{"id":"https://openalex.org/W7133517033","doi":"https://doi.org/10.48550/arxiv.2603.02999","title":"OneRanker: Unified Generation and Ranking with One Model in Industrial Advertising Recommendation","display_name":"OneRanker: Unified Generation and Ranking with One Model in Industrial Advertising Recommendation","publication_year":2026,"publication_date":"2026-03-03","ids":{"openalex":"https://openalex.org/W7133517033","doi":"https://doi.org/10.48550/arxiv.2603.02999"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.02999","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"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":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128070450","display_name":"Dekai Sun","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sun, Dekai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128060978","display_name":"Yiming Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yiming","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123641138","display_name":"Jiafan Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Jiafan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128119540","display_name":"Xun Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Xun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128043659","display_name":"Chenchen Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Chenchen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128094318","display_name":"Yi Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Yi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zhang, Jun","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Jun","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Yu, Huan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Huan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128975237","display_name":"Jie Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Jie","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5128070450"],"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":0.7915999889373779,"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":0.7915999889373779,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.02539999969303608,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.021400000900030136,"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/consistency","display_name":"Consistency (knowledge bases)","score":0.5949000120162964},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5509999990463257},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4778999984264374},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.46149998903274536},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.44620001316070557},{"id":"https://openalex.org/keywords/bespoke","display_name":"Bespoke","score":0.38589999079704285},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.3644999861717224},{"id":"https://openalex.org/keywords/security-token","display_name":"Security token","score":0.36320000886917114},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.34769999980926514}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.766700029373169},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5949000120162964},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5509999990463257},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4778999984264374},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.46149998903274536},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.44620001316070557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4016999900341034},{"id":"https://openalex.org/C44210515","wikidata":"https://www.wikidata.org/wiki/Q16968978","display_name":"Bespoke","level":2,"score":0.38589999079704285},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3644999861717224},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.36320000886917114},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.34769999980926514},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3398999869823456},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.33160001039505005},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3181999921798706},{"id":"https://openalex.org/C2780371621","wikidata":"https://www.wikidata.org/wiki/Q3709910","display_name":"Disconnection","level":2,"score":0.31630000472068787},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C45493050","wikidata":"https://www.wikidata.org/wiki/Q7884934","display_name":"Unified Model","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C2779545769","wikidata":"https://www.wikidata.org/wiki/Q5135364","display_name":"Closeness","level":2,"score":0.2939000129699707},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.2766000032424927},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2662999927997589},{"id":"https://openalex.org/C2778496695","wikidata":"https://www.wikidata.org/wiki/Q254128","display_name":"Dilemma","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C2777655017","wikidata":"https://www.wikidata.org/wiki/Q1501161","display_name":"Toolbox","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.262800008058548},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.2612000107765198},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2565999925136566},{"id":"https://openalex.org/C108650721","wikidata":"https://www.wikidata.org/wiki/Q1783253","display_name":"Counterfactual thinking","level":2,"score":0.2549999952316284}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.02999","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"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":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.02999","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.02999","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:doi:10.48550/arxiv.2603.02999","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"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":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.45399317145347595,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,169],"end-to-end":[1,162],"generative":[2,38,199],"paradigm":[3,194],"is":[4],"revolutionizing":[5],"advertising":[6,176,200],"recommendation":[7],"systems,":[8],"driving":[9],"a":[10,53,85,116,132,180,192],"shift":[11],"from":[12],"traditional":[13],"cascaded":[14],"architectures":[15],"towards":[16],"unified":[17],"modeling.":[18],"However,":[19],"practical":[20],"deployment":[21,171],"faces":[22],"three":[23],"core":[24],"challenges:":[25],"the":[26,34,41,140],"misalignment":[27],"between":[28,43,165],"interest":[29,100],"objectives":[30],"and":[31,40,45,80,95,102,131,154,167],"business":[32,185],"value,":[33],"target-agnostic":[35],"limitation":[36],"of":[37,78],"processes,":[39],"disconnection":[42],"generation":[44,79,130,166],"ranking":[46,133],"stages.":[47],"Existing":[48],"solutions":[49],"often":[50],"fall":[51],"into":[52],"dilemma":[54],"where":[55],"single-stage":[56],"fusion":[57],"induces":[58],"optimization":[59,104,164],"tension,":[60],"while":[61],"stage":[62],"decoupling":[63,88],"causes":[64],"irreversible":[65],"information":[66],"loss.":[67],"To":[68],"address":[69],"this,":[70],"we":[71,83,98,114,144,160],"propose":[72,145],"OneRanker,":[73],"achieving":[74],"architectural-level":[75],"deep":[76],"integration":[77],"ranking.":[81,168],"First,":[82],"design":[84],"value-aware":[86],"multi-task":[87],"architecture.":[89],"By":[90],"leveraging":[91],"task":[92],"token":[93],"sequences":[94],"causal":[96],"mask,":[97],"separate":[99],"coverage":[101],"value":[103,137],"spaces":[105],"within":[106],"shared":[107],"representations,":[108],"effectively":[109],"alleviating":[110],"target":[111,119],"conflicts.":[112],"Second,":[113],"construct":[115],"coarse-to-fine":[117],"collaborative":[118,163],"awareness":[120,128],"mechanism,":[121],"utilizing":[122],"Fake":[123],"Item":[124],"Tokens":[125],"for":[126,135,198],"implicit":[127],"during":[129],"decoder":[134],"explicit":[136],"alignment":[138],"at":[139],"candidate":[141],"level.":[142],"Finally,":[143],"input-output":[146],"dual-side":[147],"consistency":[148],"guarantees.":[149],"Through":[150],"Key/Value":[151],"pass-through":[152],"mechanisms":[153],"Distribution":[155],"Consistency":[156],"(DC)":[157],"Constraint":[158],"Loss,":[159],"achieve":[161],"full":[170],"on":[172],"Tencent's":[173],"WeiXin":[174],"channels":[175],"system":[177],"has":[178],"shown":[179],"significant":[181],"improvement":[182],"in":[183],"key":[184],"metrics":[186],"(GMV":[187],"-":[188],"Normal":[189],"+1.34\\%),":[190],"providing":[191],"new":[193],"with":[195],"industrial":[196],"feasibility":[197],"recommendations.":[201]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-03-05T00:00:00"}
