{"id":"https://openalex.org/W7161552814","doi":"https://doi.org/10.48550/arxiv.2605.15905","title":"Generative Long-term User Interest Modeling for Click-Through Rate Prediction","display_name":"Generative Long-term User Interest Modeling for Click-Through Rate Prediction","publication_year":2026,"publication_date":"2026-05-15","ids":{"openalex":"https://openalex.org/W7161552814","doi":"https://doi.org/10.48550/arxiv.2605.15905"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.15905","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15905","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.15905","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005811535","display_name":"Jiangli Shao","orcid":"https://orcid.org/0000-0002-1552-4769"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shao, Jiangli","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076722170","display_name":"Kaifu Zheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zheng, Kaifu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136438818","display_name":"Hao Fang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang, Hao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136363124","display_name":"Huimu Ye","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ye, Huimu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136446798","display_name":"Zhiwei Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Zhiwei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136387643","display_name":"Bo Zhang","orcid":"https://orcid.org/0000-0002-8119-5000"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Bo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136415603","display_name":"Shu Han","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han, Shu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136375807","display_name":"Xingxing Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xingxing","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.8500000238418579,"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":0.8500000238418579,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.016699999570846558,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.015200000256299973,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.6179999709129333},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.602400004863739},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5425999760627747},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.451200008392334},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4489000141620636},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.38429999351501465},{"id":"https://openalex.org/keywords/simple","display_name":"Simple (philosophy)","score":0.3772999942302704}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7893999814987183},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.6179999709129333},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.602400004863739},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5425999760627747},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48179998993873596},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.451200008392334},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4489000141620636},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43700000643730164},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4163999855518341},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4106000065803528},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.38429999351501465},{"id":"https://openalex.org/C2780586882","wikidata":"https://www.wikidata.org/wiki/Q7520643","display_name":"Simple (philosophy)","level":2,"score":0.3772999942302704},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.36730000376701355},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.35420000553131104},{"id":"https://openalex.org/C19609008","wikidata":"https://www.wikidata.org/wiki/Q2138203","display_name":"Region of interest","level":2,"score":0.3312999904155731},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.2948000133037567},{"id":"https://openalex.org/C500882744","wikidata":"https://www.wikidata.org/wiki/Q269236","display_name":"Latent Dirichlet allocation","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.15905","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15905","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.15905","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.15905","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modeling":[0],"long-term":[1],"user":[2,7,62,100,112,123,162,220],"interests":[3,221],"with":[4],"massive":[5],"historical":[6,89],"behaviors":[8,37,101,183],"enhances":[9],"click-through":[10],"rate":[11],"(CTR)":[12],"prediction":[13],"performance":[14],"in":[15,76],"advertising":[16],"and":[17,42,67,87,144,167,175,222,234],"recommendation":[18],"systems.":[19],"Typically,":[20],"a":[21,28,120,139,185,229],"two-stage":[22],"framework":[23],"is":[24,165],"widely":[25],"adopted,":[26],"where":[27],"general":[29],"search":[30,45],"unit":[31,46],"(GSU)":[32],"first":[33],"retrieves":[34],"top-$k$":[35],"relevant":[36],"towards":[38],"the":[39,72,80,108,190,200,212,217],"target":[40,85],"item,":[41],"an":[43,134,145],"exact":[44],"(ESU)":[47],"generates":[48,152],"interest":[49,69,135,146,154,177,208],"features":[50],"via":[51,184],"tailored":[52],"attention.":[53],"However,":[54],"current":[55],"target-centered":[56],"GSU":[57],"would":[58],"ignore":[59],"other":[60],"latent":[61],"interests,":[63,163],"leading":[64],"to":[65,103,156,197,206],"incomplete":[66],"biased":[68],"features.":[70,178,209],"Additionally,":[71],"matching-based":[73,225],"retrieval":[74,141],"process":[75],"GSUs":[77],"depends":[78],"on":[79,211],"pairwise":[81],"similarity":[82],"score":[83],"between":[84,232],"item":[86],"each":[88,195],"behavior,":[90],"which":[91,164],"not":[92],"only":[93],"becomes":[94],"time-consuming":[95],"for":[96,128,193,236],"online":[97],"services":[98],"as":[99],"continue":[102],"grow,":[104],"but":[105],"also":[106],"overlooks":[107],"interaction":[109,169],"information":[110,170],"among":[111,171],"behaviors.":[113],"To":[114],"combat":[115],"these":[116],"problems,":[117],"we":[118],"propose":[119],"\\textbf{Gen}erative":[121],"\\textbf{L}ong-term":[122],"\\textbf{I}nterest":[124],"model":[125],"named":[126],"GenLI":[127,131,215],"CTR":[129,237],"prediction.":[130,238],"consists":[132],"of":[133,160,219],"generation":[136,213],"module":[137,142,148],"(IGM),":[138],"behavior":[140,196],"(BRM),":[143],"fusion":[147],"(IFM).":[149],"The":[150,179],"IGM":[151],"multiple":[153],"distributions":[155],"indicate":[157],"different":[158],"aspects":[159],"real-time":[161],"target-independent":[166],"incorporates":[168],"behaviors,":[172],"ensuring":[173],"complete":[174],"diverse":[176],"BRM":[180],"selects":[181],"related":[182],"simple":[186],"lookup":[187],"operation,":[188],"reducing":[189],"time":[191],"complexity":[192],"weighting":[194],"$O(1)$.":[198],"Finally,":[199],"IFM":[201],"uses":[202],"delicate":[203],"gating":[204],"mechanisms":[205],"generate":[207],"Based":[210],"process,":[214],"improves":[216],"diversity":[218],"avoids":[223],"complex":[224],"behavioral":[226],"retrieval,":[227],"achieving":[228],"better":[230],"balance":[231],"accuracy":[233],"efficiency":[235]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-19T00:00:00"}