{"id":"https://openalex.org/W2016666840","doi":"https://doi.org/10.1145/2566486.2567970","title":"Local collaborative ranking","display_name":"Local collaborative ranking","publication_year":2014,"publication_date":"2014-04-07","ids":{"openalex":"https://openalex.org/W2016666840","doi":"https://doi.org/10.1145/2566486.2567970","mag":"2016666840"},"language":"en","primary_location":{"id":"doi:10.1145/2566486.2567970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2566486.2567970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd international conference on World wide web","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/A5101859889","display_name":"Joonseok Lee","orcid":"https://orcid.org/0000-0002-0786-8086"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joonseok Lee","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017529415","display_name":"Samy Bengio","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Samy Bengio","raw_affiliation_strings":["Google Research, Mountain View, CA, USA","Google Research, Mountain View, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Google Research, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, Mountain View, CA, USA#TAB#","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100730151","display_name":"Seung\u2010Yeon Kim","orcid":"https://orcid.org/0000-0002-4006-6667"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seungyeon Kim","raw_affiliation_strings":["Georgia Institute of Technology, Atlanta, GA, USA","Georgia Institute of Technology Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"Georgia Institute of Technology Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022006934","display_name":"Guy Lebanon","orcid":null},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guy Lebanon","raw_affiliation_strings":["Amazon, Seattle, WA, USA","Amazon, Seattle, WA, USA;"],"affiliations":[{"raw_affiliation_string":"Amazon, Seattle, WA, USA","institution_ids":["https://openalex.org/I1311688040"]},{"raw_affiliation_string":"Amazon, Seattle, WA, USA;","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113437318","display_name":"Yoram Singer","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yoram Singer","raw_affiliation_strings":["Google Research, Mountain View, CA, USA","Google Research, Mountain View, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Google Research, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, Mountain View, CA, USA#TAB#","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101859889"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":48.2646,"has_fulltext":false,"cited_by_count":136,"citation_normalized_percentile":{"value":0.9982422,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"96"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9993000030517578,"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":0.9993000030517578,"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":0.991599977016449,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9726999998092651,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.8548377752304077},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7864397764205933},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.7341204881668091},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7257915735244751},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6919134855270386},{"id":"https://openalex.org/keywords/learning-to-rank","display_name":"Learning to rank","score":0.6880910992622375},{"id":"https://openalex.org/keywords/matrix-norm","display_name":"Matrix norm","score":0.5487837791442871},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5219070911407471},{"id":"https://openalex.org/keywords/low-rank-approximation","display_name":"Low-rank approximation","score":0.5169441103935242},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5151142477989197},{"id":"https://openalex.org/keywords/sparse-matrix","display_name":"Sparse matrix","score":0.47689488530158997},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4683607816696167},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.451210081577301},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42293888330459595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4027503728866577},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36114537715911865},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14069870114326477},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11378088593482971},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07854393124580383}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.8548377752304077},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7864397764205933},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.7341204881668091},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7257915735244751},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6919134855270386},{"id":"https://openalex.org/C86037889","wikidata":"https://www.wikidata.org/wiki/Q4330127","display_name":"Learning to rank","level":3,"score":0.6880910992622375},{"id":"https://openalex.org/C92207270","wikidata":"https://www.wikidata.org/wiki/Q939253","display_name":"Matrix norm","level":3,"score":0.5487837791442871},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5219070911407471},{"id":"https://openalex.org/C90199385","wikidata":"https://www.wikidata.org/wiki/Q6692777","display_name":"Low-rank approximation","level":3,"score":0.5169441103935242},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5151142477989197},{"id":"https://openalex.org/C56372850","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse