{"id":"https://openalex.org/W4296371110","doi":"https://doi.org/10.1145/3564283","title":"RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction","display_name":"RESUS: Warm-up Cold Users via Meta-learning Residual User Preferences in CTR Prediction","publication_year":2022,"publication_date":"2022-09-19","ids":{"openalex":"https://openalex.org/W4296371110","doi":"https://doi.org/10.1145/3564283"},"language":"en","primary_location":{"id":"doi:10.1145/3564283","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3564283","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2210.16080","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5053338416","display_name":"Yanyan Shen","orcid":"https://orcid.org/0000-0001-8364-3674"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanyan Shen","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8364-3674","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101953417","display_name":"Lifan Zhao","orcid":"https://orcid.org/0000-0003-3526-8579"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifan Zhao","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3526-8579","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026429257","display_name":"Weiyu Cheng","orcid":"https://orcid.org/0000-0003-2381-6830"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyu Cheng","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-2381-6830","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052145270","display_name":"Zibin Zhang","orcid":"https://orcid.org/0000-0003-2734-6899"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zibin Zhang","raw_affiliation_strings":["WeChat, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0003-2734-6899","affiliations":[{"raw_affiliation_string":"WeChat, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100604797","display_name":"Wenwen Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwen Zhou","raw_affiliation_strings":["WeChat, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0003-3837-7754","affiliations":[{"raw_affiliation_string":"WeChat, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034893981","display_name":"Kangyi Lin","orcid":"https://orcid.org/0000-0001-6259-392X"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Kangyi","raw_affiliation_strings":["WeChat, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0001-6259-392X","affiliations":[{"raw_affiliation_string":"WeChat, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1682,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.90104829,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"41","issue":"3","first_page":"1","last_page":"26"},"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":0.9690999984741211,"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/T11409","display_name":"Advanced Wireless Network Optimization","score":0.9628000259399414,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7871764898300171},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.685352087020874},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6544829607009888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6158649325370789},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6032522916793823},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5727402567863464},{"id":"https://openalex.org/keywords/preference-learning","display_name":"Preference learning","score":0.5361236333847046},{"id":"https://openalex.org/keywords/complement","display_name":"Complement (music)","score":0.5116270184516907},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.4870193600654602},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.4801880121231079},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45255720615386963},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4257367253303528},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08384981751441956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7871764898300171},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.685352087020874},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6544829607009888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6158649325370789},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6032522916793823},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5727402567863464},{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.5361236333847046},{"id":"https://openalex.org/C112313634","wikidata":"https://www.wikidata.org/wiki/Q7886648","display_name":"Complement (music)","level":5,"score":0.5116270184516907},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.4870193600654602},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.4801880121231079},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45255720615386963},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4257367253303528},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08384981751441956},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C188082640","wikidata":"https://www.wikidata.org/wiki/Q1780899","display_name":"Complementation","level":4,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C127716648","wikidata":"https://www.wikidata.org/wiki/Q104053","display_name":"Phenotype","level":3,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3564283","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3564283","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2210.16080","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.16080","pdf_url":"https://arxiv.org/pdf/2210.16080","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2210.16080","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2210.16080","pdf_url":"https://arxiv.org/pdf/2210.16080","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W605727707","https://openalex.org/W1678356000","https://openalex.org/W2219888463","https://openalex.org/W2475334473","https://openalex.org/W2565021098","https://openalex.org/W2604662567","https://openalex.org/W2608937917","https://openalex.org/W2612690371","https://openalex.org/W2736230012","https://openalex.org/W3025937945","https://openalex.org/W3163842339","https://openalex.org/W6966608766"],"related_works":["https://openalex.org/W2497939785","https://openalex.org/W2219931199","https://openalex.org/W2735929803","https://openalex.org/W2971083348","https://openalex.org/W584290403","https://openalex.org/W3214288750","https://openalex.org/W2786642545","https://openalex.org/W2084560547","https://openalex.org/W4315783862","https://openalex.org/W2146665816"],"abstract_inverted_index":{"Click-through":[0],"Rate":[1],"(CTR)":[2],"prediction":[3,172],"on":[4,133,156,174],"cold":[5,69,175],"users":[6,94],"is":[7,58,165],"a":[8,76,107,150],"challenging":[9],"task":[10],"in":[11,169],"recommender":[12],"systems.":[13],"Recent":[14],"researches":[15],"have":[16],"resorted":[17],"to":[18,20,50,60,110],"meta-learning":[19],"tackle":[21],"the":[22,62,85,96,121,134],"cold-user":[23],"challenge,":[24],"which":[25,57,83,115,141],"either":[26],"perform":[27],"few-shot":[28],"user":[29,54,113,144],"representation":[30],"learning":[31,86,97,147],"or":[32,43],"adopt":[33],"optimization-based":[34],"meta-learning.":[35],"However,":[36],"existing":[37],"methods":[38],"suffer":[39],"from":[40,95,120,149],"information":[41,67],"loss":[42],"inefficient":[44],"optimization":[45],"process,":[46],"and":[47,64,78,137,167],"they":[48],"fail":[49],"explicitly":[51],"model":[52],"global":[53,88,117],"preference":[55,66,89,118],"knowledge,":[56],"crucial":[59],"complement":[61],"sparse":[63],"insufficient":[65],"of":[68,87,98,123],"users.":[70,103,125],"In":[71],"this":[72],"article,":[73],"we":[74,105,127],"propose":[75],"novel":[77],"efficient":[79,130,166],"approach":[80,164],"named":[81],"RESUS,":[82],"decouples":[84],"knowledge":[90,119],"contributed":[91],"by":[92],"collective":[93],"residual":[99,143],"preferences":[100,145],"for":[101],"individual":[102],"Specifically,":[104],"employ":[106],"shared":[108],"predictor":[109],"infer":[111,142],"basis":[112],"preferences,":[114],"acquires":[116],"interactions":[122],"different":[124],"Meanwhile,":[126],"develop":[128],"two":[129],"algorithms":[131],"based":[132],"nearest":[135],"neighbor":[136],"ridge":[138],"regression":[139],"predictors,":[140],"via":[146],"quickly":[148],"few":[151],"user-specific":[152],"interactions.":[153],"Extensive":[154],"experiments":[155],"three":[157],"public":[158],"datasets":[159],"demonstrate":[160],"that":[161],"our":[162],"RESUS":[163],"effective":[168],"improving":[170],"CTR":[171],"accuracy":[173],"users,":[176],"compared":[177],"with":[178],"various":[179],"state-of-the-art":[180],"methods.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
