/W2080567541","https://openalex.org/W2086579517","https://openalex.org/W2099866409","https://openalex.org/W2106558516","https://openalex.org/W2116064496","https://openalex.org/W2116802659","https://openalex.org/W2135790056","https://openalex.org/W2136922672","https://openalex.org/W2139113699","https://openalex.org/W2151094178","https://openalex.org/W2444485119","https://openalex.org/W2480140084","https://openalex.org/W2548450378","https://openalex.org/W2621577299","https://openalex.org/W2626919702","https://openalex.org/W2795104036","https://openalex.org/W2798538558","https://openalex.org/W2921942806","https://openalex.org/W2969689322","https://openalex.org/W4234661814","https://openalex.org/W6601578854","https://openalex.org/W6606691767","https://openalex.org/W6631714367","https://openalex.org/W6635904434","https://openalex.org/W6677446147"],"related_works":["https://openalex.org/W2497939785","https://openalex.org/W2219931199","https://openalex.org/W1657011257","https://openalex.org/W2735929803","https://openalex.org/W4241927574","https://openalex.org/W2971083348","https://openalex.org/W3009300005","https://openalex.org/W3214288750","https://openalex.org/W584290403","https://openalex.org/W2786642545"],"abstract_inverted_index":{"Group":[0],"recommender":[1],"systems":[2],"suggesting":[3],"items":[4],"for":[5,53],"a":[6,54,63],"group":[7,19,30,42,55,73,92,98,154,163],"of":[8,41,56,72,115,129,162],"users":[9],"have":[10,22],"received":[11],"many":[12,45],"attentions":[13],"recently.":[14],"Some":[15],"aggregation-based":[16],"and":[17,84,97,113,126,143,157],"model-based":[18],"recommendation":[20,31,43,155,165],"methods":[21,156],"been":[23,34],"proposed.":[24],"However,":[25],"the":[26,39,118,144,152,159],"cold-start":[27,70,133,160],"problem":[28,71,161],"in":[29,44],"has":[32],"not":[33],"well":[35],"studied,":[36],"which":[37],"limits":[38],"application":[40],"important":[46],"domains,":[47],"such":[48,110],"as":[49,111],"recommending":[50],"offline":[51],"events":[52,130],"users.":[57],"In":[58],"this":[59],"paper,":[60],"we":[61],"propose":[62],"new":[64],"hybrid":[65,119],"deep":[66,120],"framework":[67,77,121,150],"to":[68,131],"solve":[69],"event":[74,104,164],"recommendation.":[75],"Our":[76],"incorporates":[78],"multiple":[79],"Restricted":[80],"Boltzmann":[81],"Machines":[82],"(RBM)":[83],"conditional":[85],"RBM.":[86],"The":[87,100],"former":[88],"extracts":[89],"high":[90],"latent":[91,103],"preference":[93],"from":[94],"user":[95,124],"feedback":[96,125],"feedback.":[99],"latter":[101],"obtains":[102],"features":[105],"based":[106],"on":[107,139],"contextual":[108,127],"information,":[109],"location":[112],"organizer":[114],"events.":[116],"Thus,":[117],"can":[122],"utilize":[123],"information":[128],"overcome":[132],"problem.":[134],"We":[135],"conduct":[136],"exhaustive":[137],"experiments":[138],"two":[140],"real-world":[141],"datasets":[142],"results":[145],"show":[146],"that":[147],"our":[148],"proposed":[149],"outperforms":[151],"baseline":[153],"alleviates":[158],"effectively.":[166]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}