{"id":"https://openalex.org/W3016241322","doi":"https://doi.org/10.1109/icassp40776.2020.9053044","title":"Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation","display_name":"Hybrid Deep-Semantic Matrix Factorization for Tag-Aware Personalized Recommendation","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3016241322","doi":"https://doi.org/10.1109/icassp40776.2020.9053044","mag":"3016241322"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5022889808","display_name":"Zhenghua Xu","orcid":"https://orcid.org/0000-0002-6719-7333"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenghua Xu","raw_affiliation_strings":["State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014947562","display_name":"Di Yuan","orcid":"https://orcid.org/0000-0003-2113-270X"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Yuan","raw_affiliation_strings":["State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, China","institution_ids":["https://openalex.org/I184843921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091549352","display_name":"Thomas Lukasiewicz","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Thomas Lukasiewicz","raw_affiliation_strings":["Department of Computer Science, University of Oxford, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100690715","display_name":"Cheng Chen","orcid":"https://orcid.org/0000-0001-7319-5302"},"institutions":[{"id":"https://openalex.org/I4210130112","display_name":"China Academy of Information and Communications Technology","ror":"https://ror.org/038dte259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210130112","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng Chen","raw_affiliation_strings":["China Academy of Electronics and Information Technology, China"],"affiliations":[{"raw_affiliation_string":"China Academy of Electronics and Information Technology, China","institution_ids":["https://openalex.org/I4210130112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035200265","display_name":"Yishu Miao","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yishu Miao","raw_affiliation_strings":["Department of Computer Science, University of Oxford, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Oxford, United Kingdom","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100737468","display_name":"Guizhi Xu","orcid":"https://orcid.org/0000-0002-9637-0051"},"institutions":[{"id":"https://openalex.org/I184843921","display_name":"Hebei University of Technology","ror":"https://ror.org/018hded08","country_code":"CN","type":"education","lineage":["https://openalex.org/I184843921"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guizhi Xu","raw_affiliation_strings":["State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, China","institution_ids":["https://openalex.org/I184843921"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5022889808"],"corresponding_institution_ids":["https://openalex.org/I184843921"],"apc_list":null,"apc_paid":null,"fwci":2.1352,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.90056353,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3442","last_page":"3446"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.973800003528595,"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/T10028","display_name":"Topic Modeling","score":0.9656999707221985,"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":0.8425077199935913},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.7904279232025146},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6281290054321289},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5647814273834229},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5420258045196533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5091618895530701},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44495123624801636},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3271116018295288},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14153194427490234}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8425077199935913},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7904279232025146},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6281290054321289},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5647814273834229},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5420258045196533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5091618895530701},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44495123624801636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3271116018295288},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14153194427490234},{"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/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053044","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053044","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.4300000071525574,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G8400180575","display_name":null,"funder_award_id":"EP/M025268/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8499197262","display_name":null,"funder_award_id":"EP/J008346/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1549014378","https://openalex.org/W2018426558","https://openalex.org/W2020791669","https://openalex.org/W2025605741","https://openalex.org/W2033342008","https://openalex.org/W2036536766","https://openalex.org/W2045882407","https://openalex.org/W2054141820","https://openalex.org/W2064173066","https://openalex.org/W2100495367","https://openalex.org/W2110798204","https://openalex.org/W2136922672","https://openalex.org/W2138857742","https://openalex.org/W2144487656","https://openalex.org/W2315503695","https://openalex.org/W2507427036","https://openalex.org/W2533870691","https://openalex.org/W2618756248","https://openalex.org/W4251597219","https://openalex.org/W6676481782","https://openalex.org/W6680300913"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W2963185427","https://openalex.org/W2065296176","https://openalex.org/W4380075502","https://openalex.org/W2342498029","https://openalex.org/W1973739845","https://openalex.org/W119752240"],"abstract_inverted_index":{"Matrix":[0],"factorization":[1,33,64],"has":[2],"now":[3],"become":[4],"a":[5,60],"dominant":[6],"solution":[7],"for":[8],"personalized":[9,47,74,100],"recommendation":[10,75],"on":[11,43],"the":[12,17,44,52,70,78,95],"Social":[13],"Web.":[14],"To":[15],"alleviate":[16],"cold":[18],"start":[19],"problem,":[20],"previous":[21],"approaches":[22],"have":[23],"incorporated":[24],"various":[25],"additional":[26],"sources":[27],"of":[28,46,55,72,80,104],"information":[29],"into":[30],"traditional":[31],"matrix":[32,63,86],"models.":[34],"These":[35],"upgraded":[36],"models,":[37],"however,":[38],"achieve":[39],"only":[40],"\"marginal\"":[41],"enhancements":[42],"performance":[45,71],"recommendation.":[48],"Therefore,":[49],"inspired":[50],"by":[51,76],"recent":[53],"development":[54],"deep-semantic":[56,62,81],"modeling,":[57,82],"we":[58],"propose":[59],"hybrid":[61,83],"(HDMF)":[65],"model":[66],"to":[67],"further":[68],"improve":[69],"tag-aware":[73,99],"integrating":[77],"techniques":[79],"learning,":[84],"and":[85],"factorization.":[87],"Experimental":[88],"results":[89],"show":[90],"that":[91],"HDMF":[92],"significantly":[93],"outperforms":[94],"state-of-the-art":[96],"baselines":[97],"in":[98,102],"recommendation,":[101],"terms":[103],"all":[105],"evaluation":[106],"metrics.":[107]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}