{"id":"https://openalex.org/W4414034934","doi":"https://doi.org/10.1145/3705328.3748045","title":"Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction","display_name":"Modeling Long-term User Behaviors with Diffusion-driven Multi-interest Network for CTR Prediction","publication_year":2025,"publication_date":"2025-09-06","ids":{"openalex":"https://openalex.org/W4414034934","doi":"https://doi.org/10.1145/3705328.3748045"},"language":"en","primary_location":{"id":"doi:10.1145/3705328.3748045","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748045","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3705328.3748045","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109773923","display_name":"Weijiang Lai","orcid":"https://orcid.org/0009-0005-3600-9618"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weijiang Lai","raw_affiliation_strings":["Institute of Software,Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Software,Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066621776","display_name":"Beihong Jin","orcid":"https://orcid.org/0000-0003-3683-4034"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beihong Jin","raw_affiliation_strings":["Institute of Software Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014528013","display_name":"Yapeng Zhang","orcid":"https://orcid.org/0000-0003-4207-3374"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yapeng Zhang","raw_affiliation_strings":["Meituan, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077697944","display_name":"Yiyuan Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiyuan Zheng","raw_affiliation_strings":["Institute of Software Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101987524","display_name":"Rui Zhao","orcid":"https://orcid.org/0009-0008-2460-1261"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Zhao","raw_affiliation_strings":["Institute of Software Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Software Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050735875","display_name":"Jian Dong","orcid":"https://orcid.org/0000-0001-8498-9589"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Dong","raw_affiliation_strings":["Meituan, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084801659","display_name":"Jun Lei","orcid":"https://orcid.org/0000-0002-4015-8668"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Lei","raw_affiliation_strings":["Meituan, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035383363","display_name":"Xingxing Wang","orcid":"https://orcid.org/0000-0001-5495-0827"},"institutions":[{"id":"https://openalex.org/I4210087373","display_name":"Meizu (China)","ror":"https://ror.org/0067g4302","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210087373"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingxing Wang","raw_affiliation_strings":["Meituan, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Meituan, Beijing, China","institution_ids":["https://openalex.org/I4210087373"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5109773923"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210128818"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35770258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"289","last_page":"298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9203000068664551,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/term","display_name":"Term (time)","score":0.7356745004653931},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6200093030929565},{"id":"https://openalex.org/keywords/diffusion","display_name":"Diffusion","score":0.6113835573196411}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.7356745004653931},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6200093030929565},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.6113835573196411},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3705328.3748045","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748045","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.15311","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.15311","pdf_url":"https://arxiv.org/pdf/2508.15311","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"doi:10.1145/3705328.3748045","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3705328.3748045","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Nineteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5621106950","display_name":null,"funder_award_id":"6207245","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7726157001","display_name":null,"funder_award_id":"Grant