{"id":"https://openalex.org/W2944420298","doi":"https://doi.org/10.1109/access.2019.2915531","title":"DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction","display_name":"DCCR: Deep Collaborative Conjunctive Recommender for Rating Prediction","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2944420298","doi":"https://doi.org/10.1109/access.2019.2915531","mag":"2944420298"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2915531","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2915531","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08709799.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":null,"license_id":null,"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/ielx7/6287639/8600701/08709799.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006029284","display_name":"Qingxian Wang","orcid":"https://orcid.org/0009-0002-5910-0965"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingxian Wang","raw_affiliation_strings":["School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102311177","display_name":"Binbin Peng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binbin Peng","raw_affiliation_strings":["Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662669","display_name":"Xiaoyu Shi","orcid":"https://orcid.org/0000-0002-4267-7795"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Shi","raw_affiliation_strings":["Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037409031","display_name":"Tianqi Shang","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianqi Shang","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I4210125143","https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091667639","display_name":"Mingsheng Shang","orcid":"https://orcid.org/0000-0002-7024-2270"},"institutions":[{"id":"https://openalex.org/I4210123021","display_name":"Chongqing Institute of Green and Intelligent Technology","ror":"https://ror.org/031npqv35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210123021"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingsheng Shang","raw_affiliation_strings":["Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-7024-2270","affiliations":[{"raw_affiliation_string":"Chongqing Key Laboratory of Big Data and Intelligent Computing, Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, China","institution_ids":["https://openalex.org/I4210123021"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":9.1694,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.97828883,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"7","issue":null,"first_page":"60186","last_page":"60198"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.968500018119812,"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":0.9678999781608582,"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":0.8510622978210449},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.8427778482437134},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7914111614227295},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6902080178260803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6422293782234192},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6322313547134399},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5791091918945312},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4818790555000305},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4536948502063751},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41811603307724},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3849591016769409}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8510622978210449},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8427778482437134},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7914111614227295},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6902080178260803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6422293782234192},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6322313547134399},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5791091918945312},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4818790555000305},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4536948502063751},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41811603307724},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3849591016769409},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2915531","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2915531","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08709799.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d522fc56faf64aca8146e94d4248af44","is_oa":true,"landing_page_url":"https://doaj.org/article/d522fc56faf64aca8146e94d4248af44","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 60186-60198 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2915531","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2915531","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08709799.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":null,"license_id":null,"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/G1138348789","display_name":null,"funder_award_id":"61872065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5469466961","display_name":null,"funder_award_id":"91646114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7281627748","display_name":null,"funder_award_id":"61602434","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":47,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1720514416","https://openalex.org/W1836465849","https://openalex.org/W2038585576","https://openalex.org/W2054141820","https://openalex.org/W2095705004","https://openalex.org/W2105953200","https://openalex.org/W2108598243","https://openalex.org/W2130650317","https://openalex.org/W2159526726","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2219888463","https://openalex.org/W2294567968","https://openalex.org/W2471920251","https://openalex.org/W2475334473","https://openalex.org/W2575006718","https://openalex.org/W2585308011","https://openalex.org/W2605246672","https://openalex.org/W2605350416","https://openalex.org/W2613725451","https://openalex.org/W2615395371","https://openalex.org/W2723293840","https://openalex.org/W2740920897","https://openalex.org/W2760217853","https://openalex.org/W2783565819","https://openalex.org/W2786995169","https://openalex.org/W2789032889","https://openalex.org/W2809617427","https://openalex.org/W2891127200","https://openalex.org/W2919115771","https://openalex.org/W2950621961","https://openalex.org/W2953384591","https://openalex.org/W2963085847","https://openalex.org/W2963323306","https://openalex.org/W3100591234","https://openalex.org/W3100921056","https://openalex.org/W3102895136","https://openalex.org/W6626481562","https://openalex.org/W6638667902","https://openalex.org/W6674330103","https://openalex.org/W6684191040","https://openalex.org/W6696879442","https://openalex.org/W6713134421","https://openalex.org/W6736107892","https://openalex.org/W6738025973","https://openalex.org/W6748408481"],"related_works":["https://openalex.org/W2970845521","https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Recently,":[0],"collaborative":[1,81],"filtering":[2],"combined":[3],"with":[4,180,187,197,221],"various":[5],"kinds":[6,107],"of":[7,57,104,108,122,134,168,194,218,228],"deep":[8,32,80],"learning":[9,33],"models":[10,111],"is":[11,98,125,144,174],"appealing":[12],"to":[13,31,40,51,126,146,224],"recommender":[14],"systems,":[15],"which":[16,44,176],"have":[17],"shown":[18],"a":[19,79,99,116],"strong":[20],"positive":[21],"effect":[22,62],"in":[23,49,138],"an":[24,113,170],"accuracy":[25],"improvement.":[26],"However,":[27],"many":[28],"studies":[29],"related":[30],"model":[34,208],"rely":[35],"heavily":[36],"on":[37,92,155],"abundant":[38],"information":[39],"improve":[41,165],"prediction":[42,86],"accuracy,":[43],"has":[45],"stringent":[46],"data":[47],"requirements":[48],"addition":[50],"raw":[52,94],"rating":[53,85],"data.":[54],"Furthermore,":[55],"most":[56],"them":[58],"ignore":[59],"the":[60,69,93,123,128,132,141,148,157,166,195,216,219,226],"interaction":[61,149],"between":[63,150],"users":[64,135,151],"and":[65,115,136,152,159,192],"items":[66,137,153],"when":[67],"building":[68],"recommendation":[70],"model.":[71,230],"To":[72,163],"address":[73],"these":[74],"issues,":[75],"we":[76],"propose":[77],"DCCR,":[78,169],"conjunctive":[82],"recommender,":[83],"for":[84],"tasks":[87],"that":[88,102,205],"are":[89,200],"solely":[90],"based":[91,154],"ratings.":[95],"A":[96],"DCCR":[97,196,207,220],"hybrid":[100],"architecture":[101],"consists":[103],"two":[105,188],"different":[106],"neural":[109],"network":[110],"(i.e.,":[112],"autoencoder":[114,124],"multilayered":[117,142],"perceptron).":[118],"The":[119,183,202],"main":[120],"function":[121,173],"extract":[127],"latent":[129,161],"features":[130],"from":[131],"perspectives":[133],"parallel,":[139],"while":[140],"perceptron":[143],"used":[145],"represent":[147],"fusing":[156],"user":[158],"item":[160],"features.":[162],"further":[164],"performance":[167,217],"advanced":[171],"activation":[172],"proposed,":[175],"can":[177],"be":[178],"specified":[179],"input":[181],"vectors.":[182],"extensive":[184],"experiments":[185],"conducted":[186],"well-known":[189],"real-world":[190],"datasets":[191],"performances":[193],"varying":[198],"settings":[199],"analyzed.":[201],"results":[203],"demonstrate":[204],"our":[206,229],"outperforms":[209],"other":[210],"state-of-art":[211],"methods.":[212],"We":[213],"also":[214],"discuss":[215],"additional":[222],"layers":[223],"show":[225],"extensibility":[227]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":9}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
