{"id":"https://openalex.org/W7132826795","doi":"https://doi.org/10.1145/3799425","title":"Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction","display_name":"Beyond KAN: Introducing KarSein for Adaptive High-Order Feature Interaction Modeling in CTR Prediction","publication_year":2026,"publication_date":"2026-02-28","ids":{"openalex":"https://openalex.org/W7132826795","doi":"https://doi.org/10.1145/3799425"},"language":"en","primary_location":{"id":"doi:10.1145/3799425","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3799425","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127603202","display_name":"Yunxiao Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yunxiao Shi","raw_affiliation_strings":["School of Electrical and Data Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-1516-015X","affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127503212","display_name":"Wujiang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wujiang Xu","raw_affiliation_strings":["Rutgers University, New Brunswick, New Jersey, USA"],"raw_orcid":"https://orcid.org/0000-0002-3500-1068","affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, New Jersey, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127636744","display_name":"Haimin Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Haimin Zhang","raw_affiliation_strings":["School of Electrical and Data Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0021-3634","affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Qiang Wu","orcid":"https://orcid.org/0000-0001-5641-2483"},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Qiang Wu","raw_affiliation_strings":["School of Electrical and Data Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5641-2483","affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5127661740","display_name":"Min Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I114017466","display_name":"University of Technology Sydney","ror":"https://ror.org/03f0f6041","country_code":"AU","type":"education","lineage":["https://openalex.org/I114017466"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Min Xu","raw_affiliation_strings":["School of Electrical and Data Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-9581-8849","affiliations":[{"raw_affiliation_string":"School of Electrical and Data Engineering, Faculty of Engineering and IT, University of Technology Sydney, Sydney, Australia","institution_ids":["https://openalex.org/I114017466"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16492555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"44","issue":"4","first_page":"1","last_page":"27"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.3366999924182892,"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":0.3366999924182892,"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":0.23729999363422394,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.06650000065565109,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/interpretability","display_name":"Interpretability","score":0.864799976348877},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.7050999999046326},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.551800012588501},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.48069998621940613},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.44369998574256897},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4410000145435333},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4207000136375427},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4180000126361847},{"id":"https://openalex.org/keywords/feature-model","display_name":"Feature model","score":0.40389999747276306},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.35280001163482666}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.864799976348877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8242999911308289},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.7050999999046326},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.578499972820282},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.551800012588501},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.48069998621940613},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.44369998574256897},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4410000145435333},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4207000136375427},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4180000126361847},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.40529999136924744},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.40389999747276306},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3808000087738037},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.3452000021934509},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.3391000032424927},{"id":"https://openalex.org/C42747912","wikidata":"https://www.wikidata.org/wiki/Q1048447","display_name":"Multiplicative