{"id":"https://openalex.org/W2014714192","doi":"https://doi.org/10.1145/1864708.1864729","title":"Online evolutionary collaborative filtering","display_name":"Online evolutionary collaborative filtering","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W2014714192","doi":"https://doi.org/10.1145/1864708.1864729","mag":"2014714192"},"language":"en","primary_location":{"id":"doi:10.1145/1864708.1864729","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1864708.1864729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourth ACM conference on Recommender systems","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/A5007393839","display_name":"Nathan N. Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Nathan N. Liu","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, Hong Kong","Hong Kong University Of Science And Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Hong Kong University Of Science And Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100769198","display_name":"Min Zhao","orcid":"https://orcid.org/0000-0002-7324-9187"},"institutions":[{"id":"https://openalex.org/I4210149379","display_name":"NEC (China)","ror":"https://ror.org/04xrcx824","country_code":"CN","type":"company","lineage":["https://openalex.org/I118347220","https://openalex.org/I4210149379"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhao","raw_affiliation_strings":["NEC Labs China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"NEC Labs China, Beijing, China","institution_ids":["https://openalex.org/I4210149379"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059591440","display_name":"Evan Wei Xiang","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Evan Xiang","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, Hong Kong","Hong Kong University Of Science And Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Hong Kong University Of Science And Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100636286","display_name":"Qiang Yang","orcid":"https://orcid.org/0000-0001-5059-8360"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Qiang Yang","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong, Hong Kong","Hong Kong University Of Science And Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Hong Kong University Of Science And Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5007393839"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":17.8708,"has_fulltext":false,"cited_by_count":115,"citation_normalized_percentile":{"value":0.9897533,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"95","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9995999932289124,"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":0.9995999932289124,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9803000092506409,"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/T11309","display_name":"Music and Audio Processing","score":0.968500018119812,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.667145311832428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32607904076576233}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.667145311832428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32607904076576233}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/1864708.1864729","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1864708.1864729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourth ACM conference on Recommender systems","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-40050","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-40050","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"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":23,"referenced_works":["https://openalex.org/W64908097","https://openalex.org/W1488971269","https://openalex.org/W1966801777","https://openalex.org/W1968980002","https://openalex.org/W1976618413","https://openalex.org/W1989626455","https://openalex.org/W2037360998","https://openalex.org/W2037594831","https://openalex.org/W2042281163","https://openalex.org/W2049455633","https://openalex.org/W2057991616","https://openalex.org/W2080320419","https://openalex.org/W2097674647","https://openalex.org/W2101409192","https://openalex.org/W2109992782","https://openalex.org/W2116413942","https://openalex.org/W2117354486","https://openalex.org/W2123427850","https://openalex.org/W2124187902","https://openalex.org/W2165395308","https://openalex.org/W2170337404","https://openalex.org/W2736148341","https://openalex.org/W3009608574"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2382290278","https://openalex.org/W2350741829","https://openalex.org/W2130043461","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Collaborative":[0],"filtering":[1],"algorithms":[2,68,114],"attempt":[3],"to":[4,43,59,61,103],"predict":[5],"a":[6,18,26,36,46,87],"user's":[7,19,37],"interests":[8,38,98],"based":[9,113],"on":[10,132],"his":[11],"past":[12],"feedback.":[13],"In":[14,82],"real":[15,134],"world":[16,135],"applications,":[17],"feedback":[20],"is":[21,32],"often":[22],"continuously":[23],"collected":[24],"over":[25,45,99],"long":[27,47],"period":[28,48],"of":[29,49,143],"time.":[30,50],"It":[31],"very":[33],"common":[34],"for":[35,124],"or":[39],"an":[40,121],"item's":[41],"popularity":[42],"change":[44],"Therefore,":[51],"the":[52,78,109,144],"underlying":[53],"recommendation":[54],"algorithm":[55,123],"should":[56],"be":[57],"able":[58],"adapt":[60],"such":[62],"changes":[63],"accordingly.":[64],"However,":[65],"most":[66],"existing":[67],"do":[69],"not":[70],"distinguish":[71],"current":[72,80],"and":[73,119,141],"historical":[74],"data":[75],"when":[76],"predicting":[77],"users'":[79],"interests.":[81],"this":[83],"paper,":[84],"we":[85],"consider":[86],"new":[88,129],"problem":[89],"-":[90],"online":[91],"evolutionary":[92],"collaborative":[93],"filtering,":[94],"which":[95],"tracks":[96],"user":[97],"time":[100],"in":[101],"order":[102],"make":[104],"timely":[105],"recommendations.":[106],"We":[107],"extended":[108],"widely":[110],"used":[111],"neighborhood":[112,126],"by":[115],"incorporating":[116],"temporal":[117],"information":[118],"developed":[120],"incremental":[122],"updating":[125],"similarities":[127],"with":[128],"data.":[130],"Experiments":[131],"two":[133],"datasets":[136],"demonstrated":[137],"both":[138],"improved":[139],"effectiveness":[140],"efficiency":[142],"proposed":[145],"approach.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":12},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":16},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
