{"id":"https://openalex.org/W2612150857","doi":"https://doi.org/10.1145/3063955.3063976","title":"CLR","display_name":"CLR","publication_year":2017,"publication_date":"2017-05-08","ids":{"openalex":"https://openalex.org/W2612150857","doi":"https://doi.org/10.1145/3063955.3063976","mag":"2612150857"},"language":"en","primary_location":{"id":"doi:10.1145/3063955.3063976","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3063955.3063976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Turing 50th Celebration Conference - China","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/A5080112817","display_name":"Ning Yin","orcid":"https://orcid.org/0000-0002-9070-8330"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Yin","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100455569","display_name":"Hongyan Li","orcid":"https://orcid.org/0000-0001-7174-2851"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Li","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080214297","display_name":"Hanchen Su","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hanchen Su","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":1.5193,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.86840554,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9883999824523926,"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/T11478","display_name":"Caching and Content Delivery","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.8709944486618042},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6732521057128906},{"id":"https://openalex.org/keywords/click-through-rate","display_name":"Click-through rate","score":0.6401276588439941},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.611799955368042},{"id":"https://openalex.org/keywords/cardinality","display_name":"Cardinality (data modeling)","score":0.5024533271789551},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47987881302833557},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.46640291810035706},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4617246985435486},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4470076262950897},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4304152727127075},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4183759391307831},{"id":"https://openalex.org/keywords/display-advertising","display_name":"Display advertising","score":0.4178701341152191},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.416224867105484},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35342755913734436},{"id":"https://openalex.org/keywords/online-advertising","display_name":"Online advertising","score":0.34957438707351685},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.30210447311401367},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.2007313072681427},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.19716596603393555},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.16316500306129456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8709944486618042},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6732521057128906},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.6401276588439941},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.611799955368042},{"id":"https://openalex.org/C87117476","wikidata":"https://www.wikidata.org/wiki/Q362383","display_name":"Cardinality (data modeling)","level":2,"score":0.5024533271789551},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47987881302833557},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.46640291810035706},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4617246985435486},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4470076262950897},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4304152727127075},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4183759391307831},{"id":"https://openalex.org/C2777999536","wikidata":"https://www.wikidata.org/wiki/Q2399498","display_name":"Display advertising","level":4,"score":0.4178701341152191},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.416224867105484},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35342755913734436},{"id":"https://openalex.org/C512338625","wikidata":"https://www.wikidata.org/wiki/Q624902","display_name":"Online advertising","level":3,"score":0.34957438707351685},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.30210447311401367},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2007313072681427},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.19716596603393555},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.16316500306129456},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3063955.3063976","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3063955.3063976","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Turing 50th