{"id":"https://openalex.org/W2984338425","doi":"https://doi.org/10.1109/access.2019.2953176","title":"Group Recommendation via Self-Attention and Collaborative Metric Learning Model","display_name":"Group Recommendation via Self-Attention and Collaborative Metric Learning Model","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2984338425","doi":"https://doi.org/10.1109/access.2019.2953176","mag":"2984338425"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2953176","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2953176","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08896961.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/ielx7/6287639/8600701/08896961.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100354466","display_name":"Haiyan Wang","orcid":"https://orcid.org/0000-0003-1053-587X"},"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"]},{"id":"https://openalex.org/I4210126530","display_name":"Data Assurance and Communication Security","ror":"https://ror.org/02z2gfm30","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210126530","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiyan Wang","raw_affiliation_strings":["Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China","Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing, China","School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-1053-587X","affiliations":[{"raw_affiliation_string":"Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, China","institution_ids":[]},{"raw_affiliation_string":"Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing, China","institution_ids":["https://openalex.org/I4210126530"]},{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100750717","display_name":"Yuliang Li","orcid":"https://orcid.org/0000-0002-0625-3995"},"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"]},{"id":"https://openalex.org/I4210126530","display_name":"Data Assurance and Communication Security","ror":"https://ror.org/02z2gfm30","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210126530","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuliang Li","raw_affiliation_strings":["Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing, China","School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0625-3995","affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Big Data Security and Intelligent Processing, Nanjing, China","institution_ids":["https://openalex.org/I4210126530"]},{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046261445","display_name":"Felix Frimpong","orcid":"https://orcid.org/0000-0003-4439-1229"},"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":"Felix Frimpong","raw_affiliation_strings":["School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-0348-0463","affiliations":[{"raw_affiliation_string":"School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"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":2.411,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91451453,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"164844","last_page":"164855"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9717000126838684,"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/T11478","display_name":"Caching and Content Delivery","score":0.9535999894142151,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/group","display_name":"Group (periodic table)","score":0.7413451671600342},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.7398918271064758},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7022236585617065},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6255462169647217},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6059629917144775},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.562609076499939},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5566726326942444},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5383345484733582},{"id":"https://openalex.org/keywords/collaborative-learning","display_name":"Collaborative learning","score":0.45796066522598267},{"id":"https://openalex.org/keywords/metric-space","display_name":"Metric space","score":0.4336893558502197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35442522168159485},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.349010169506073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3393438458442688},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.23865190148353577},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1374587118625641},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10583385825157166},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07490172982215881}],"concepts":[{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.7413451671600342},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.7398918271064758},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7022236585617065},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6255462169647217},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6059629917144775},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.562609076499939},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5566726326942444},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5383345484733582},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.45796066522598267},{"id":"https://openalex.org/C198043062","wikidata":"https://www.wikidata.org/wiki/Q180953","display_name":"Metric space","level":2,"score":0.4336893558502197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35442522168159485},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.349010169506073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3393438458442688},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.23865190148353577},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1374587118625641},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10583385825157166},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07490172982215881},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2953176","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2953176","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08896961.