{"id":"https://openalex.org/W2113273124","doi":"https://doi.org/10.1145/1076034.1076056","title":"Scalable collaborative filtering using cluster-based smoothing","display_name":"Scalable collaborative filtering using cluster-based smoothing","publication_year":2005,"publication_date":"2005-08-15","ids":{"openalex":"https://openalex.org/W2113273124","doi":"https://doi.org/10.1145/1076034.1076056","mag":"2113273124"},"language":"en","primary_location":{"id":"doi:10.1145/1076034.1076056","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1076034.1076056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval","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/A5109845737","display_name":"Gui-Rong Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gui-Rong Xue","raw_affiliation_strings":["Shanghai Jiao-Tong University, Shanghai, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao-Tong University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028846979","display_name":"Chenxi Lin","orcid":"https://orcid.org/0000-0003-4439-290X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenxi Lin","raw_affiliation_strings":["Shanghai Jiao-Tong University, Shanghai, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao-Tong University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","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, Clearwater Bay, Kowloon, Hong Kong",", Hong Kong University of Science and Technology, Clearwater Bay, Kowloon, Hong Kong"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Clearwater Bay, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":", Hong Kong University of Science and Technology, Clearwater Bay, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110883071","display_name":"Wensi Xi","orcid":null},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"WenSi Xi","raw_affiliation_strings":["Virginia Polytechnic Institute and State University, Virginia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Virginia Polytechnic Institute and State University, Virginia","institution_ids":["https://openalex.org/I859038795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016928764","display_name":"Hua-Jun Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Hua-Jun Zeng","raw_affiliation_strings":["Microsoft Research Asia, Beijing, P.R. China","[Microsoft Research Asia, Beijing, P.R. China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"[Microsoft Research Asia, Beijing, P.R. China]","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001571390","display_name":"Yong Yu","orcid":"https://orcid.org/0000-0003-0281-8271"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yu","raw_affiliation_strings":["Shanghai Jiao-Tong University, Shanghai, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Jiao-Tong University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088372348","display_name":"Zheng Chen","orcid":"https://orcid.org/0000-0003-4013-3492"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]},{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Zheng Chen","raw_affiliation_strings":["Microsoft Research Asia, Beijing, P.R. China","[Microsoft Research Asia, Beijing, P.R. China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research Asia, Beijing, P.R. China","institution_ids":["https://openalex.org/I4210113369"]},{"raw_affiliation_string":"[Microsoft Research Asia, Beijing, P.R. China]","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":665,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"114","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9613000154495239,"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"}},{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9587000012397766,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/movielens","display_name":"MovieLens","score":0.904206395149231},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.8929246664047241},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8304369449615479},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.8253039121627808},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7397418022155762},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5543950796127319},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5375381112098694},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48369675874710083},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.480448454618454},{"id":"https://openalex.org/keywords/limit","display_name":"Limit (mathematics)","score":0.4653404951095581},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.42456600069999695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4104151725769043},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.37394189834594727},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07465595006942749}],"concepts":[{"id":"https://openalex.org/C2776156558","wikidata":"https://www.wikidata.org/wiki/Q4353746","display_name":"MovieLens","level":4,"score":0.904206395149231},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8929246664047241},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8304369449615479},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.8253039121627808},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7397418022155762},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5543950796127319},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5375381112098694},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48369675874710083},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.480448454618454},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.4653404951095581},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.42456600069999695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4104151725769043},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.37394189834594727},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07465595006942749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/1076034.1076056","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1076034.1076056","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.104.7794","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.104.7794","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.ust.hk/~qyang/Papers/2005/sigir-xue.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.227.5662","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.227.5662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cse.ust.hk/%7Eqyang/Docs/2005/Sigir05Xue.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.487.2960","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.487.2960","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://research.microsoft.com/pubs/69197/f355-xue.pdf","raw_type":"text"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-65573","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-65573","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":[{"id":"https://metadata.un.org/sdg/11","score":0.5099999904632568,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W178169250","https://openalex.org/W179787377","https://openalex.org/W1500054898","https://openalex.org/W1510348757","https://openalex.org/W1579712541","https://openalex.org/W1629473008","https://openalex.org/W1673941785","https://openalex.org/W1718512272","https://openalex.org/W1832221731","https://openalex.org/W1896115748","https://openalex.org/W1971040550","https://openalex.org/W1999047234","https://openalex.org/W2034500013","https://openalex.org/W2042281163","https://openalex.org/W2043403353","https://openalex.org/W2068159075","https://openalex.org/W2073116969","https://openalex.org/W2085937320","https://openalex.org/W2097129520","https://openalex.org/W2098774097","https://openalex.org/W2109992782","https://openalex.org/W2110325612","https://openalex.org/W2117354486","https://openalex.org/W2120959311","https://openalex.org/W2121227244","https://openalex.org/W2155106456","https://openalex.org/W2169757306","https://openalex.org/W2519805780","https://openalex.org/W4232980324","https://openalex.org/W6636593642","https://openalex.org/W6637259173"],"related_works":["https://openalex.org/W2797500822","https://openalex.org/W2355698112","https://openalex.org/W2022984797","https://openalex.org/W2986679525","https://openalex.org/W4205822456","https://openalex.org/W4299358966","https://openalex.org/W2981634480","https://openalex.org/W2188396403","https://openalex.org/W2368078825","https://openalex.org/W4288082747"],"abstract_inverted_index":{"Memory-based":[0],"approaches":[1,77],"for":[2,95],"collaborative":[3,133],"filtering":[4,134],"identify":[5],"the":[6,21,23,42,58,72,89,93],"similarity":[7],"between":[8],"two":[9,32,76,118],"users":[10],"by":[11,78],"comparing":[12],"their":[13],"ratings":[14],"on":[15,117],"a":[16,67,80,102],"set":[17],"of":[18,60,74],"items.":[19],"In":[20,62,83],"past,":[22],"memory-based":[24],"approach":[25,44,54,69,128],"has":[26,45],"been":[27,46],"shown":[28],"to":[29,48,56],"suffer":[30],"from":[31,88],"fundamental":[33],"problems:":[34],"data":[35,91,96],"sparsity":[36],"and":[37,98,121],"difficulty":[38],"in":[39,113],"scalability.":[40],"Alternatively,":[41],"model-based":[43],"proposed":[47,127],"alleviate":[49],"these":[50,75],"problems,":[51],"but":[52],"this":[53,63],"tends":[55],"limit":[57],"range":[59],"users.":[61],"paper,":[64],"we":[65,104],"present":[66],"novel":[68],"that":[70,124],"combines":[71],"advantages":[73],"introducing":[79],"smoothing-based":[81],"method.":[82],"our":[84,125],"approach,":[85],"clusters":[86],"generated":[87],"training":[90],"provide":[92,105],"basis":[94],"smoothing":[97],"neighborhood":[99],"selection.":[100],"As":[101],"result,":[103],"higher":[106],"accuracy":[107],"as":[108,110],"well":[109],"increased":[111],"efficiency":[112],"recommendations.":[114],"Empirical":[115],"studies":[116],"datasets":[119],"(EachMovie":[120],"MovieLens)":[122],"show":[123],"new":[126],"consistently":[129],"outperforms":[130],"other":[131],"state-of-art":[132],"algorithms.":[135]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":19},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":38},{"year":2019,"cited_by_count":41},{"year":2018,"cited_by_count":40},{"year":2017,"cited_by_count":37},{"year":2016,"cited_by_count":53},{"year":2015,"cited_by_count":47},{"year":2014,"cited_by_count":58},{"year":2013,"cited_by_count":54},{"year":2012,"cited_by_count":45}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}