{"id":"https://openalex.org/W2897524890","doi":"https://doi.org/10.3390/sym10100492","title":"A Semi-Supervised Model for Top-N Recommendation","display_name":"A Semi-Supervised Model for Top-N Recommendation","publication_year":2018,"publication_date":"2018-10-12","ids":{"openalex":"https://openalex.org/W2897524890","doi":"https://doi.org/10.3390/sym10100492","mag":"2897524890"},"language":"en","primary_location":{"id":"doi:10.3390/sym10100492","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym10100492","pdf_url":"https://www.mdpi.com/2073-8994/10/10/492/pdf?version=1540273734","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/10/10/492/pdf?version=1540273734","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102964066","display_name":"Shulong Chen","orcid":"https://orcid.org/0000-0003-3239-0165"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shulong Chen","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory, College of Computer, National University of Defense Technology, Changsha 410073, China"],"raw_orcid":"https://orcid.org/0000-0003-3239-0165","affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory, College of Computer, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101645557","display_name":"Yuxing Peng","orcid":"https://orcid.org/0000-0002-8223-5588"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxing Peng","raw_affiliation_strings":["Science and Technology on Parallel and Distributed Laboratory, College of Computer, National University of Defense Technology, Changsha 410073, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Science and Technology on Parallel and Distributed Laboratory, College of Computer, National University of Defense Technology, Changsha 410073, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102964066"],"corresponding_institution_ids":["https://openalex.org/I170215575"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14300653,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"10","first_page":"492","last_page":"492"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9876000285148621,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9700000286102295,"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/computer-science","display_name":"Computer science","score":0.816241979598999},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.7375607490539551},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.6956716775894165},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6149997711181641},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5231360793113708},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5160079002380371},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5110780000686646},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.498654842376709},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4289973974227905},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4251168966293335}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.816241979598999},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.7375607490539551},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.6956716775894165},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6149997711181641},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5231360793113708},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5160079002380371},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5110780000686646},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.498654842376709},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4289973974227905},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4251168966293335},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym10100492","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym10100492","pdf_url":"https://www.mdpi.com/2073-8994/10/10/492/pdf?version=1540273734","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:0b53bf162e874cc4a0b9210c51b71535","is_oa":true,"landing_page_url":"https://doaj.org/article/0b53bf162e874cc4a0b9210c51b71535","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":"Symmetry, Vol 10, Iss 10, p 492 (2018)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/10/10/492/","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3390/sym10100492","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym10100492","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym10100492","pdf_url":"https://www.mdpi.com/2073-8994/10/10/492/pdf?version=1540273734","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.41999998688697815,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2897524890.pdf","grobid_xml":"https://content.openalex.org/works/W2897524890.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W21569900","https://openalex.org/W61058509","https://openalex.org/W153313452","https://openalex.org/W1479807131","https://openalex.org/W1987431925","https://openalex.org/W1991055526","https://openalex.org/W1999956270","https://openalex.org/W2006822005","https://openalex.org/W2054141820","https://openalex.org/W2061212083","https://openalex.org/W2101409192","https://openalex.org/W2108920354","https://openalex.org/W2124187902","https://openalex.org/W2140310134","https://openalex.org/W2154259852","https://openalex.org/W2159094788","https://openalex.org/W2271825318","https://openalex.org/W2405152757","https://openalex.org/W2788456731","https://openalex.org/W2792285786","https://openalex.org/W6600443243","https://openalex.org/W6713979495"],"related_works":["https://openalex.org/W2366107444","https://openalex.org/W4388145910","https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2381570729","https://openalex.org/W1976205134","https://openalex.org/W51364034","https://openalex.org/W2141938446","https://openalex.org/W2898073868","https://openalex.org/W4284663758"],"abstract_inverted_index":{"Top-N":[0],"recommendation":[1,5,67,81],"is":[2,19,48],"an":[3,85],"important":[4],"technique":[6],"that":[7,137],"delivers":[8],"a":[9,20,37,55,72,105,110,116],"ranked":[10,62,77],"top-N":[11,24],"item":[12],"list":[13,82],"to":[14,28,83,124],"each":[15],"user.":[16],"Data":[17],"sparsity":[18],"great":[21],"challenge":[22],"for":[23,54,145,150],"recommendation.":[25],"In":[26,97],"order":[27],"tackle":[29],"this":[30,33],"problem,":[31],"in":[32,64,79],"paper,":[34],"we":[35,70,99],"propose":[36],"semi-supervised":[38,111],"model":[39],"called":[40],"Semi-BPR":[41],"(Semi-Supervised":[42],"Bayesian":[43],"Personalized":[44],"Ranking).":[45],"Our":[46],"approach":[47,128,139],"based":[49],"on":[50,120],"the":[51,65,80,90,94,101,126,142],"assumption":[52],"that,":[53],"given":[56],"model,":[57],"users":[58],"always":[59],"prefer":[60],"items":[61,76],"higher":[63,78],"generated":[66],"list.":[68],"Therefore,":[69],"select":[71],"certain":[73],"number":[74],"of":[75,118],"construct":[84],"intermediate":[86,102],"set":[87,103,107],"and":[88,108],"optimize":[89],"metric":[91],"Area":[92],"Under":[93],"Curve":[95],"(AUC).":[96],"addition,":[98],"treat":[100],"as":[104],"teaching":[106],"design":[109],"self-training":[112],"model.":[113],"We":[114],"conduct":[115],"series":[117],"experiments":[119],"three":[121],"popular":[122],"datasets":[123],"compare":[125],"proposed":[127],"with":[129],"several":[130],"state-of-the-art":[131],"baselines.":[132],"The":[133],"experimental":[134],"results":[135],"demonstrate":[136],"our":[138],"significantly":[140],"outperforms":[141],"other":[143],"methods":[144],"all":[146],"evaluation":[147],"metrics,":[148],"especially":[149],"sparse":[151],"datasets.":[152]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}