{"id":"https://openalex.org/W7126062647","doi":"https://doi.org/10.1145/3788094","title":"Guiding the Recommender: Information-Aware Auto-Bidding for Content Promotion","display_name":"Guiding the Recommender: Information-Aware Auto-Bidding for Content Promotion","publication_year":2026,"publication_date":"2026-03-26","ids":{"openalex":"https://openalex.org/W7126062647","doi":"https://doi.org/10.1145/3788094"},"language":"en","primary_location":{"id":"doi:10.1145/3788094","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788094","pdf_url":null,"source":{"id":"https://openalex.org/S4210193547","display_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","issn_l":"2476-1249","issn":["2476-1249"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"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 ACM on Measurement and Analysis of Computing Systems","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3788094","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Yumou Liu","orcid":"https://orcid.org/0009-0003-0136-9248"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yumou Liu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0003-0136-9248","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124295875","display_name":"Zhenzhe Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhe Zheng","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5094-5331","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiang Rong","orcid":"https://orcid.org/0009-0005-4210-8153"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang Rong","raw_affiliation_strings":["Xiaohongshu, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-4210-8153","affiliations":[{"raw_affiliation_string":"Xiaohongshu, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108742278","display_name":"Yao Hu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yao Hu","raw_affiliation_strings":["Xiaohongshu, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0006-1274-7111","affiliations":[{"raw_affiliation_string":"Xiaohongshu, Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124181859","display_name":"Fan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-0965-9058","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123023670","display_name":"Guihai Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guihai Chen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6934-1685","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":0.07278444,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"1","first_page":"1","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.2329999953508377,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.2329999953508377,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.210999995470047,"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"}},{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.058800000697374344,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/counterintuitive","display_name":"Counterintuitive","score":0.6474000215530396},{"id":"https://openalex.org/keywords/promotion","display_name":"Promotion (chess)","score":0.5906999707221985},{"id":"https://openalex.org/keywords/regret","display_name":"Regret","score":0.5582000017166138},{"id":"https://openalex.org/keywords/budget-constraint","display_name":"Budget constraint","score":0.5156999826431274},{"id":"https://openalex.org/keywords/forcing","display_name":"Forcing (mathematics)","score":0.4077000021934509},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.3978999853134155},{"id":"https://openalex.org/keywords/sublinear-function","display_name":"Sublinear function","score":0.37450000643730164},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.3621000051498413},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.3528999984264374}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6662999987602234},{"id":"https://openalex.org/C101097943","wikidata":"https://www.wikidata.org/wiki/Q5176983","display_name":"Counterintuitive","level":2,"score":0.6474000215530396},{"id":"https://openalex.org/C98147612","wikidata":"https://www.wikidata.org/wiki/Q215599","display_name":"Promotion (chess)","level":3,"score":0.5906999707221985},{"id":"https://openalex.org/C50817715","wikidata":"https://www.wikidata.org/wiki/Q79895177","display_name":"Regret","level":2,"score":0.5582000017166138},{"id":"https://openalex.org/C8505890","wikidata":"https://www.wikidata.org/wiki/Q605095","display_name":"Budget constraint","level":2,"score":0.5156999826431274},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.41620001196861267},{"id":"https://openalex.org/C197115733","wikidata":"https://www.wikidata.org/wiki/Q1003136","display_name":"Forcing (mathematics)","level":2,"score":0.4077000021934509},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3978999853134155},{"id":"https://openalex.org/C117160843","wikidata":"https://www.wikidata.org/wiki/Q338652","display_name":"Sublinear function","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.3621000051498413},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.3547999858856201},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3528999984264374},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.32659998536109924},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3260999917984009},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.32339999079704285},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.32179999351501465},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.30869999527931213},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.29840001463890076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29580000042915344},{"id":"https://openalex.org/C166052673","wikidata":"https://www.wikidata.org/wiki/Q83021","display_name":"Empirical