{"id":"https://openalex.org/W4415821148","doi":"https://doi.org/10.1109/tkde.2025.3624659","title":"Cluster-Enhanced Dual Discrete Collaborative Filtering for Efficient Recommendation","display_name":"Cluster-Enhanced Dual Discrete Collaborative Filtering for Efficient Recommendation","publication_year":2025,"publication_date":"2025-11-03","ids":{"openalex":"https://openalex.org/W4415821148","doi":"https://doi.org/10.1109/tkde.2025.3624659"},"language":null,"primary_location":{"id":"doi:10.1109/tkde.2025.3624659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3624659","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-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/A5088784958","display_name":"Fan Wang","orcid":"https://orcid.org/0000-0002-0953-6923"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wang","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","College of Computer Science and Technology, Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0002-0953-6923","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028791879","display_name":"Chaochao Chen","orcid":"https://orcid.org/0000-0003-1419-964X"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaochao Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","College of Computer Science and Technology, Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0003-1419-964X","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007858277","display_name":"Weiming Liu","orcid":"https://orcid.org/0000-0002-4115-7667"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiming Liu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","College of Computer Science and Technology, Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0002-4115-7667","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006514077","display_name":"Lianyong Qi","orcid":"https://orcid.org/0000-0001-9875-9856"},"institutions":[{"id":"https://openalex.org/I204553293","display_name":"China University of Petroleum, Beijing","ror":"https://ror.org/041qf4r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I204553293"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianyong Qi","raw_affiliation_strings":["College of Computer Science and Technology, China University of Petroleum, Beijing, China","College of Computer Science and Technology, China University of Petroleum, China"],"raw_orcid":"https://orcid.org/0000-0001-9875-9856","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum, Beijing, China","institution_ids":["https://openalex.org/I204553293"]},{"raw_affiliation_string":"College of Computer Science and Technology, China University of Petroleum, China","institution_ids":["https://openalex.org/I204553293"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076120553","display_name":"Xuyun Zhang","orcid":"https://orcid.org/0000-0001-7353-4159"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuyun Zhang","raw_affiliation_strings":["Department of Computing, Macquarie University, Macquarie Park, NSW, Australia","Department of Computing, Macquarie University, Australia"],"raw_orcid":"https://orcid.org/0000-0001-7353-4159","affiliations":[{"raw_affiliation_string":"Department of Computing, Macquarie University, Macquarie Park, NSW, Australia","institution_ids":["https://openalex.org/I99043593"]},{"raw_affiliation_string":"Department of Computing, Macquarie University, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083137715","display_name":"Yanchao Tan","orcid":"https://orcid.org/0000-0002-3526-6859"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanchao Tan","raw_affiliation_strings":["College of Computer and Data Science, Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","College of Computer and Data Science, Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, China"],"raw_orcid":"https://orcid.org/0000-0002-3526-6859","affiliations":[{"raw_affiliation_string":"College of Computer and Data Science, Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]},{"raw_affiliation_string":"College of Computer and Data Science, Fujian Key Laboratory of Network Computing and Intelligent Information Processing, Fuzhou University, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101547334","display_name":"Mengying Zhu","orcid":"https://orcid.org/0000-0002-9343-5729"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengying Zhu","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","College of Computer Science and Technology, Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0002-9343-5729","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074603286","display_name":"Xiaolin Zheng","orcid":"https://orcid.org/0000-0001-5483-0366"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Zheng","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China","College of Computer Science and Technology, Zhejiang University, China"],"raw_orcid":"https://orcid.org/0000-0001-5483-0366","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":5.3547,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.95955722,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"38","issue":"1","first_page":"138","last_page":"151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9693999886512756,"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":0.9693999886512756,"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/T14413","display_name":"Advanced Technologies in Various Fields","score":0.0038999998942017555,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.002199999988079071,"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/collaborative-filtering","display_name":"Collaborative filtering","score":0.741100013256073},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.6743000149726868},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.6085000038146973},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5730000138282776},{"id":"https://openalex.org/keywords/hamming-space","display_name":"Hamming space","score":0.5561000108718872},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5480999946594238},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5083000063896179},{"id":"https://openalex.org/keywords/discrete-optimization","display_name":"Discrete optimization","score":0.5081999897956848},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4562000036239624}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7979000210762024},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.741100013256073},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.6743000149726868},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.6085000038146973},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5730000138282776},{"id":"https://openalex.org/C2779494224","wikidata":"https://www.wikidata.org/wiki/Q5645799","display_name":"Hamming