{"id":"https://openalex.org/W2977791108","doi":"https://doi.org/10.1109/ijcnn.2019.8852049","title":"Cross-domain Recommendation with Semantic Correlation in Tagging Systems","display_name":"Cross-domain Recommendation with Semantic Correlation in Tagging Systems","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2977791108","doi":"https://doi.org/10.1109/ijcnn.2019.8852049","mag":"2977791108"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-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/A5101503948","display_name":"Qian Zhang","orcid":"https://orcid.org/0000-0001-9977-8418"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Qian Zhang","raw_affiliation_strings":["Decision Systems and e-Service Intelligence Laboratory, Centre for Artificial Intelligence, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Decision Systems and e-Service Intelligence Laboratory, Centre for Artificial Intelligence, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101460572","display_name":"Hao Peng","orcid":"https://orcid.org/0000-0001-9558-4691"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Peng Hao","raw_affiliation_strings":["Decision Systems and e-Service Intelligence Laboratory, Centre for Artificial Intelligence, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Decision Systems and e-Service Intelligence Laboratory, Centre for Artificial Intelligence, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100675577","display_name":"Jie L\u00fc","orcid":"https://orcid.org/0000-0003-0690-4732"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jie Lu","raw_affiliation_strings":["Decision Systems and e-Service Intelligence Laboratory, Centre for Artificial Intelligence, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Decision Systems and e-Service Intelligence Laboratory, Centre for Artificial Intelligence, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062192039","display_name":"Guangquan Zhang","orcid":"https://orcid.org/0000-0003-3960-0583"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Guangquan Zhang","raw_affiliation_strings":["Decision Systems and e-Service Intelligence Laboratory, Centre for Artificial Intelligence, University of Technology Sydney, Australia"],"affiliations":[{"raw_affiliation_string":"Decision Systems and e-Service Intelligence Laboratory, Centre for Artificial Intelligence, University of Technology Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101503948"],"corresponding_institution_ids":["https://openalex.org/I114017466"],"apc_list":null,"apc_paid":null,"fwci":5.6351,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.96189908,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T10028","display_name":"Topic Modeling","score":0.9983000159263611,"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"}},{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9948999881744385,"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":0.8630558252334595},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.628173291683197},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.6281062364578247},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6052080988883972},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5878869295120239},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5730275511741638},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5528775453567505},{"id":"https://openalex.org/keywords/bridge","display_name":"Bridge (graph theory)","score":0.5281921625137329},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.47670620679855347},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.4413797855377197},{"id":"https://openalex.org/keywords/semantic-space","display_name":"Semantic space","score":0.428687185049057},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36985456943511963},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35383760929107666}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8630558252334595},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.628173291683197},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.6281062364578247},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6052080988883972},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5878869295120239},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5730275511741638},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5528775453567505},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.5281921625137329},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.47670620679855347},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.4413797855377197},{"id":"https://openalex.org/C2986420190","wikidata":"https://www.wikidata.org/wiki/Q39045939","display_name":"Semantic