{"id":"https://openalex.org/W2117311203","doi":"https://doi.org/10.1145/1148170.1148257","title":"Unifying user-based and item-based collaborative filtering approaches by similarity fusion","display_name":"Unifying user-based and item-based collaborative filtering approaches by similarity fusion","publication_year":2006,"publication_date":"2006-08-06","ids":{"openalex":"https://openalex.org/W2117311203","doi":"https://doi.org/10.1145/1148170.1148257","mag":"2117311203"},"language":"en","primary_location":{"id":"doi:10.1145/1148170.1148257","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1148170.1148257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval","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/A5100672312","display_name":"Jun Wang","orcid":"https://orcid.org/0000-0003-0593-1034"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Jun Wang","raw_affiliation_strings":["Delft University of Technology, Delft, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060259737","display_name":"Arjen P. de Vries","orcid":"https://orcid.org/0000-0002-2888-4202"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]},{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Arjen P. de Vries","raw_affiliation_strings":["Delft University of Technology, Delft, The Netherlands and CWI, Amsterdam, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, The Netherlands and CWI, Amsterdam, The Netherlands","institution_ids":["https://openalex.org/I1341640284","https://openalex.org/I98358874"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052699801","display_name":"Marcel Reinders","orcid":"https://orcid.org/0000-0002-1148-1562"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Marcel J. T. Reinders","raw_affiliation_strings":["Delft University of Technology, Delft, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Delft University of Technology, Delft, The Netherlands","institution_ids":["https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100672312"],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":92.2196,"has_fulltext":false,"cited_by_count":846,"citation_normalized_percentile":{"value":0.9995244,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"501","last_page":"508"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9603999853134155,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.9556000232696533,"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":0.8454113602638245},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7005447745323181},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6725635528564453},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.5505058765411377},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5191499590873718},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.491091251373291},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48616310954093933},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4796605408191681},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.44770529866218567},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33120423555374146}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8454113602638245},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7005447745323181},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6725635528564453},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.5505058765411377},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5191499590873718},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.491091251373291},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48616310954093933},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4796605408191681},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.44770529866218567},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33120423555374146},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1145/1148170.1148257","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1148170.1148257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:cwi:oai:cwi.nl:15560","is_oa":false,"landing_page_url":"https://ir.cwi.nl/pub/15560","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencepaper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.101.692","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.101.692","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://ict.ewi.tudelft.nl/pub/jun/sigir06_similarityfuson.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.143.6240","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.143.6240","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cs.vu.nl/ishare/public/I-Share-P28v1.0.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.527.2498","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.527.2498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.tribler.org/trac/raw-attachment/wiki/SimilarityFunction/wang_06_unifying.pdf","raw_type":"text"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:13465","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/13465/","pdf_url":null,"source":{"id":"https://openalex.org/S4306400024","display_name":"UCL Discovery (University College London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45129253","host_organization_name":"University College London","host_organization_lineage":["https://openalex.org/I45129253"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"     In:    (pp. pp. 501-508).   (2006)     ","raw_type":"Proceedings paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","display_name":"No poverty","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1832221731","https://openalex.org/W1976618413","https://openalex.org/W2042281163","https://openalex.org/W2049455633","https://openalex.org/W2070786785","https://openalex.org/W2085937320","https://openalex.org/W2109992782","https://openalex.org/W2110325612","https://openalex.org/W2111212948","https://openalex.org/W2113273124","https://openalex.org/W2117354486","https://openalex.org/W2127300005","https://openalex.org/W2142144955","https://openalex.org/W2155106456","https://openalex.org/W2158275940","https://openalex.org/W2159094788","https://openalex.org/W2169757306","https://openalex.org/W2170304975","https://openalex.org/W2217645240","https://openalex.org/W4232980324"],"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":{"Memory-based":[0],"methods":[1,180],"for":[2],"collaborative":[3,55],"filtering":[4,56],"predict":[5],"new":[6],"ratings":[7,11,26,66,86,99,107,151,158],"by":[8,77,91,101],"averaging":[9],"(weighted)":[10],"between,":[12],"respectively,":[13],"pairs":[14],"of":[15,25,69,87,133,150],"similar":[16,28,31,115,120,160,163],"users":[17,29,116,161],"or":[18,30],"items.":[19,121],"In":[20],"practice,":[21],"a":[22,59,168],"large":[23],"number":[24],"from":[27,80,112,159],"items":[32,164],"are":[33,152,165,181],"not":[34],"available,":[35],"due":[36],"to":[37,41,128,143,171],"the":[38,53,88,102,129,147,173,178],"sparsity":[39,187],"inherent":[40],"rating":[42,74,117],"data.":[43],"Consequently,":[44],"prediction":[45],"quality":[46],"can":[47],"be":[48],"poor.":[49],"This":[50],"paper":[51],"re-formulates":[52],"memory-based":[54],"problem":[57],"in":[58,154],"generative":[60],"probabilistic":[61],"framework,":[62],"treating":[63],"individual":[64],"user-item":[65],"as":[67,167],"predictors":[68],"missing":[70],"ratings.":[71],"The":[72,136],"final":[73],"is":[75,139],"estimated":[76],"fusing":[78],"predictions":[79,83,94],"three":[81],"sources:":[82],"based":[84,95,109],"on":[85,96,110],"same":[89,103],"item":[90,98],"other":[92,113,118],"users,":[93],"different":[97,148],"made":[100],"user,":[104],"and,":[105],"third,":[106],"predicted":[108],"data":[111,144,186],"but":[114,119],"Existing":[122],"user-based":[123],"and":[124,188],"item-based":[125],"approaches":[126],"correspond":[127],"two":[130],"simple":[131],"cases":[132],"our":[134],"framework.":[135],"complete":[137],"model":[138,170],"however":[140],"more":[141,183],"robust":[142,184],"sparsity,":[145],"because":[146],"types":[149],"used":[153],"concert,":[155],"while":[156],"additional":[157],"towards":[162],"employed":[166],"background":[169],"smooth":[172],"predictions.":[174],"Experiments":[175],"demonstrate":[176],"that":[177],"proposed":[179],"indeed":[182],"against":[185],"give":[189],"better":[190],"recommendations.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":32},{"year":2024,"cited_by_count":28},{"year":2023,"cited_by_count":27},{"year":2022,"cited_by_count":34},{"year":2021,"cited_by_count":61},{"year":2020,"cited_by_count":44},{"year":2019,"cited_by_count":47},{"year":2018,"cited_by_count":64},{"year":2017,"cited_by_count":55},{"year":2016,"cited_by_count":60},{"year":2015,"cited_by_count":48},{"year":2014,"cited_by_count":49},{"year":2013,"cited_by_count":53},{"year":2012,"cited_by_count":43}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}