space","level":5,"score":0.5561000108718872},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5480999946594238},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5083000063896179},{"id":"https://openalex.org/C145671259","wikidata":"https://www.wikidata.org/wiki/Q1493786","display_name":"Discrete optimization","level":3,"score":0.5081999897956848},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4562000036239624},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.43299999833106995},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4259999990463257},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4255000054836273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4189999997615814},{"id":"https://openalex.org/C153782549","wikidata":"https://www.wikidata.org/wiki/Q175116","display_name":"Discrete space","level":2,"score":0.39239999651908875},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.38679999113082886},{"id":"https://openalex.org/C193319292","wikidata":"https://www.wikidata.org/wiki/Q272172","display_name":"Hamming distance","level":2,"score":0.37229999899864197},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36660000681877136},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3662000000476837},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3644999861717224},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.3402000069618225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3000999987125397},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.30000001192092896},{"id":"https://openalex.org/C23990920","wikidata":"https://www.wikidata.org/wiki/Q518831","display_name":"Bernoulli process","level":3,"score":0.2757999897003174},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C2911011789","wikidata":"https://www.wikidata.org/wiki/Q130741","display_name":"Hallucinating","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tkde.2025.3624659","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2025.3624659","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2034096557","display_name":null,"funder_award_id":"62172362","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G59283274","display_name":null,"funder_award_id":"72192823","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":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1971187657","https://openalex.org/W2059851891","https://openalex.org/W2266728343","https://openalex.org/W2336920772","https://openalex.org/W2345812103","https://openalex.org/W2411707397","https://openalex.org/W2604294049","https://openalex.org/W2730106296","https://openalex.org/W2739690870","https://openalex.org/W2742528903","https://openalex.org/W2767948492","https://openalex.org/W2808716093","https://openalex.org/W2886087818","https://openalex.org/W2944708094","https://openalex.org/W2963085847","https://openalex.org/W2963605131","https://openalex.org/W2964280870","https://openalex.org/W2964332113","https://openalex.org/W2983848182","https://openalex.org/W2997574527","https://openalex.org/W3034907508","https://openalex.org/W3034924978","https://openalex.org/W3035598449","https://openalex.org/W3045931268","https://openalex.org/W3047753861","https://openalex.org/W3096005896","https://openalex.org/W3106867121","https://openalex.org/W3108682246","https://openalex.org/W3115386848","https://openalex.org/W3135611392","https://openalex.org/W3140669987","https://openalex.org/W3160345923","https://openalex.org/W3188301284","https://openalex.org/W3200545253","https://openalex.org/W4221030341","https://openalex.org/W4226016963","https://openalex.org/W4226048133","https://openalex.org/W4280611174","https://openalex.org/W4283379500","https://openalex.org/W4283691812","https://openalex.org/W4292387463","https://openalex.org/W4297971002","https://openalex.org/W4300672471","https://openalex.org/W4378194827"],"related_works":[],"abstract_inverted_index":{"Hash-based":[0],"collaborative":[1],"filtering":[2],"(Hash-CF)":[3],"approaches":[4],"recently":[5],"employ":[6],"efficient":[7],"Hamming":[8],"distance":[9],"of":[10,47,66,73,86,185,195],"learned":[11],"binary":[12],"representations":[13,72,147],"to":[14,52,110,144,164],"accelerate":[15],"recommendations.":[16,91],"Benefiting":[17],"from":[18],"its":[19],"probabilistic":[20],"nature,":[21],"Variational":[22],"Autoencoder":[23],"(VAE)":[24],"enables":[25],"robust":[26],"Hash-CF":[27,34,87,93],"with":[28,77,152,189],"stronger":[29],"generalization":[30],"ability.":[31],"However,":[32],"VAE-based":[33],"still":[35],"faces":[36],"two":[37],"challenging":[38],"problems:":[39],"1)":[40],"Traditional":[41],"VAE":[42,96],"urges":[43],"the":[44,84,95,183,190],"latent":[45,102,142,169],"variables":[46],"different":[48,154],"users":[49,67,74,149],"(or":[50,68],"items)":[51],"fit":[53],"a":[54,117,125,131],"unified":[55],"and":[56,60,75,108,130,173,197],"monotonous":[57],"prior":[58],"distribution,":[59],"lacks":[61],"considerations":[62],"for":[63,88,148],"distinctive":[64],"characteristics":[65],"items).":[69],"The":[70,136,156],"obtained":[71],"items":[76,151],"slight":[78],"individual":[79],"differentiation":[80],"may":[81],"further":[82],"weaken":[83],"performance":[85],"subsequent":[89],"personalized":[90],"2)":[92],"under":[94],"framework":[97],"requires":[98],"discrete":[99,107,133,166],"optimization":[100,134,167],"on":[101,168,178],"Bernoulli":[103,170],"distributions,":[104],"which":[105],"are":[106],"NP-hard":[109],"optimize.":[111],"In":[112],"this":[113],"paper,":[114],"we":[115],"propose":[116],"Dual":[118],"Discrete":[119],"Collaborative":[120],"Filtering":[121],"(DDCF)":[122],"approach,":[123],"including":[124],"cluster-enhanced":[126],"representation":[127],"generation":[128],"module":[129,138,158],"CNF-enabled":[132],"module.":[135],"former":[137],"mainly":[139],"develops":[140],"cluster-aware":[141],"space":[143],"generate":[145],"discriminative":[146],"or":[150],"significantly":[153],"characteristics.":[155],"latter":[157],"employs":[159],"Continuous":[160],"Normalizing":[161],"Flow":[162],"(CNF)":[163],"achieve":[165],"distributions":[171],"steadily":[172],"effectively.":[174],"Extensive":[175],"experiments":[176],"conducted":[177],"multiple":[179],"real-world":[180],"datasets":[181],"demonstrate":[182],"superiority":[184],"our":[186],"DDCF":[187],"compared":[188],"state-of-art":[191],"methods":[192],"in":[193],"terms":[194],"effectiveness":[196],"efficiency.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-11-03T00:00:00"}