Celebration Conference - China","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":38,"referenced_works":["https://openalex.org/W202303397","https://openalex.org/W605727707","https://openalex.org/W748373178","https://openalex.org/W1678356000","https://openalex.org/W1981276685","https://openalex.org/W1983599491","https://openalex.org/W1985759455","https://openalex.org/W1986760411","https://openalex.org/W1992549066","https://openalex.org/W1996976533","https://openalex.org/W2005490094","https://openalex.org/W2026784708","https://openalex.org/W2034926657","https://openalex.org/W2043840617","https://openalex.org/W2051669046","https://openalex.org/W2058839679","https://openalex.org/W2074694452","https://openalex.org/W2076618162","https://openalex.org/W2094286023","https://openalex.org/W2096963972","https://openalex.org/W2099213975","https://openalex.org/W2102667697","https://openalex.org/W2103111465","https://openalex.org/W2106630408","https://openalex.org/W2111355007","https://openalex.org/W2120100126","https://openalex.org/W2135981994","https://openalex.org/W2155653793","https://openalex.org/W2157462866","https://openalex.org/W2181470043","https://openalex.org/W2295739661","https://openalex.org/W2998370342","https://openalex.org/W3125090935","https://openalex.org/W4232478844","https://openalex.org/W4235093068","https://openalex.org/W4250993954","https://openalex.org/W4285719527","https://openalex.org/W4301003819"],"related_works":["https://openalex.org/W2100597815","https://openalex.org/W175164097","https://openalex.org/W2143648166","https://openalex.org/W2952316437","https://openalex.org/W4300589523","https://openalex.org/W2591602503","https://openalex.org/W2078847107","https://openalex.org/W2096414357","https://openalex.org/W3120879483","https://openalex.org/W2162862818"],"abstract_inverted_index":{"Online":[0],"advertisement":[1],"is":[2,56,203,217],"a":[3,46,49,53,64,129,156,220],"significant":[4],"element":[5],"of":[6,35,45,57,96,113,215],"the":[7,33,39,80,108,126,134,187,200,207],"Web":[8],"browsing":[9],"experience.":[10],"A":[11],"good":[12],"advertising":[13,69],"can":[14,171,227,246],"not":[15],"only":[16],"bring":[17],"benefits":[18],"to":[19,48,73,139,142,194],"publisher":[20],"but":[21],"also":[22],"improve":[23],"user":[24,47,92],"satisfaction":[25],"and":[26,71,93,104,166,179,230,250],"extends":[27],"advertiser's":[28],"product":[29],"marketing.":[30],"To":[31,150],"satisfy":[32],"desire":[34],"all":[36,173],"three":[37],"parties,":[38],"click":[40],"through":[41,219],"rate":[42],"(CTR)":[43],"prediction":[44,131,197,256],"specified":[50],"ad":[51],"in":[52,67],"specific":[54],"context":[55,178],"great":[58],"importance.":[59],"This":[60],"challenging":[61],"problem":[62,202],"plays":[63],"key":[65],"role":[66],"online":[68],"system":[70],"has":[72],"deal":[74],"with":[75],"several":[76],"hard":[77],"issues.":[78],"Firstly,":[79],"model":[81,127,135,158,245],"must":[82,122,136],"process":[83],"very":[84,145],"high":[85],"dimensional":[86],"features":[87,100,117,174,181],"from":[88,144,175],"frequently":[89],"changing":[90],"ad,":[91,176],"context,":[94],"most":[95],"which":[97,226],"are":[98],"category":[99],"having":[101],"large":[102,146,253],"cardinality":[103],"sparse":[105],"nature":[106],"extending":[107],"dimensionality":[109],"by":[110,184,190,205],"two":[111,211],"orders":[112],"magnitude.":[114],"Secondly,":[115],"nonlinear":[116,180],"such":[118],"as":[119],"conjunction":[120,188],"information":[121,189],"be":[123,137],"integrated":[124],"into":[125,210],"for":[128,164],"better":[130],"accuracy.":[132],"Finally,":[133],"able":[138],"parallelized":[140],"efficiently":[141],"train":[143],"scale":[147,254],"data":[148,239],"sets.":[149],"address":[151],"these":[152],"problems,":[153],"we":[154],"proposed":[155],"novel":[157],"called":[159],"Coupled":[160],"Logistic":[161],"Regression":[162],"(CLR),":[163],"accurate":[165],"efficient":[167],"CTR":[168,255],"prediction.":[169],"CLR":[170,216,244],"exploit":[172],"user,":[177],"among":[182],"them":[183],"seamlessly":[185],"integrate":[186],"employing":[191],"factorization":[192],"machine":[193],"achieve":[195],"precise":[196],"result.":[198],"And":[199],"high-dimensional":[201],"avoided":[204],"decomposing":[206],"decision":[208],"function":[209],"sub":[212],"ones.":[213],"Scalability":[214],"ensured":[218],"newly":[221],"invited":[222],"MapReduce":[223],"parallelization":[224],"strategy,":[225],"reduce":[228],"communication":[229],"waiting":[231],"time":[232],"between":[233],"nodes.":[234],"Experimental":[235],"results":[236],"on":[237,252],"real-world":[238],"set":[240],"show":[241],"that":[242],"our":[243],"guarantee":[247],"both":[248],"accuracy":[249],"efficiency":[251],"problems.":[257]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2017-05-19T00:00:00"}
