{"id":"https://openalex.org/W4381744278","doi":"https://doi.org/10.1109/cscwd57460.2023.10152862","title":"Crowdsourcing Workers Recommendation Algorithm Based on Improved Deep Matrix Factorization","display_name":"Crowdsourcing Workers Recommendation Algorithm Based on Improved Deep Matrix Factorization","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4381744278","doi":"https://doi.org/10.1109/cscwd57460.2023.10152862"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd57460.2023.10152862","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd57460.2023.10152862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5101821005","display_name":"Yuanmeng Tian","orcid":"https://orcid.org/0000-0002-8879-0806"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuanmeng Tian","raw_affiliation_strings":["Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China,610097"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China,610097","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103665550","display_name":"Shuying Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuying Wang","raw_affiliation_strings":["Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China,610097"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China,610097","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101058638","display_name":"Shen Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Xu","raw_affiliation_strings":["Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China,610097"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Computing and Artificial Intelligence,Chengdu,China,610097","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082861362","display_name":"Qing Zheng","orcid":"https://orcid.org/0000-0002-5576-6455"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Zheng","raw_affiliation_strings":["Southwest Jiaotong University,School of Mechanical Engineering,Chengdu,China,610031"],"affiliations":[{"raw_affiliation_string":"Southwest Jiaotong University,School of Mechanical Engineering,Chengdu,China,610031","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101821005"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10941821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":null,"first_page":"65","last_page":"70"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9984999895095825,"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":0.9984999895095825,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9916999936103821,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9767000079154968,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.7491253614425659},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6886935830116272},{"id":"https://openalex.org/keywords/word2vec","display_name":"Word2vec","score":0.6690164804458618},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.6622932553291321},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6380035281181335},{"id":"https://openalex.org/keywords/cosine-similarity","display_name":"Cosine similarity","score":0.5962455868721008},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5682637095451355},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5277224779129028},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5061165690422058},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4602220952510834},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40897780656814575},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39539361000061035},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32696568965911865},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2886991500854492},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18066978454589844},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09028136730194092},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08177241683006287}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.7491253614425659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6886935830116272},{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.6690164804458618},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.6622932553291321},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6380035281181335},{"id":"https://openalex.org/C2780762811","wikidata":"https://www.wikidata.org/wiki/Q1784941","display_name":"Cosine similarity","level":3,"score":0.5962455868721008},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5682637095451355},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5277224779129028},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5061165690422058},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4602220952510834},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40897780656814575},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39539361000061035},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32696568965911865},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2886991500854492},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18066978454589844},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09028136730194092},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08177241683006287},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd57460.2023.10152862","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/cscwd57460.2023.10152862","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1902027874","https://openalex.org/W1989587875","https://openalex.org/W2089042306","https://openalex.org/W2265432294","https://openalex.org/W2388894718","https://openalex.org/W2534506352","https://openalex.org/W2589708577","https://openalex.org/W2605350416","https://openalex.org/W2740920897","https://openalex.org/W2767932468","https://openalex.org/W2949071687","https://openalex.org/W2956954100","https://openalex.org/W2971752922","https://openalex.org/W3116993882","https://openalex.org/W3210731640"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W4287385180","https://openalex.org/W3210334372","https://openalex.org/W4387359329"],"abstract_inverted_index":{"In":[0],"the":[1,6,9,51,55,72,87,97,104,109,114,121,134,145],"current":[2],"research":[3],"of":[4,54,69],"recommending":[5],"workers":[7,20,41,52],"to":[8,50,80,95,107],"demanders,":[10],"most":[11],"scholars":[12],"only":[13],"model":[14],"and":[15,19,43,46,89,151],"analyze":[16],"task":[17],"information":[18],"preferences":[21,63],"while":[22],"ignoring":[23],"demander":[24],"preferences.":[25],"To":[26],"solve":[27],"this":[28,30,59,76,101,140],"problem,":[29],"paper":[31],"proposed":[32],"an":[33],"improved":[34],"deep":[35,122],"matrix":[36,117,123],"factorization":[37,124],"algorithm":[38,60,77,102,125,141],"considering":[39],"both":[40,149],"preference":[42],"demanders":[44],"preference,":[45],"then":[47,90],"applied":[48],"it":[49,85],"recommendation":[53],"crowdsourcing":[56],"platform.":[57],"First,":[58],"constructs":[61],"user":[62,98,110,115],"based":[64],"on":[65],"tags,":[66],"using":[67],"ratings":[68],"tags":[70],"as":[71,126],"initial":[73],"weights.":[74],"Second,":[75],"uses":[78,103],"Word2vec":[79],"get":[81,96],"tag":[82,93],"vectors,":[83],"multiply":[84],"with":[86],"weight,":[88],"average":[91],"all":[92],"vectors":[94],"vector.":[99],"Third,":[100],"cosine":[105],"similarity":[106,111,116],"calculate":[108],"matrix.":[112],"Last,":[113],"is":[118,142],"incorporated":[119],"into":[120],"auxiliary":[127],"information.":[128],"The":[129,136],"experimental":[130],"dataset":[131],"comes":[132],"from":[133],"Zhubajie.com.":[135],"results":[137],"show":[138],"that":[139],"better":[143],"than":[144],"baseline":[146],"models":[147],"in":[148],"MAE":[150],"RMSE.":[152]},"counts_by_year":[],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}