{"id":"https://openalex.org/W4402706475","doi":"https://doi.org/10.48550/arxiv.2408.16238","title":"Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction","display_name":"Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction","publication_year":2024,"publication_date":"2024-08-29","ids":{"openalex":"https://openalex.org/W4402706475","doi":"https://doi.org/10.48550/arxiv.2408.16238"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2408.16238","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.16238","pdf_url":"https://arxiv.org/pdf/2408.16238","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":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2408.16238","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5115590504","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-6956-5550"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Liu, Qi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027504956","display_name":"Xingyuan Tang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tang, Xingyuan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101945412","display_name":"Jianqiang Huang","orcid":"https://orcid.org/0000-0003-2234-2696"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Jianqiang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111335457","display_name":"Xiangqian Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Xiangqian","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036251446","display_name":"Haoran Jin","orcid":"https://orcid.org/0000-0002-9412-3946"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jin, Haoran","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102336472","display_name":"Jin Chen","orcid":"https://orcid.org/0009-0002-1345-3618"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Jin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074338888","display_name":"Yuanhao Pu","orcid":"https://orcid.org/0000-0002-9485-5573"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pu, Yuanhao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085254654","display_name":"Defu Lian","orcid":"https://orcid.org/0000-0002-3507-9607"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lian, Defu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101128704","display_name":"Tan Qu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qu, Tan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100407648","display_name":"Zhe Wang","orcid":"https://orcid.org/0000-0002-9835-6325"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zhe","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101661963","display_name":"Jia Cheng","orcid":"https://orcid.org/0000-0001-7486-5830"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cheng, Jia","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5084023507","display_name":"Jun Lei","orcid":"https://orcid.org/0000-0002-1030-0715"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei, Jun","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5115590504"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13731","display_name":"Advanced Computing and Algorithms","score":0.9822999835014343,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social 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":0.6442762613296509},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6243852376937866},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5436517596244812},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.4271644949913025},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38027653098106384},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.12273702025413513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11020883917808533}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6442762613296509},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6243852376937866},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5436517596244812},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.4271644949913025},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38027653098106384},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.12273702025413513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11020883917808533},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2408.16238","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.16238","pdf_url":"https://arxiv.org/pdf/2408.16238","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":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2408.16238","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2408.16238","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2408.16238","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2408.16238","pdf_url":"https://arxiv.org/pdf/2408.16238","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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402706475.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W3123837699"],"abstract_inverted_index":{"Natural":[0],"content":[1,41,102],"and":[2,61,144,177,189,195,245],"advertisement":[3,19,104,151,181,211],"coexist":[4],"in":[5,11,203],"industrial":[6],"recommendation":[7],"systems":[8],"but":[9],"differ":[10],"data":[12,60,220,243],"distribution.":[13],"Concretely,":[14],"traffic":[15],"related":[16],"to":[17,24,43,96,103,240],"the":[18,31,37,44,51,55,62,70,147,193,199,204,210,219],"is":[20],"considerably":[21],"sparser":[22,45],"compared":[23],"that":[25,67],"of":[26,33,57,64,100,110,187],"natural":[27,40,101,130,154],"content,":[28],"which":[29,118,136,160],"motivates":[30],"development":[32],"transferring":[34],"knowledge":[35,99],"from":[36,54,69,165,172],"richer":[38,185],"source":[39,59],"domain":[42],"advertising":[46,226],"domain.":[47],"The":[48],"challenges":[49,222],"include":[50],"inefficiencies":[52],"arising":[53],"management":[56],"extensive":[58],"problem":[63,201],"'catastrophic":[65],"forgetting'":[66],"results":[68],"CTR":[71,105,122,139,157,227],"model's":[72],"daily":[73,205],"updating.":[74],"To":[75],"this":[76],"end,":[77],"we":[78],"propose":[79],"a":[80,120,138,230],"novel":[81],"tri-level":[82,231],"asynchronous":[83],"framework,":[84],"i.e.,":[85],"Efficient":[86],"Transfer":[87],"Learning":[88],"Framework":[89],"for":[90,191],"Cross-Domain":[91],"Click-Through":[92],"Rate":[93],"Prediction":[94],"(E-CDCTR),":[95],"transfer":[97,233],"comprehensive":[98],"models.":[106,228],"This":[107],"framework":[108,235],"consists":[109],"three":[111],"key":[112],"components:":[113],"Tiny":[114],"Pre-training":[115,133],"Model":[116,134],"((TPM),":[117],"trains":[119,137],"tiny":[121],"model":[123,140,158,212],"with":[124,168],"several":[125],"basic":[126],"features":[127,146],"on":[128,152,180],"long-term":[129],"data;":[131,155],"Complete":[132],"(CPM),":[135],"holding":[141],"network":[142],"structure":[143],"input":[145],"same":[148],"as":[149,174],"target":[150],"short-term":[153],"Advertisement":[156],"(A-CTR),":[159],"derives":[161],"its":[162],"parameter":[163],"initialization":[164],"CPM":[166,194,207],"together":[167],"multiple":[169],"historical":[170],"embeddings":[171],"TPM":[173,183],"extra":[175],"feature":[176],"then":[178],"fine-tunes":[179],"data.":[182],"provides":[184],"representations":[186],"user":[188],"item":[190],"both":[192,242],"A-CTR,":[196],"effectively":[197],"alleviating":[198,218],"forgetting":[200],"inherent":[202],"updates.":[206],"further":[208],"enhances":[209],"by":[213,225],"providing":[214],"knowledgeable":[215],"initialization,":[216],"thereby":[217],"sparsity":[221,244],"typically":[223],"encountered":[224],"Such":[229],"cross-domain":[232],"learning":[234],"offers":[236],"an":[237],"efficient":[238],"solution":[239],"address":[241],"`catastrophic":[246],"forgetting',":[247],"yielding":[248],"remarkable":[249],"improvements.":[250]},"counts_by_year":[],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}