{"id":"https://openalex.org/W1966801777","doi":"https://doi.org/10.1145/1571941.1572133","title":"Temporal collaborative filtering with adaptive neighbourhoods","display_name":"Temporal collaborative filtering with adaptive neighbourhoods","publication_year":2009,"publication_date":"2009-07-19","ids":{"openalex":"https://openalex.org/W1966801777","doi":"https://doi.org/10.1145/1571941.1572133","mag":"1966801777"},"language":"en","primary_location":{"id":"doi:10.1145/1571941.1572133","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1571941.1572133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd 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/A5082323876","display_name":"Neal Lathia","orcid":"https://orcid.org/0000-0003-1696-5838"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Neal Lathia","raw_affiliation_strings":["University College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082771661","display_name":"Stephen Hailes","orcid":"https://orcid.org/0000-0001-7375-3642"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Stephen Hailes","raw_affiliation_strings":["University College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023892723","display_name":"Licia Capra","orcid":"https://orcid.org/0000-0003-1425-3837"},"institutions":[{"id":"https://openalex.org/I45129253","display_name":"University College London","ror":"https://ror.org/02jx3x895","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I45129253"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Licia Capra","raw_affiliation_strings":["University College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University College London, London, United Kingdom","institution_ids":["https://openalex.org/I45129253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I45129253"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"796","last_page":"797"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9904999732971191,"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"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8515111804008484},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7450974583625793},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7174943685531616},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5720703601837158},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5492950081825256},{"id":"https://openalex.org/keywords/neighbourhood","display_name":"Neighbourhood (mathematics)","score":0.5426834225654602},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5022768974304199},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4557509124279022},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4246100187301636},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4237481653690338},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4129113554954529},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2736515402793884}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8515111804008484},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7450974583625793},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7174943685531616},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5720703601837158},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5492950081825256},{"id":"https://openalex.org/C161677786","wikidata":"https://www.wikidata.org/wiki/Q2478475","display_name":"Neighbourhood (mathematics)","level":2,"score":0.5426834225654602},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5022768974304199},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4557509124279022},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4246100187301636},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4237481653690338},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4129113554954529},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2736515402793884},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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":4,"locations":[{"id":"doi:10.1145/1571941.1572133","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1571941.1572133","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.332.5891","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.5891","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www0.cs.ucl.ac.uk/staff/l.capra/publications/lathia_sigir09_extended.pdf","raw_type":"text"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:116501","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/116501/","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: Sanderson, M and Zhai, CX and Zobel, J and Allan, J and Aslam, JA, (eds.) PROCEEDINGS 32ND ANNUAL INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL. (pp. 796 - 797). ASSOC COMPUTING MACHINERY (2009)","raw_type":"Proceedings paper"},{"id":"pmh:oai:eprints.ucl.ac.uk.OAI2:75908","is_oa":false,"landing_page_url":"http://discovery.ucl.ac.uk/75908/","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: : Boston, USA. (2009)","raw_type":"Proceedings paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.7200000286102295,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1966801777","https://openalex.org/W1971040550","https://openalex.org/W1989279326","https://openalex.org/W1993936601","https://openalex.org/W2013427808","https://openalex.org/W2057991616","https://openalex.org/W2084533964","https://openalex.org/W2085937320","https://openalex.org/W2124133956","https://openalex.org/W2145680191","https://openalex.org/W2155912844","https://openalex.org/W2161884853","https://openalex.org/W2171960770","https://openalex.org/W2172249709"],"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/W4376854386"],"abstract_inverted_index":{"Collaborative":[0],"Filtering":[1],"aims":[2],"to":[3,26,46,90,138],"predict":[4,28],"user":[5,16],"tastes,":[6],"by":[7],"minimising":[8],"the":[9,42,49,74,79,91,95,105,127,148],"mean":[10],"error":[11],"produced":[12],"when":[13],"predicting":[14],"hidden":[15],"ratings.":[17],"The":[18],"aim":[19],"of":[20,44,73,82,94,117,129],"a":[21,32,62,70,115,136],"deployed":[22],"recommender":[23],"system":[24,37],"is":[25],"iteratively":[27],"users'":[29],"preferences":[30],"over":[31,114],"dynamic,":[33],"growing":[34,122],"dataset,":[35,76],"and":[36,77,132,134,141],"administrators":[38],"are":[39],"confronted":[40],"with":[41,121],"problem":[43,128],"having":[45],"continuously":[47],"tune":[48],"parameters":[50],"calibrating":[51],"their":[52],"CF":[53,60,84],"algorithm.":[54],"In":[55],"this":[56],"work,":[57],"we":[58],"formalise":[59],"as":[61],"time-dependent,":[63],"iterative":[64,118],"prediction":[65,98,102],"problem.":[66],"We":[67,86,124],"then":[68,125],"perform":[69],"temporal":[71,80,149],"analysis":[72],"Netflix":[75,106],"evaluate":[78],"performance":[81],"two":[83],"algorithms.":[85],"show":[87,111],"that,":[88],"due":[89],"dynamic":[92],"nature":[93],"data,":[96],"certain":[97],"methods":[99],"that":[100,146],"improve":[101],"accuracy":[103],"on":[104],"probe":[107],"set":[108,116],"do":[109],"not":[110],"similar":[112],"improvements":[113],"train-test":[119],"experiments":[120],"data.":[123],"address":[126],"parameter":[130],"selection":[131],"update,":[133],"propose":[135],"method":[137],"automatically":[139],"assign":[140],"update":[142],"per-user":[143],"neighbourhood":[144],"sizes":[145],"(on":[147],"scale)":[150],"outperforms":[151],"setting":[152],"global":[153],"parameters.":[154]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":13},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":11},{"year":2014,"cited_by_count":8},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":7}],"updated_date":"2026-07-19T07:52:34.831488","created_date":"2025-10-10T00:00:00"}