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:96cf66b0e8474b278dca4e3afeb63433","is_oa":true,"landing_page_url":"https://doaj.org/article/96cf66b0e8474b278dca4e3afeb63433","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 164844-164855 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2953176","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2953176","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08896961.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/G5599669179","display_name":"\u57fa\u4e8e\u793e\u4f1a\u9009\u62e9\u7406\u8bba\u7684\u7fa4\u7ec4\u63a8\u8350\u5173\u952e\u6280\u672f\u7814\u7a76","funder_award_id":"61772285","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2984338425.pdf","grobid_xml":"https://content.openalex.org/works/W2984338425.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W1595409454","https://openalex.org/W2133505250","https://openalex.org/W2150203549","https://openalex.org/W2399932691","https://openalex.org/W2604433096","https://openalex.org/W2607386503","https://openalex.org/W2728777969","https://openalex.org/W2741249238","https://openalex.org/W2783565819","https://openalex.org/W2783944588","https://openalex.org/W2786670759","https://openalex.org/W2798538558","https://openalex.org/W2804078698","https://openalex.org/W2806321844","https://openalex.org/W2886661492","https://openalex.org/W2893541821","https://openalex.org/W2893667317","https://openalex.org/W2903803738","https://openalex.org/W2945827670","https://openalex.org/W2947766753","https://openalex.org/W2949687195","https://openalex.org/W2951217911","https://openalex.org/W2951398599","https://openalex.org/W2955081857","https://openalex.org/W2963403868","https://openalex.org/W2963743018","https://openalex.org/W2963981376","https://openalex.org/W2964296635","https://openalex.org/W2964926209","https://openalex.org/W2987999026","https://openalex.org/W3096591391","https://openalex.org/W3100278010","https://openalex.org/W3100591234","https://openalex.org/W3104099913","https://openalex.org/W3122507327","https://openalex.org/W4288083766","https://openalex.org/W4289676341","https://openalex.org/W4385245566","https://openalex.org/W6680216716","https://openalex.org/W6745946970","https://openalex.org/W6751914860","https://openalex.org/W6752378368","https://openalex.org/W6753544890","https://openalex.org/W6754522193","https://openalex.org/W6764449361"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W4220714703","https://openalex.org/W2098758514","https://openalex.org/W2735929803","https://openalex.org/W3008845055","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Group":[0,174],"recommendation":[1,20,44,68,86,175],"has":[2,186,203],"attracted":[3],"wide":[4],"attention":[5],"owing":[6],"to":[7,24,57],"its":[8],"significance":[9],"in":[10,97,206],"real":[11],"applications.":[12],"One":[13],"of":[14,28,40,64,67,80,103,142],"the":[15,37,41,78,101,106,111,140,147,165,181,199],"big":[16],"challenges":[17],"for":[18,36,124,134],"group":[19,30,43,47,81,85,115,126,132,143,155,166],"systems":[21],"is":[22,70,95,158,176],"how":[23],"integrate":[25],"individual":[26],"preferences":[27,35,133,145,167],"each":[29,58],"member":[31],"and":[32,52,90,117,119,146,156,168,170,191,194],"attain":[33],"overall":[34],"group.":[38],"Most":[39],"traditional":[42],"solutions":[45],"regard":[46],"members":[48,116],"as":[49,72,74],"equal":[50],"participants":[51],"assign":[53],"a":[54,61,83,121],"same":[55],"weight":[56,123],"member.":[59,127],"As":[60],"result,":[62],"performance":[63,79,205],"this":[65,98],"type":[66],"methods":[69],"not":[71],"good":[73],"expected.":[75],"To":[76],"improve":[77],"recommendation,":[82],"novel":[84],"model":[87,108,202],"via":[88,160],"Self-Attention":[89,104],"Collaborative":[91],"Metric":[92],"Learning":[93],"(SACML)":[94],"presented":[96],"paper.":[99],"With":[100],"employment":[102],"mechanism,":[105],"SACML":[107,201],"can":[109,136],"learn":[110],"similarity":[112],"interactions":[113],"between":[114,154],"services":[118,135,157],"decide":[120],"different":[122,125],"Based":[128],"on":[129,180,189],"these":[130],"weights,":[131],"be":[137],"generated":[138],"by":[139],"aggregation":[141],"members'":[144],"group's":[148],"own":[149],"preference.":[150],"Similar":[151],"metric":[152,162,183],"space":[153],"obtained":[159,182],"collaborative":[161],"learning":[163],"with":[164,208],"positive":[169],"negative":[171],"services'":[172],"features.":[173],"finally":[177],"implemented":[178],"based":[179],"space.":[184],"Simulation":[185],"been":[187],"conducted":[188],"CAMRa2011":[190],"Meetup":[192],"datasets,":[193],"experimental":[195],"results":[196],"show":[197],"that":[198],"proposed":[200],"better":[204],"comparison":[207],"those":[209],"baseline":[210],"methods.":[211]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}