{"id":"https://openalex.org/W2148943147","doi":"https://doi.org/10.1145/1639714.1639744","title":"Rate it again","display_name":"Rate it again","publication_year":2009,"publication_date":"2009-10-23","ids":{"openalex":"https://openalex.org/W2148943147","doi":"https://doi.org/10.1145/1639714.1639744","mag":"2148943147"},"language":"en","primary_location":{"id":"doi:10.1145/1639714.1639744","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1639714.1639744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the third 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/A5017431776","display_name":"Xavier Amatriain","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Xavier Amatriain","raw_affiliation_strings":["Telefonica Research, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telefonica Research, Barcelona, Spain","institution_ids":["https://openalex.org/I4210134591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077591903","display_name":"Josep M. Pujol","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Josep M. Pujol","raw_affiliation_strings":["Telefonica Research, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telefonica Research, Barcelona, Spain","institution_ids":["https://openalex.org/I4210134591"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102711776","display_name":"Nava Tintarev","orcid":"https://orcid.org/0000-0002-5007-5161"},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Nava Tintarev","raw_affiliation_strings":["Telefonica Research, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telefonica Research, Barcelona, Spain","institution_ids":["https://openalex.org/I4210134591"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013727792","display_name":"Nuria Oliver","orcid":"https://orcid.org/0000-0001-5985-691X"},"institutions":[{"id":"https://openalex.org/I4210134591","display_name":"Telefonica Research and Development","ror":"https://ror.org/03qgzzb04","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210097190","https://openalex.org/I4210134591"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Nuria Oliver","raw_affiliation_strings":["Telefonica Research, Barcelona, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Telefonica Research, Barcelona, Spain","institution_ids":["https://openalex.org/I4210134591"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":24.0694,"has_fulltext":false,"cited_by_count":160,"citation_normalized_percentile":{"value":0.99348576,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"173","last_page":"180"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.996999979019165,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8153913021087646},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7168214321136475},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6672338247299194},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6621631383895874},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5793516039848328},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.5339167714118958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5081324577331543},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5075063109397888},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.48996248841285706},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4781040549278259},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4404227137565613},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.07662591338157654}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8153913021087646},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7168214321136475},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6672338247299194},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6621631383895874},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5793516039848328},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5339167714118958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5081324577331543},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5075063109397888},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.48996248841285706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4781040549278259},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4404227137565613},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.07662591338157654},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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":1,"locations":[{"id":"doi:10.1145/1639714.1639744","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1639714.1639744","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the third ACM conference on Recommender systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1491742575","https://openalex.org/W1652319903","https://openalex.org/W1752113488","https://openalex.org/W1872493208","https://openalex.org/W1971040550","https://openalex.org/W2024779406","https://openalex.org/W2030144199","https://openalex.org/W2070689335","https://openalex.org/W2073635657","https://openalex.org/W2079372328","https://openalex.org/W2116354394","https://openalex.org/W2117281325","https://openalex.org/W2138899136","https://openalex.org/W2164354502","https://openalex.org/W2171960770","https://openalex.org/W2175576420","https://openalex.org/W2341535507","https://openalex.org/W6636888537"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3092506759","https://openalex.org/W138569904","https://openalex.org/W3010890513","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W2368524271"],"abstract_inverted_index":{"A":[0],"common":[1,92],"approach":[2,58],"to":[3,12,18,29,33,59,78,95,104,116,189,203,216],"designing":[4],"Recommender":[5],"Systems":[6],"(RS)":[7],"consists":[8],"of":[9,38,48,83,91,110,151,170,174,193],"asking":[10,114,201,214],"users":[11,25,115,202,215],"explicitly":[13],"rate":[14,117,217],"items":[15,120,133,205],"in":[16,41,68,134,207],"order":[17,77],"collect":[19],"feedback":[20],"about":[21],"their":[22,42,194,199],"preferences.":[23],"However,":[24,130],"have":[26],"been":[27],"shown":[28],"be":[30,210],"inconsistent":[31],"and":[32,162,197],"introduce":[34],"a":[35,56,73,101,172,185],"non-negligible":[36],"amount":[37],"natural":[39,66,84],"noise":[40,67],"ratings":[43],"that":[44],"affects":[45],"the":[46,49,65,69,81,89,135,143,152,168,191],"accuracy":[47,62,128,144],"predictions.":[50],"In":[51,76],"this":[52,96],"paper,":[53],"we":[54,86,99,141,155,166],"present":[55],"novel":[57,102],"improve":[60,190],"RS":[61,188],"by":[63,108,113],"reducing":[64],"input":[70],"data":[71,161,196],"via":[72],"preprocessing":[74],"step.":[75],"quantitatively":[79],"understand":[80],"impact":[82],"noise,":[85],"first":[87],"analyze":[88],"response":[90],"recommendation":[93],"algorithms":[94],"noise.":[97],"Next,":[98],"propose":[100,156],"algorithm":[103],"denoise":[105],"existing":[106],"datasets":[107],"means":[109],"re-rating:":[111],"i.e.":[112],"previously":[118],"rated":[119],"again.":[121],"This":[122],"denoising":[123,159],"step":[124],"yields":[125],"very":[126],"significant":[127],"improvements.":[129],"re-rating":[131,148,179],"all":[132],"original":[136],"dataset":[137],"is":[138],"unpractical.":[139],"Therefore,":[140],"study":[142],"gains":[145],"obtained":[146],"when":[147],"only":[149],"some":[150,208],"ratings.In":[153],"particular,":[154],"two":[157],"partial":[158],"strategies:":[160],"user-dependent":[163],"denoising.":[164],"Finally,":[165],"compare":[167],"value":[169],"adding":[171],"rating":[173],"an":[175,180],"unseen":[176,218],"item":[177],"vs.":[178],"item.":[181],"We":[182],"conclude":[183],"with":[184],"proposal":[186],"for":[187],"quality":[192],"user":[195],"hence":[198],"accuracy:":[200],"re-rate":[204],"might,":[206],"circumstances,":[209],"more":[211],"beneficial":[212],"than":[213],"items.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":11},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":8},{"year":2015,"cited_by_count":10},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":12},{"year":2012,"cited_by_count":13}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}