{"id":"https://openalex.org/W2566978420","doi":"https://doi.org/10.1109/ccis.2016.7790265","title":"A collaborative recommendation algorithm based on user cluster classification","display_name":"A collaborative recommendation algorithm based on user cluster classification","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2566978420","doi":"https://doi.org/10.1109/ccis.2016.7790265","mag":"2566978420"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2016.7790265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2016.7790265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th International Conference on Cloud Computing and Intelligence Systems (CCIS)","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/A5100434169","display_name":"Zihao Chen","orcid":"https://orcid.org/0000-0002-6125-3306"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zihao Chen","raw_affiliation_strings":["Beijing University of Posts and Telecommunications, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103209547","display_name":"Zhengmin Li","orcid":"https://orcid.org/0000-0002-3543-949X"},"institutions":[{"id":"https://openalex.org/I4210087772","display_name":"National Computer Network Emergency Response Technical Team/Coordination Center of Chinar","ror":"https://ror.org/00247dh76","country_code":"CN","type":"nonprofit","lineage":["https://openalex.org/I4210087772"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengmin Li","raw_affiliation_strings":["National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China","institution_ids":["https://openalex.org/I4210087772"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100434169"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.6635,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81090953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"1","issue":null,"first_page":"260","last_page":"263"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9693999886512756,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8459464311599731},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7545781135559082},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7388126254081726},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6666533946990967},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.6432154774665833},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5981824398040771},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4974420368671417},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.45143917202949524},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.431466281414032},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4270308017730713},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37275493144989014},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35128629207611084},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2829490303993225},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16145333647727966}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8459464311599731},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7545781135559082},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7388126254081726},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6666533946990967},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.6432154774665833},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5981824398040771},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4974420368671417},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.45143917202949524},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.431466281414032},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4270308017730713},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37275493144989014},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35128629207611084},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2829490303993225},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16145333647727966},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"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/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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccis.2016.7790265","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2016.7790265","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 4th International Conference on Cloud Computing and Intelligence Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W602500507","https://openalex.org/W1909875982","https://openalex.org/W1916337001","https://openalex.org/W1996283866","https://openalex.org/W2061490181","https://openalex.org/W2113858518","https://openalex.org/W2119523409","https://openalex.org/W2196047551","https://openalex.org/W2407374891","https://openalex.org/W2545168320","https://openalex.org/W2737185046"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W2735929803","https://openalex.org/W4220714703","https://openalex.org/W1484355083","https://openalex.org/W3008845055","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W4251329182","https://openalex.org/W1599110641","https://openalex.org/W2098758514"],"abstract_inverted_index":{"Recommendation":[0],"system":[1,29],"is":[2,14,30],"playing":[3],"an":[4,31,124],"increasingly":[5],"important":[6],"role":[7],"for":[8],"Internet":[9],"service,":[10],"the":[11,17,25,36,41,57,102,105,110,113,120,138],"information":[12],"overload":[13],"one":[15],"of":[16,43,59,62,104,126,131],"most":[18],"crucial":[19],"event":[20],"that":[21],"users":[22,94],"encounter":[23],"on":[24,82],"Internet.":[26],"Personalized":[27],"recommendation":[28,45,79],"effective":[32,114],"technique":[33],"to":[34,89,100],"solve":[35],"current":[37],"problem.":[38],"However,":[39],"with":[40,46],"development":[42],"collaborative":[44,78],"heterogeneous":[47],"explicit":[48],"feedbacks":[49],"such":[50],"as":[51],"5-star":[52],"grade":[53],"scores":[54],"rating":[55,64],"systems,":[56],"difficulties":[58],"extreme":[60],"sparsity":[61],"user":[63,83],"data":[65,136],"have":[66],"become":[67],"more":[68,70,92],"and":[69,137],"severe.":[71],"In":[72,87],"this":[73],"paper,":[74],"we":[75,96],"proposed":[76,121],"a":[77,91,98],"algorithm":[80,122],"based":[81],"cluster":[84],"classification":[85],"(UCC).":[86],"order":[88],"obtain":[90],"realistic":[93],"similarity,":[95],"propose":[97],"method":[99],"increase":[101],"accuracy":[103],"score":[106],"prediction":[107],"by":[108],"improve":[109],"similarity":[111],"between":[112],"user.":[115],"Experimental":[116],"results":[117],"show":[118],"that,":[119],"achieved":[123],"average":[125],"5.73%":[127],"improvement":[128],"in":[129],"terms":[130],"recommended":[132],"quality":[133],"using":[134],"sparse":[135],"small":[139],"neighboring":[140],"environment.":[141]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}