{"id":"https://openalex.org/W7137868436","doi":"https://doi.org/10.1609/aaai.v40i17.38483","title":"Delayed Feedback Modeling with Influence Functions","display_name":"Delayed Feedback Modeling with Influence Functions","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7137868436","doi":"https://doi.org/10.1609/aaai.v40i17.38483"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v40i17.38483","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38483","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1609/aaai.v40i17.38483","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129750109","display_name":"Chenlu Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenlu Ding","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129736508","display_name":"Jiancan Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I141962983","display_name":"Shanghai University of Engineering Science","ror":"https://ror.org/0557b9y08","country_code":"CN","type":"education","lineage":["https://openalex.org/I141962983"]},{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]},{"id":"https://openalex.org/I148128674","display_name":"University of Shanghai for Science and Technology","ror":"https://ror.org/00ay9v204","country_code":"CN","type":"education","lineage":["https://openalex.org/I148128674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancan Wu","raw_affiliation_strings":["University of Science and Technology of China\nShanghai Key Laboratory of Data Science"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China\nShanghai Key Laboratory of Data Science","institution_ids":["https://openalex.org/I148128674","https://openalex.org/I143593769","https://openalex.org/I141962983"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004833182","display_name":"Yancheng Yuan","orcid":"https://orcid.org/0000-0002-8243-4683"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yancheng Yuan","raw_affiliation_strings":["The Hong Kong Polytechnic University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125773558","display_name":"Cunchun Li","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunchun Li","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129676983","display_name":"Xiang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Wang","raw_affiliation_strings":["University of Science and Technology of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129711764","display_name":"Dingxian Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135897","display_name":"ResearchWorks (United States)","ror":"https://ror.org/03hbpmj07","country_code":"US","type":"company","lineage":["https://openalex.org/I4210135897"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dingxian Wang","raw_affiliation_strings":["Upwork Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Upwork Inc","institution_ids":["https://openalex.org/I4210135897"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129705901","display_name":"Frank Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135897","display_name":"ResearchWorks (United States)","ror":"https://ror.org/03hbpmj07","country_code":"US","type":"company","lineage":["https://openalex.org/I4210135897"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frank Yang","raw_affiliation_strings":["Upwork Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Upwork Inc","institution_ids":["https://openalex.org/I4210135897"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123934828","display_name":"Andrew Rabinovich","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135897","display_name":"ResearchWorks (United States)","ror":"https://ror.org/03hbpmj07","country_code":"US","type":"company","lineage":["https://openalex.org/I4210135897"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Rabinovich","raw_affiliation_strings":["Upwork Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Upwork Inc","institution_ids":["https://openalex.org/I4210135897"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"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":"40","issue":"17","first_page":"14648","last_page":"14656"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.7408999800682068,"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":0.7408999800682068,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.06030000001192093,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.060100000351667404,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6414999961853027},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6047000288963318},{"id":"https://openalex.org/keywords/noisy-data","display_name":"Noisy data","score":0.33250001072883606},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.328900009393692},{"id":"https://openalex.org/keywords/online-model","display_name":"Online model","score":0.32249999046325684},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.31119999289512634}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7271999716758728},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6414999961853027},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6047000288963318},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.33250001072883606},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.328900009393692},{"id":"https://openalex.org/C2777851325","wikidata":"https://www.wikidata.org/wiki/Q7094102","display_name":"Online model","level":2,"score":0.32249999046325684},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3093000054359436},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.298799991607666},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.2953000068664551},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.29190000891685486},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2903999984264374},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.28630000352859497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27889999747276306},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26190000772476196},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25189998745918274}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v40i17.38483","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38483","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/38483","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/38483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v40i17.38483","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v40i17.38483","pdf_url":null,"source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"online":[1],"advertising":[2],"under":[3],"the":[4,73,92],"cost-per-conversion":[5],"(CPA)":[6],"model,":[7],"accurate":[8],"conversion":[9],"rate":[10],"(CVR)":[11],"prediction":[12],"is":[13,18],"crucial.":[14],"A":[15],"major":[16],"challenge":[17],"delayed":[19,79],"feedback,":[20],"where":[21],"conversions":[22,80],"may":[23],"occur":[24],"long":[25],"after":[26],"user":[27,58],"interactions,":[28],"leading":[29],"to":[30,57],"incomplete":[31],"recent":[32],"data":[33],"and":[34,54,78,106,121],"biased":[35],"model":[36,82],"training.":[37],"Existing":[38],"solutions":[39],"partially":[40],"mitigate":[41],"this":[42],"issue":[43],"but":[44],"often":[45],"rely":[46],"on":[47,81,109],"auxiliary":[48],"models,":[49],"making":[50],"them":[51],"computationally":[52],"inefficient":[53],"less":[55],"adaptive":[56],"interest":[59],"shifts.":[60],"We":[61],"propose":[62],"IF-DFM,":[63],"an":[64,96],"Influence":[65],"Function-empowered":[66],"for":[67],"Delayed":[68],"Feedback":[69],"Modeling":[70],"which":[71],"estimates":[72],"impact":[74],"of":[75],"newly":[76],"arrived":[77],"parameters,":[83],"enabling":[84],"efficient":[85],"updates":[86],"without":[87],"full":[88],"retraining.":[89],"By":[90],"reformulating":[91],"inverse":[93],"Hessian-vector-product":[94],"as":[95],"optimization":[97],"problem,":[98],"IF-DFM":[99,114],"achieves":[100],"a":[101],"favorable":[102],"trade-off":[103],"between":[104],"scalability":[105],"effectiveness.":[107],"Experiments":[108],"benchmark":[110],"datasets":[111],"show":[112],"that":[113],"outperforms":[115],"prior":[116],"methods":[117],"in":[118],"both":[119],"accuracy":[120],"adaptability.":[122]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-03-18T00:00:00"}