{"id":"https://openalex.org/W4412877156","doi":"https://doi.org/10.1145/3711896.3737261","title":"Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction","display_name":"Retrieval Augmented Cross-Domain LifeLong Behavior Modeling for Enhancing Click-through Rate Prediction","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412877156","doi":"https://doi.org/10.1145/3711896.3737261"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3737261","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737261","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737261","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737261","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5071989106","display_name":"Xing Tang","orcid":"https://orcid.org/0000-0003-4360-0754"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Tang","raw_affiliation_strings":["Shenzhen Technology University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-4360-0754","affiliations":[{"raw_affiliation_string":"Shenzhen Technology University, Shenzhen, China","institution_ids":["https://openalex.org/I4210152380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071694037","display_name":"Chaohua Yang","orcid":"https://orcid.org/0009-0006-8555-2841"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaohua Yang","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0006-8555-2841","affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109678238","display_name":"Yuwen Fu","orcid":"https://orcid.org/0009-0006-9890-7584"},"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":"Yuwen Fu","raw_affiliation_strings":["FiT, Tencent, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0006-9890-7584","affiliations":[{"raw_affiliation_string":"FiT, Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020223046","display_name":"Dongyang Ao","orcid":"https://orcid.org/0000-0002-4735-1487"},"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":"Dongyang Ao","raw_affiliation_strings":["FiT, Tencent, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4735-1487","affiliations":[{"raw_affiliation_string":"FiT, Tencent, Shenzhen, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100639499","display_name":"Shiwei Li","orcid":"https://orcid.org/0000-0002-7067-0275"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiwei Li","raw_affiliation_strings":["Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-7067-0275","affiliations":[{"raw_affiliation_string":"Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079054140","display_name":"Fuyuan Lyu","orcid":"https://orcid.org/0000-0001-9345-1828"},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fuyuan Lyu","raw_affiliation_strings":["McGill University, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9345-1828","affiliations":[{"raw_affiliation_string":"McGill University, Montreal, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003106644","display_name":"Dugang Liu","orcid":"https://orcid.org/0000-0003-3612-709X"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dugang Liu","raw_affiliation_strings":["Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3612-709X","affiliations":[{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083350101","display_name":"Xiuqiang He","orcid":"https://orcid.org/0000-0002-4115-8205"},"institutions":[{"id":"https://openalex.org/I4210152380","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210152380"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuqiang He","raw_affiliation_strings":["Shenzhen Technology University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4115-8205","affiliations":[{"raw_affiliation_string":"Shenzhen Technology University, Shenzhen, China","institution_ids":["https://openalex.org/I4210152380"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.26137697,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4891","last_page":"4900"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9952999949455261,"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":0.9952999949455261,"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/T12238","display_name":"Green IT and Sustainability","score":0.9785000085830688,"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"}},{"id":"https://openalex.org/T11122","display_name":"Online Learning and Analytics","score":0.9340000152587891,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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":0.7376888394355774},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6372054219245911},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36223238706588745},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.334234356880188},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.05701729655265808}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7376888394355774},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6372054219245911},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36223238706588745},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.334234356880188},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.05701729655265808},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3737261","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737261","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737261","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3737261","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3737261","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3737261","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320319297","display_name":"Shenzhen Technology University","ror":"https://ror.org/04qzpec27"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412877156.pdf","grobid_xml":"https://content.openalex.org/works/W4412877156.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1985759455","https://openalex.org/W2090883204","https://openalex.org/W2295739661","https://openalex.org/W2475334473","https://openalex.org/W2604662567","https://openalex.org/W2604738573","https://openalex.org/W2723293840","https://openalex.org/W2796608345","https://openalex.org/W2942947041","https://openalex.org/W2945772520","https://openalex.org/W2962745591","https://openalex.org/W3032044946","https://openalex.org/W3093519337","https://openalex.org/W3094280243","https://openalex.org/W3098400049","https://openalex.org/W3100199015","https://openalex.org/W3105595718","https://openalex.org/W3106252282","https://openalex.org/W3168607063","https://openalex.org/W3188301284","https://openalex.org/W3198659451","https://openalex.org/W4306317673","https://openalex.org/W4306317751","https://openalex.org/W4313828922","https://openalex.org/W4367309909","https://openalex.org/W4382239994","https://openalex.org/W4385562613","https://openalex.org/W4388532091","https://openalex.org/W4391376193","https://openalex.org/W4392368241","https://openalex.org/W4396757491","https://openalex.org/W4396844128","https://openalex.org/W4400531810","https://openalex.org/W4401857375","https://openalex.org/W4401864059","https://openalex.org/W4403577780"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Lifelong":[0],"behavior":[1,30,52],"modeling":[2,31],"for":[3,131],"single-domain":[4],"has":[5],"been":[6],"widely":[7],"investigated":[8],"in":[9,24,49,58,74,115,159,194,222],"industry":[10],"click-through":[11],"(CTR)":[12],"prediction.":[13,135],"However,":[14],"some":[15],"domains":[16,148,171],"do":[17],"not":[18],"always":[19],"have":[20,173],"rich":[21],"historical":[22],"behaviors":[23,101,106,114,122],"online":[25,227],"platforms,":[26],"so":[27],"cross-domain":[28,42,50,61,64,79,140,180],"lifelong":[29,41,51],"is":[32],"overlooked.":[33],"This":[34,163],"paper":[35],"proposes":[36],"a":[37,78,83,89,151,204],"novel":[38],"retrieval":[39,62,80,84,120],"augmented":[40,85,121],"net":[43],"(RAL-CDNet)":[44],"to":[45,93,143,167,177,189,216],"address":[46],"the":[47,70,75,95,104,108,116,139,145,160,165,179,183,191,195,212,218],"challenges":[48],"modeling.":[53],"There":[54],"are":[55],"three":[56],"components":[57],"RAL-CDNet,":[59],"i.e.,":[60],"unit,":[63,66],"alignment":[65,141],"and":[67,102,126,155,172,207,226],"cross-net.":[68],"As":[69],"general":[71],"search":[72],"unit":[73,81,142],"previous":[76],"study,":[77],"features":[82],"paradigm":[86],"that":[87],"utilizes":[88,185],"pre-trained":[90],"language":[91],"model":[92],"learn":[94],"intrinsic":[96],"textual":[97],"information":[98,176],"of":[99,220,224],"user":[100],"generates":[103],"sequential":[105,113],"from":[107,211],"source":[109,161,175],"domain":[110,133],"based":[111],"on":[112,202],"target":[117,132,196],"domain.":[118,162,197],"The":[119],"can":[123],"achieve":[124],"consistency":[125],"capture":[127,178],"accurate":[128],"hidden":[129],"interest":[130],"CTR":[134],"Furthermore,":[136],"we":[137],"propose":[138],"align":[144],"embeddings":[146,166],"across":[147,170],"by":[149],"adding":[150],"semantic-guided":[152],"contrastive":[153],"loss":[154,158],"auxiliary":[156],"task":[157],"allows":[164],"be":[168],"consistent":[169],"enough":[174],"relation.":[181],"Finally,":[182],"cross-net":[184],"two-level":[186],"attention":[187],"techniques":[188],"enhance":[190],"final":[192],"prediction":[193],"We":[198],"conduct":[199],"extensive":[200],"experiments":[201],"both":[203],"public":[205],"dataset":[206,210],"an":[208],"industrial":[209],"WeChat":[213],"advertising":[214],"platform":[215],"demonstrate":[217],"effectiveness":[219],"RAL-CDNet":[221],"terms":[223],"offline":[225],"metrics.":[228]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}