No.","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7727208575","display_name":null,"funder_award_id":"Meituan","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8935142154","display_name":null,"funder_award_id":"62072450","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2076618162","https://openalex.org/W2145349611","https://openalex.org/W2295739661","https://openalex.org/W2475334473","https://openalex.org/W2723293840","https://openalex.org/W2903950532","https://openalex.org/W2942947041","https://openalex.org/W2945772520","https://openalex.org/W2962745591","https://openalex.org/W2964052347","https://openalex.org/W2964182926","https://openalex.org/W2966123616","https://openalex.org/W2977032157","https://openalex.org/W2982902390","https://openalex.org/W2994850640","https://openalex.org/W3032044946","https://openalex.org/W3035635264","https://openalex.org/W3080642298","https://openalex.org/W3093242741","https://openalex.org/W3093519337","https://openalex.org/W3100199015","https://openalex.org/W3105595718","https://openalex.org/W3106252282","https://openalex.org/W3177031501","https://openalex.org/W4226544593","https://openalex.org/W4281264565","https://openalex.org/W4306317673","https://openalex.org/W4306317797","https://openalex.org/W4312293341","https://openalex.org/W4312933868","https://openalex.org/W4384655811","https://openalex.org/W4385562613","https://openalex.org/W4386729443","https://openalex.org/W4387846486","https://openalex.org/W4388221290","https://openalex.org/W4390872583","https://openalex.org/W4393027389","https://openalex.org/W4394717656","https://openalex.org/W4396843858","https://openalex.org/W4401025100","https://openalex.org/W4401857632","https://openalex.org/W4402982463","https://openalex.org/W4403577780","https://openalex.org/W4403577915","https://openalex.org/W4403582819","https://openalex.org/W4409364775"],"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":{"CTR":[0,223],"(Click-Through":[1],"Rate)":[2],"prediction,":[3],"crucial":[4],"for":[5],"recommender":[6],"systems":[7],"and":[8,28,38,68,80,94,130,135,150,157,208,226],"online":[9,231],"advertising,":[10],"etc.,":[11],"has":[12],"been":[13],"confirmed":[14],"to":[15,35,47,63,89,116,133,187],"benefit":[16],"from":[17,44],"modeling":[18,124],"long-term":[19,91],"user":[20,66,75,92,98,131,138,174],"behaviors.":[21],"Nonetheless,":[22],"the":[23,70,97,114,125,162,170,190,216],"vast":[24],"number":[25],"of":[26,30,74,164,173,218],"behaviors":[27,93,132],"complexity":[29],"noise":[31],"interference":[32],"pose":[33],"challenges":[34],"prediction":[36],"efficiency":[37],"effectiveness.":[39],"Recent":[40],"solutions":[41],"have":[42],"evolved":[43],"single-stage":[45],"models":[46,53],"two-stage":[48,52],"models.":[49],"However,":[50],"current":[51],"often":[54],"filter":[55],"out":[56],"significant":[57],"information,":[58],"resulting":[59],"in":[60,230],"an":[61],"inability":[62],"capture":[64],"diverse":[65],"interests":[67,149,166,193],"build":[69],"complete":[71],"latent":[72,171],"space":[73],"interests.":[76,139],"Inspired":[77],"by":[78,111,123,147,224,228],"multi-interest":[79,106],"generative":[81],"modeling,":[82],"we":[83,102,183],"propose":[84,103],"DiffuMIN":[85,221],"(Diffusion-driven":[86],"Multi-Interest":[87],"Network)":[88],"model":[90],"thoroughly":[95],"explore":[96],"interest":[99,118,128,151,159,180],"space.":[100,181],"Specifically,":[101],"a":[104,143],"target-oriented":[105,158],"extraction":[107],"method":[108],"that":[109,167,189,214],"begins":[110],"orthogonally":[112],"decomposing":[113],"target":[115],"obtain":[117],"channels.":[119],"This":[120],"is":[121,237],"followed":[122],"relationships":[126],"between":[127],"channels":[129],"disentangle":[134],"extract":[136],"multiple":[137],"We":[140],"then":[141],"adopt":[142],"diffusion":[144],"module":[145],"guided":[146],"contextual":[148],"channels,":[152],"which":[153],"anchor":[154],"users'":[155,196],"personalized":[156],"types,":[160],"enabling":[161],"generation":[163],"augmented":[165,192],"align":[168,194],"with":[169,195],"spaces":[172],"interests,":[175],"thereby":[176],"further":[177],"exploring":[178],"restricted":[179],"Finally,":[182],"leverage":[184],"contrastive":[185],"learning":[186],"ensure":[188],"generated":[191],"genuine":[197],"preferences.":[198],"Extensive":[199],"offline":[200],"experiments":[201],"are":[202],"conducted":[203],"on":[204],"two":[205],"public":[206],"datasets":[207],"one":[209],"industrial":[210],"dataset,":[211],"yielding":[212],"results":[213],"demonstrate":[215],"superiority":[217],"DiffuMIN.":[219],"Moreover,":[220],"increased":[222],"1.52%":[225],"CPM":[227],"1.10%":[229],"A/B":[232],"testing.":[233],"Our":[234],"source":[235],"code":[236],"available":[238],"at":[239],"https://github.com/laiweijiang/DiffuMIN.":[240]},"counts_by_year":[],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