matrix","level":3,"score":0.47689488530158997},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4683607816696167},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.451210081577301},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42293888330459595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4027503728866577},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36114537715911865},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14069870114326477},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11378088593482971},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07854393124580383},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C25023664","wikidata":"https://www.wikidata.org/wiki/Q1575637","display_name":"Hankel matrix","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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":3,"locations":[{"id":"doi:10.1145/2566486.2567970","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2566486.2567970","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd international conference on World wide web","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.461.3377","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.461.3377","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cc.gatech.edu/~lebanon/papers/lcr.pdf","raw_type":"text"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.649.374","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.649.374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://bengio.abracadoudou.com/cv/publications/pdf/lee_2014_www.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W21006490","https://openalex.org/W1673941785","https://openalex.org/W1976618413","https://openalex.org/W1994389483","https://openalex.org/W2005240732","https://openalex.org/W2006822005","https://openalex.org/W2022638422","https://openalex.org/W2023954349","https://openalex.org/W2042281163","https://openalex.org/W2042605228","https://openalex.org/W2047221353","https://openalex.org/W2059001985","https://openalex.org/W2085040216","https://openalex.org/W2085937320","https://openalex.org/W2101101192","https://openalex.org/W2108862644","https://openalex.org/W2110325612","https://openalex.org/W2119384858","https://openalex.org/W2120350143","https://openalex.org/W2121516364","https://openalex.org/W2126695993","https://openalex.org/W2127176025","https://openalex.org/W2128192653","https://openalex.org/W2132555563","https://openalex.org/W2133169197","https://openalex.org/W2134716712","https://openalex.org/W2135029798","https://openalex.org/W2136928321","https://openalex.org/W2137245235","https://openalex.org/W2137723961","https://openalex.org/W2138790992","https://openalex.org/W2140310134","https://openalex.org/W2140634465","https://openalex.org/W2142537246","https://openalex.org/W2143160289","https://openalex.org/W2143331230","https://openalex.org/W2149166361","https://openalex.org/W2150886314","https://openalex.org/W2156701939","https://openalex.org/W2158822488","https://openalex.org/W2169661502","https://openalex.org/W2170551306","https://openalex.org/W2171749496","https://openalex.org/W2251433429","https://openalex.org/W2296244148","https://openalex.org/W2492794003","https://openalex.org/W2603665811","https://openalex.org/W2604272474","https://openalex.org/W2785046580","https://openalex.org/W2884843966","https://openalex.org/W2963057791","https://openalex.org/W2963770254","https://openalex.org/W2988119488","https://openalex.org/W2990138404","https://openalex.org/W2999905431","https://openalex.org/W3143596294","https://openalex.org/W4232980324","https://openalex.org/W4238717354","https://openalex.org/W4285719527","https://openalex.org/W6637259173","https://openalex.org/W6675208869","https://openalex.org/W6680012447","https://openalex.org/W6680513528","https://openalex.org/W6681941867","https://openalex.org/W6683275658","https://openalex.org/W6684754188","https://openalex.org/W6691660104","https://openalex.org/W7070499600"],"related_works":["https://openalex.org/W4221157149","https://openalex.org/W4283122425","https://openalex.org/W2057590040","https://openalex.org/W4236644679","https://openalex.org/W3135513863","https://openalex.org/W1991825408","https://openalex.org/W1507830821","https://openalex.org/W2969889343","https://openalex.org/W4306936641","https://openalex.org/W1621084367"],"abstract_inverted_index":{"Personalized":[0],"recommendation":[1,25,130,149],"systems":[2,26],"are":[3],"used":[4,128],"in":[5,48],"a":[6,79,92,107,120,141],"wide":[7],"variety":[8],"of":[9,68,106,109,114,125],"applications":[10],"such":[11],"as":[12],"electronic":[13],"commerce,":[14],"social":[15],"networks,":[16],"web":[17],"search,":[18],"and":[19],"more.":[20],"Collaborative":[21],"filtering":[22],"approaches":[23],"to":[24,118,137],"typically":[27],"assume":[28,58],"that":[29,59,103],"the":[30,50,60,69,88,104,126],"rating":[31,51,61],"matrix":[32,52,62],"(e.g.,":[33],"movie":[34],"ratings":[35],"by":[36,73],"viewers)":[37],"is":[38,53,63,135],"low-rank.":[39,55],"In":[40],"this":[41],"paper,":[42],"we":[43,57],"examine":[44],"an":[45],"alternative":[46],"approach":[47,81,143],"which":[49,115],"locally":[54],"Concretely,":[56],"low-rank":[64,84,111],"within":[65],"certain":[66],"neighborhoods":[67],"metric":[70],"space":[71],"defined":[72],"(user,":[74],"item)":[75],"pairs.":[76],"We":[77],"combine":[78],"recent":[80],"for":[82,97,144],"local":[83,110],"approximation":[85],"based":[86],"on":[87],"Frobenius":[89],"norm":[90],"with":[91],"general":[93],"empirical":[94],"risk":[95],"minimization":[96],"ranking":[98,121],"losses.":[99],"Our":[100],"experiments":[101],"indicate":[102],"combination":[105],"mixture":[108],"matrices":[112],"each":[113],"was":[116],"trained":[117],"minimize":[119],"loss":[122],"outperforms":[123],"many":[124],"currently":[127],"state-of-the-art":[129],"systems.":[131,150],"Moreover,":[132],"our":[133],"method":[134],"easy":[136],"parallelize,":[138],"making":[139],"it":[140],"viable":[142],"large":[145],"scale":[146],"real-world":[147],"rank-based":[148]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":14},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":26},{"year":2017,"cited_by_count":15},{"year":2016,"cited_by_count":23},{"year":2015,"cited_by_count":19},{"year":2014,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}