space","level":2,"score":0.428687185049057},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36985456943511963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35383760929107666},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852049","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852049","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:opus.lib.uts.edu.au:10453/141403","is_oa":false,"landing_page_url":"http://hdl.handle.net/10453/141403","pdf_url":null,"source":{"id":"https://openalex.org/S4306401357","display_name":"UTS ePRESS (University of Technology Sydney)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I114017466","host_organization_name":"University of Technology Sydney","host_organization_lineage":["https://openalex.org/I114017466"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Proceeding"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W143867266","https://openalex.org/W1549874165","https://openalex.org/W1968130046","https://openalex.org/W1986614398","https://openalex.org/W2008886893","https://openalex.org/W2020791669","https://openalex.org/W2026969803","https://openalex.org/W2030319410","https://openalex.org/W2030808931","https://openalex.org/W2060972747","https://openalex.org/W2070714069","https://openalex.org/W2083876623","https://openalex.org/W2093522018","https://openalex.org/W2118338035","https://openalex.org/W2135790056","https://openalex.org/W2137245235","https://openalex.org/W2153579005","https://openalex.org/W2157668195","https://openalex.org/W2170304975","https://openalex.org/W2183517875","https://openalex.org/W2193757515","https://openalex.org/W2273486809","https://openalex.org/W2519400179","https://openalex.org/W2556297151","https://openalex.org/W2899813732","https://openalex.org/W4247445178","https://openalex.org/W4292363352","https://openalex.org/W4294170691","https://openalex.org/W6605917969","https://openalex.org/W6680451568","https://openalex.org/W6682691769","https://openalex.org/W6684863674","https://openalex.org/W6726792799","https://openalex.org/W6756065169","https://openalex.org/W6842023336"],"related_works":["https://openalex.org/W2899738483","https://openalex.org/W3140002740","https://openalex.org/W2612746495","https://openalex.org/W2112408611","https://openalex.org/W3156761522","https://openalex.org/W2255924030","https://openalex.org/W2341557172","https://openalex.org/W2554247024","https://openalex.org/W2942081905","https://openalex.org/W4210441873"],"abstract_inverted_index":{"The":[0,114,226],"tagging":[1,96],"system":[2],"provides":[3],"users":[4,153,169,192],"with":[5,92,197],"a":[6,23,41,59,88,134,181],"platform":[7],"to":[8,18,33,111,119,132],"express":[9],"their":[10],"preferences":[11],"as":[12,146],"they":[13,66],"annotate":[14],"terms":[15],"or":[16,170],"keywords":[17],"items.":[19,194],"Tag":[20],"information":[21],"is":[22,40,117,185,235],"bridge":[24,148],"between":[25,70,105,149],"two":[26,217],"domains":[27,162,173,218],"for":[28],"transferring":[29,188,230],"knowledge":[30,189,231],"and":[31,43,108,154,160,193,219,237],"helping":[32],"alleviate":[34],"the":[35,78,102,112,121,147,158,164,178,207,211],"data":[36],"sparsity":[37],"problem,":[38,85],"which":[39,73],"crucial":[42],"challenging":[44,84],"problem":[45],"in":[46,62,77,95,180,216,223],"most":[47],"recommender":[48],"systems.":[49,97],"Existing":[50],"methods":[51],"incorporate":[52],"correlations":[53],"extracted":[54],"from":[55,156,214],"overlapping":[56],"tags":[57,107,128,215,233],"at":[58],"lexical":[60],"level":[61],"cross-domain":[63,89,202],"recommendation,":[64],"but":[65],"neglect":[67],"semantical":[68],"relationships":[69,104],"different":[71],"tags,":[72],"impairs":[74],"prediction":[75,224],"accuracy":[76],"target":[79,161,183],"domain.":[80],"To":[81],"solve":[82],"this":[83],"we":[86],"propose":[87],"recommendation":[90,179,203],"method":[91,99,209],"semantic":[93,103,212],"correlation":[94],"This":[98,142],"automatically":[100],"captures":[101],"non-identical":[106],"applies":[109],"them":[110],"recommendation.":[113],"word2vec":[115],"technique":[116],"used":[118],"learn":[120],"latent":[122],"representations":[123],"of":[124,139],"tags.":[125],"Semantically":[126],"equivalent":[127],"are":[129],"then":[130],"grouped":[131],"form":[133],"joint":[135],"embedding":[136,143,166],"space":[137,144],"comprised":[138],"tag":[140],"clusters.":[141],"serves":[145],"domains.":[150],"By":[151],"mapping":[152],"items":[155,171],"both":[157],"source":[159],"into":[163],"same":[165],"space,":[167],"similar":[168],"across":[172],"can":[174],"be":[175],"identified.":[176],"Thus,":[177],"sparse":[182],"domain":[184],"improved":[186],"by":[187],"through":[190,232],"correlated":[191],"Experimental":[195],"results":[196,227],"three":[198],"datasets":[199],"on":[200],"six":[201],"tasks":[204],"demonstrate":[205],"that":[206,229],"proposed":[208],"exploits":[210],"links":[213],"outperforms":[220],"five":[221],"benchmarks":[222],"accuracy.":[225],"indicate":[228],"semantics":[234],"feasible":[236],"effective.":[238]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}