{"id":"https://openalex.org/W2576323920","doi":"https://doi.org/10.1109/wiw.2016.042","title":"A Hybrid Recommendation Model Based on Weighted Bipartite Graph and Collaborative Filtering","display_name":"A Hybrid Recommendation Model Based on Weighted Bipartite Graph and Collaborative Filtering","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2576323920","doi":"https://doi.org/10.1109/wiw.2016.042","mag":"2576323920"},"language":"en","primary_location":{"id":"doi:10.1109/wiw.2016.042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiw.2016.042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops (WIW)","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/A5100740229","display_name":"Xiaohui Hu","orcid":"https://orcid.org/0000-0002-6960-2988"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaohui Hu","raw_affiliation_strings":["School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013524302","display_name":"Zichao Mai","orcid":null},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zichao Mai","raw_affiliation_strings":["School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091883923","display_name":"Haolan Zhang","orcid":"https://orcid.org/0000-0002-5033-1866"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haolan Zhang","raw_affiliation_strings":["Ningbo Institute of Technology, Zhejiang University, Hangzhou, P.R.China"],"affiliations":[{"raw_affiliation_string":"Ningbo Institute of Technology, Zhejiang University, Hangzhou, P.R.China","institution_ids":["https://openalex.org/I159389169","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015564248","display_name":"Yun Xue","orcid":"https://orcid.org/0000-0002-4048-5298"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Xue","raw_affiliation_strings":["School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085411015","display_name":"Weixin Zhou","orcid":"https://orcid.org/0000-0002-3409-9139"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weixin Zhou","raw_affiliation_strings":["School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100363145","display_name":"Xin Chen","orcid":"https://orcid.org/0009-0007-6372-0653"},"institutions":[{"id":"https://openalex.org/I187400657","display_name":"South China Normal University","ror":"https://ror.org/01kq0pv72","country_code":"CN","type":"education","lineage":["https://openalex.org/I187400657"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Chen","raw_affiliation_strings":["School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Physics and Telecommunication Engineering, South China Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I187400657"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100740229"],"corresponding_institution_ids":["https://openalex.org/I187400657"],"apc_list":null,"apc_paid":null,"fwci":1.9904,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.90515018,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"35","issue":null,"first_page":"119","last_page":"122"},"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9649999737739563,"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"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9451000094413757,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.9181358218193054},{"id":"https://openalex.org/keywords/bipartite-graph","display_name":"Bipartite graph","score":0.9180569052696228},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8351727724075317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8165369629859924},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.750458300113678},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5175760984420776},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.48982951045036316},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39807164669036865},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.389076292514801},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32099005579948425},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2820916771888733},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07333314418792725}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.9181358218193054},{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.9180569052696228},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8351727724075317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8165369629859924},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.750458300113678},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5175760984420776},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.48982951045036316},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39807164669036865},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.389076292514801},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32099005579948425},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2820916771888733},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07333314418792725}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wiw.2016.042","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wiw.2016.042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE/WIC/ACM International Conference on Web Intelligence Workshops (WIW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1530276735","https://openalex.org/W1966553486","https://openalex.org/W1971040550","https://openalex.org/W2042281163","https://openalex.org/W2082257952","https://openalex.org/W2145360759","https://openalex.org/W2169757306","https://openalex.org/W2171960770","https://openalex.org/W2322048552","https://openalex.org/W2382416107","https://openalex.org/W2393749465","https://openalex.org/W3125836118"],"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":{"Recommender":[0],"systems":[1],"are":[2],"designed":[3],"to":[4,36],"solve":[5,48],"the":[6,13,59,80,84],"overload":[7],"information.":[8],"Collaborative":[9],"filtering":[10],"based":[11,65],"on":[12,72],"entire":[14],"user":[15],"network":[16,62],"is":[17],"by":[18],"far":[19],"most":[20],"widely":[21],"recommended":[22],"algorithm,":[23],"but":[24],"it":[25,33],"produced":[26],"large":[27],"amounts":[28],"of":[29,39],"operational":[30],"data":[31,44],"and":[32,41,90],"has":[34],"difficulty":[35],"analyze":[37],"characteristics":[38],"products":[40],"deal":[42],"with":[43,63,76],"sparsity":[45],"problem.":[46],"To":[47],"this":[49],"problem,":[50],"we":[51],"employed":[52],"a":[53],"hybrid":[54],"recommendation":[55,78],"model":[56],"which":[57],"combined":[58],"weighted":[60],"bipartite":[61],"item":[64],"collaborative":[66],"filtering.":[67],"The":[68],"experiment":[69],"was":[70],"implemented":[71],"dataset":[73],"BookCrossing.":[74],"Compared":[75],"traditional":[77],"algorithms,":[79],"results":[81],"proved":[82],"that":[83],"proposed":[85],"algorithm":[86],"shows":[87],"better":[88],"performance":[89],"higher":[91],"accuracy.":[92]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