evidence","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C2777363581","wikidata":"https://www.wikidata.org/wiki/Q15098235","display_name":"Harm","level":2,"score":0.28929999470710754},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C178621042","wikidata":"https://www.wikidata.org/wiki/Q7631710","display_name":"Submodular set function","level":2,"score":0.27160000801086426},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C207390915","wikidata":"https://www.wikidata.org/wiki/Q1230525","display_name":"Divergence (linguistics)","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C182964748","wikidata":"https://www.wikidata.org/wiki/Q208216","display_name":"Triangle inequality","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3788094","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788094","pdf_url":null,"source":{"id":"https://openalex.org/S4210193547","display_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","issn_l":"2476-1249","issn":["2476-1249"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"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 ACM on Measurement and Analysis of Computing Systems","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2601.20422","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2601.20422","pdf_url":"https://arxiv.org/pdf/2601.20422","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:doi:10.48550/arxiv.2601.20422","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1145/3788094","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3788094","pdf_url":null,"source":{"id":"https://openalex.org/S4210193547","display_name":"Proceedings of the ACM on Measurement and Analysis of Computing Systems","issn_l":"2476-1249","issn":["2476-1249"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"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 ACM on Measurement and Analysis of Computing Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modern":[0],"content":[1,35,51,74],"platforms":[2],"offer":[3],"paid":[4],"promotion":[5,26,52,207],"to":[6,39,89,190],"mitigate":[7],"cold":[8],"start":[9],"by":[10,36],"allocating":[11],"exposure":[12,38],"via":[13],"auctions.":[14],"Our":[15],"empirical":[16],"analysis":[17],"reveals":[18],"a":[19,54,78,98,111,131,137],"counterintuitive":[20],"flaw":[21],"in":[22,73,148,164],"this":[23,68],"paradigm:":[24],"while":[25],"rescues":[27],"low-to-medium":[28],"quality":[29],"content,":[30],"it":[31,181],"can":[32,208],"harm":[33],"high-quality":[34],"forcing":[37],"suboptimal":[40],"audiences,":[41],"polluting":[42],"engagement":[43],"signals":[44,147],"and":[45,84,92,114,167,175,193,213],"downgrading":[46],"future":[47],"recommendation.":[48],"We":[49,96,151],"recast":[50],"as":[53],"dual-objective":[55],"optimization":[56],"that":[57,106,143,204],"balances":[58],"short-term":[59],"value":[60],"acquisition":[61],"with":[62,136],"long-term":[63,210],"model":[64,211],"improvement.":[65],"To":[66,122],"make":[67],"tractable":[69],"at":[70,126],"bid":[71,127],"time":[72],"promotion,":[75],"we":[76,129],"introduce":[77],"decomposable":[79],"surrogate":[80],"objective,":[81,161],"gradient":[82,133],"coverage,":[83],"establish":[85],"its":[86],"formal":[87],"connection":[88],"Fisher":[90],"Information":[91],"optimal":[93],"experimental":[94],"design.":[95],"design":[97],"two-stage":[99],"auto-bidding":[100],"algorithm":[101],"based":[102],"on":[103,173],"Lagrange":[104],"duality":[105],"dynamically":[107],"paces":[108],"budget":[109,168,191],"through":[110],"shadow":[112],"price":[113],"optimizes":[115],"impression-level":[116],"bids":[117],"using":[118],"per-impression":[119],"marginal":[120],"utilities.":[121],"address":[123],"missing":[124],"labels":[125],"time,":[128],"propose":[130],"confidence-gated":[132],"heuristic,":[134],"paired":[135],"zeroth-order":[138],"variant":[139],"for":[140],"black-box":[141],"models":[142],"reliably":[144],"estimates":[145],"learning":[146],"real":[149],"time.":[150],"provide":[152],"theoretical":[153],"guarantees,":[154],"proving":[155],"monotone":[156],"submodularity":[157],"of":[158],"the":[159,179],"composite":[160],"sublinear":[162],"regret":[163],"online":[165],"auction,":[166],"feasibility.":[169],"Extensive":[170],"offline":[171],"experiments":[172],"synthetic":[174],"real-world":[176],"datasets":[177],"validate":[178],"framework:":[180],"outperforms":[182],"baselines,":[183],"achieves":[184],"superior":[185],"final":[186],"AUC/LogLoss,":[187],"adheres":[188],"closely":[189],"targets,":[192],"remains":[194],"effective":[195],"when":[196],"gradients":[197],"are":[198],"approximated":[199],"zeroth-order.":[200],"These":[201],"results":[202],"show":[203],"strategic,":[205],"information-aware":[206],"improve":[209],"performance":[212],"organic":[214],"outcomes":[215],"beyond":[216],"naive":[217],"impression-maximization":[218],"strategies.":[219]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-01-30T00:00:00"}
