{"id":"https://openalex.org/W2187964832","doi":"https://doi.org/10.1109/icmlc.2015.7340669","title":"A two-stage cross-domain recommendation for cold start problem in cyber-physical systems","display_name":"A two-stage cross-domain recommendation for cold start problem in cyber-physical systems","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2187964832","doi":"https://doi.org/10.1109/icmlc.2015.7340669","mag":"2187964832"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2015.7340669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5100384490","display_name":"Panpan Liu","orcid":"https://orcid.org/0000-0001-7268-0170"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Panpan Liu","raw_affiliation_strings":["School of Logistics Engineering, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Logistics Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102946364","display_name":"Jingjing Cao","orcid":"https://orcid.org/0000-0002-3483-6100"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingjing Cao","raw_affiliation_strings":["School of Logistics Engineering, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Logistics Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108262566","display_name":"Xiaolei Liang","orcid":null},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolei Liang","raw_affiliation_strings":["School of Logistics Engineering, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Logistics Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333961","display_name":"Wenfeng Li","orcid":"https://orcid.org/0000-0001-9491-6543"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenfeng Li","raw_affiliation_strings":["School of Logistics Engineering, Wuhan University of Technology, Wuhan, China"],"affiliations":[{"raw_affiliation_string":"School of Logistics Engineering, Wuhan University of Technology, Wuhan, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100384490"],"corresponding_institution_ids":["https://openalex.org/I196699116"],"apc_list":null,"apc_paid":null,"fwci":1.6229,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.88234073,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"876","last_page":"882"},"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9925000071525574,"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":0.9894000291824341,"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":0.8371111154556274},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7768723368644714},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.7394191026687622},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6988115906715393},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.660391628742218},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.6496747732162476},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5347610712051392},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5306453108787537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4697207510471344},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4654797911643982},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4237828850746155},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.327633261680603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8371111154556274},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7768723368644714},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7394191026687622},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6988115906715393},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.660391628742218},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.6496747732162476},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5347610712051392},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5306453108787537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4697207510471344},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4654797911643982},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4237828850746155},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.327633261680603},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","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/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2015.7340669","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340669","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1592090825","https://openalex.org/W1967597310","https://openalex.org/W1984254690","https://openalex.org/W1994576156","https://openalex.org/W2051791739","https://openalex.org/W2075728230","https://openalex.org/W2122838776","https://openalex.org/W2128869159","https://openalex.org/W2149713648","https://openalex.org/W2164998137","https://openalex.org/W2165698076","https://openalex.org/W4237969503"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W2098758514","https://openalex.org/W2358418295","https://openalex.org/W2497939785","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2735929803"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"always":[2],"offer":[3],"the":[4,83,88,104,109,114,142,149,160,180],"most":[5],"suitable":[6],"goods":[7],"for":[8,141,156,179],"users":[9,102,132],"by":[10,61],"adopting":[11],"collaborative":[12],"filtering":[13],"or":[14,133,151],"content-based":[15],"technology":[16],"based":[17],"on":[18,164],"historical":[19],"ratings":[20],"in":[21,34,39,103,108],"one":[22,55,157],"domain.":[23,106],"However,":[24],"sometimes":[25],"we":[26,69,86,112],"may":[27],"suffer":[28],"from":[29],"item":[30,127,158],"cold":[31],"start":[32],"problem":[33],"a":[35,71,121,129,139],"new":[36,72],"domain,":[37],"especially":[38],"Cyber-Physical":[40],"Systems":[41],"(CPS).":[42],"To":[43],"alleviate":[44],"this":[45,67],"problem,":[46],"many":[47],"recommendation":[48,74,182],"models":[49],"have":[50],"been":[51],"proposed":[52,172],"to":[53,58,91,101,119,124,128],"transfer":[54,63],"domain's":[56],"knowledge":[57],"another":[59],"domain":[60,144],"using":[62],"learning":[64],"algorithm.":[65],"In":[66,82],"paper,":[68],"propose":[70],"cross-domain":[73,181],"algorithm":[75,90,118],"which":[76,95],"is":[77],"divided":[78],"into":[79],"two":[80,161],"stages.":[81,162],"first":[84],"stage,":[85,111],"apply":[87],"TrAdaBoost":[89],"select":[92],"some":[93],"items":[94,145],"are":[96],"worthy":[97],"of":[98,131],"being":[99],"recommended":[100,150,153],"target":[105,143],"Then":[107],"second":[110],"adopt":[113],"nonparametric":[115],"pairwise":[116],"clustering":[117],"make":[120,138],"decision":[122],"whether":[123],"recommend":[125],"an":[126],"group":[130],"not.":[134],"We":[135],"not":[136,152],"only":[137],"classification":[140],"but":[146],"also":[147],"find":[148],"customer":[154],"groups":[155],"through":[159],"Experiments":[163],"real":[165],"world":[166],"data":[167],"sets":[168],"demonstrate":[169],"that":[170],"our":[171],"method":[173],"performs":[174],"better":[175],"than":[176],"other":[177],"algorithms":[178],"task.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}