{"id":"https://openalex.org/W2065434936","doi":"https://doi.org/10.1109/icinfa.2013.6720340","title":"A cross cluster-based collaborative filtering method for recommendation","display_name":"A cross cluster-based collaborative filtering method for recommendation","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2065434936","doi":"https://doi.org/10.1109/icinfa.2013.6720340","mag":"2065434936"},"language":"en","primary_location":{"id":"doi:10.1109/icinfa.2013.6720340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2013.6720340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101472135","display_name":"Ming Gao","orcid":"https://orcid.org/0000-0002-5603-2680"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Gao","raw_affiliation_strings":["Shenzhen Key Laboratory of High Performance Data Mining, Chinese Academy of Sciences, Shenzhen, China","Shenzhen Key Lab. of High Performance Data Min., Shenzhen Inst. of Adv. Technol., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of High Performance Data Mining, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenzhen Key Lab. of High Performance Data Min., Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013223614","display_name":"Fuyuan Cao","orcid":"https://orcid.org/0000-0003-1111-8461"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuyuan Cao","raw_affiliation_strings":["Shenzhen Key Laboratory of High Performance Data Mining, Chinese Academy of Sciences, Shenzhen, China","Shenzhen Key Lab. of High Performance Data Min., Shenzhen Inst. of Adv. Technol., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of High Performance Data Mining, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenzhen Key Lab. of High Performance Data Min., Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003347359","display_name":"Joshua Zhexue Huang","orcid":"https://orcid.org/0000-0002-6797-2571"},"institutions":[{"id":"https://openalex.org/I158809036","display_name":"Shenzhen Institute of Information Technology","ror":"https://ror.org/03wrf9427","country_code":"CN","type":"education","lineage":["https://openalex.org/I158809036"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Joshua Zhexue Huang","raw_affiliation_strings":["Shenzhen Key Laboratory of High Performance Data Mining, Chinese Academy of Sciences, Shenzhen, China","Shenzhen Key Lab. of High Performance Data Min., Shenzhen Inst. of Adv. Technol., Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory of High Performance Data Mining, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenzhen Key Lab. of High Performance Data Min., Shenzhen Inst. of Adv. Technol., Shenzhen, China","institution_ids":["https://openalex.org/I158809036"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"447","last_page":"452"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9631999731063843,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.961899995803833,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.8810659646987915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8570116758346558},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8259861469268799},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7787876725196838},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7283480763435364},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5804869532585144},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5360543727874756},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4375948905944824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2479417622089386},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.16276761889457703},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.06445345282554626}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8810659646987915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8570116758346558},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8259861469268799},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7787876725196838},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7283480763435364},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5804869532585144},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5360543727874756},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4375948905944824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2479417622089386},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.16276761889457703},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.06445345282554626}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icinfa.2013.6720340","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icinfa.2013.6720340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Information and Automation (ICIA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"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":19,"referenced_works":["https://openalex.org/W1486317198","https://openalex.org/W1492675677","https://openalex.org/W1597703625","https://openalex.org/W1832221731","https://openalex.org/W1860991815","https://openalex.org/W1966553486","https://openalex.org/W1976618413","https://openalex.org/W1996283866","https://openalex.org/W2026962484","https://openalex.org/W2054141820","https://openalex.org/W2057932305","https://openalex.org/W2100235918","https://openalex.org/W2108119513","https://openalex.org/W2136944193","https://openalex.org/W2158515176","https://openalex.org/W2159155347","https://openalex.org/W2400908863","https://openalex.org/W4285719527","https://openalex.org/W6676321539"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W135044020","https://openalex.org/W2103058005"],"abstract_inverted_index":{"As":[0],"the":[1,17,48,52,65,102,114,119],"clustering-based":[2,26],"model":[3],"has":[4,13],"better":[5],"scalability":[6],"than":[7],"typical":[8],"collaborative":[9],"filtering":[10],"methods,":[11],"it":[12],"become":[14],"one":[15],"of":[16,64,67,90,121],"most":[18],"successful":[19],"approaches":[20],"for":[21,60],"recommender":[22],"systems.":[23],"However,":[24],"since":[25],"algorithms":[27],"often":[28],"result":[29],"in":[30,92],"nearby":[31,68,86],"users":[32,45,62,87],"being":[33,42],"divided":[34],"into":[35],"different":[36],"clusters,":[37],"they":[38],"only":[39],"recommend":[40],"items":[41],"rated":[43],"by":[44,84],"belonging":[46],"to":[47,79,100],"same":[49],"cluster":[50],"with":[51],"active":[53],"user,":[54],"and":[55],"recommendation":[56,82],"opportunities":[57,83],"are":[58],"missed":[59],"some":[61],"because":[63],"loss":[66],"users.":[69],"In":[70],"this":[71],"paper,":[72],"we":[73],"propose":[74],"a":[75],"cross":[76],"cluster-based":[77],"method":[78,116],"take":[80],"more":[81],"considering":[85],"through":[88],"merging":[89],"neighbors":[91],"user":[93],"clusters.":[94,104],"We":[95],"define":[96],"an":[97],"associate":[98],"degree":[99],"find":[101],"neighboring":[103],"Experimental":[105],"results":[106],"on":[107],"real":[108],"data":[109],"sets":[110],"have":[111],"shown":[112],"that":[113],"proposed":[115],"can":[117],"improve":[118],"accuracy":[120],"recommendation.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}