function","level":2,"score":0.32710000872612},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32690000534057617},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.3253999948501587},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2904999852180481},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.28859999775886536},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27489998936653137},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.27410000562667847},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.26989999413490295},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.263700008392334},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26010000705718994},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.2599000036716461},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2583000063896179},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.2567000091075897},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3799425","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3799425","pdf_url":null,"source":{"id":"https://openalex.org/S4394735545","display_name":"ACM Transactions on Information Systems","issn_l":"1046-8188","issn":["1046-8188","1558-2868"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2153111836","https://openalex.org/W2160821628","https://openalex.org/W2295739661","https://openalex.org/W2512971201","https://openalex.org/W2548570154","https://openalex.org/W2752782242","https://openalex.org/W2788490371","https://openalex.org/W2793768763","https://openalex.org/W2923964967","https://openalex.org/W2946044191","https://openalex.org/W2963323306","https://openalex.org/W2963341956","https://openalex.org/W2964182926","https://openalex.org/W2979450518","https://openalex.org/W2997130580","https://openalex.org/W3088777230","https://openalex.org/W3093476971","https://openalex.org/W3093945404","https://openalex.org/W3130503612","https://openalex.org/W3208709726","https://openalex.org/W4205826145","https://openalex.org/W4224307215","https://openalex.org/W4283731685","https://openalex.org/W4284706321","https://openalex.org/W4312122891","https://openalex.org/W4313828922","https://openalex.org/W4382239960","https://openalex.org/W4384643619","https://openalex.org/W4385270188","https://openalex.org/W4390490824","https://openalex.org/W4396735718","https://openalex.org/W4398186421","https://openalex.org/W4400976979","https://openalex.org/W4403780857","https://openalex.org/W4405185058","https://openalex.org/W4405314691","https://openalex.org/W4406495324","https://openalex.org/W4408220836","https://openalex.org/W4411549758"],"related_works":[],"abstract_inverted_index":{"Modeling":[0],"high-order":[1,62,107],"feature":[2,23,108,115,141,240],"interactions":[3,63,241],"is":[4],"crucial":[5],"for":[6,237],"Click-Through":[7],"Rate":[8],"(CTR)":[9],"prediction,":[10,228],"yet":[11],"traditional":[12],"approaches":[13],"typically":[14],"predefine":[15],"a":[16,48,54,111,126,195,231],"maximum":[17],"interaction":[18,40,116],"order":[19],"and":[20,42,64,200,216,234],"exhaustively":[21],"enumerate":[22],"combinations":[24],"up":[25],"to":[26,37,100,114,152,169,226],"that":[27,130],"order.":[28],"This":[29],"paradigm":[30],"depends":[31],"heavily":[32],"on":[33],"prior":[34],"domain":[35],"knowledge":[36],"delimit":[38],"the":[39,76,87,92,120,146,162,173,207,220],"space":[41],"incurs":[43],"substantial":[44],"computational":[45,133,202],"overhead.":[46,203],"As":[47,219],"result,":[49],"conventional":[50],"CTR":[51,179,227],"models":[52],"face":[53],"persistent":[55],"tension":[56],"between":[57],"enriching":[58],"representations":[59],"with":[60],"complex":[61,239],"keeping":[65],"computation":[66],"tractable.":[67],"To":[68],"address":[69],"this":[70,73,98],"dual":[71],"challenge,":[72],"study":[74],"introduces":[75],"Kolmogorov\u2013Arnold":[77,93],"Represented":[78],"Sparse":[79],"Efficient":[80],"Interaction":[81],"Network":[82,94],"(KarSein).":[83],"Drawing":[84],"inspiration":[85],"from":[86],"learnable":[88],"activation":[89],"mechanism":[90,99],"in":[91,178,242],"(KAN),":[95],"KarSein":[96,118,188,205,229],"leverages":[97],"adaptively":[101],"transform":[102],"low-order":[103],"basic":[104],"features":[105],"into":[106],"interactions,":[109],"offering":[110],"novel":[112],"approach":[113],"modeling.":[117],"extends":[119],"capabilities":[121],"of":[122,148,164,176,210,224],"KAN":[123,177,225],"by":[124],"introducing":[125],"more":[127],"efficient":[128],"architecture":[129],"significantly":[131],"reduces":[132],"costs":[134],"while":[135,193],"accommodating":[136],"2D":[137],"embedding":[138],"vectors":[139],"as":[140,213],"inputs.":[142],"Furthermore,":[143],"it":[144],"overcomes":[145],"limitation":[147],"KAN\u2019s":[149],"its":[150,167],"inability":[151],"spontaneously":[153],"capture":[154],"multiplicative":[155],"relationships":[156],"among":[157],"features.":[158],"Extensive":[159],"experiments":[160],"highlight":[161],"superiority":[163],"KarSein,":[165],"demonstrating":[166],"ability":[168],"surpass":[170],"not":[171],"only":[172],"vanilla":[174],"implementation":[175],"prediction":[180],"tasks":[181],"but":[182],"also":[183],"other":[184],"baseline":[185],"methods.":[186],"Remarkably,":[187],"achieves":[189],"exceptional":[190],"predictive":[191],"accuracy":[192],"maintaining":[194],"highly":[196],"compact":[197],"parameter":[198],"size":[199],"minimal":[201],"Moreover,":[204],"retains":[206],"key":[208],"advantages":[209],"KAN,":[211],"such":[212],"strong":[214],"interpretability":[215],"structural":[217],"sparsity.":[218],"first":[221],"systematic":[222],"adaptation":[223],"offers":[230],"practical,":[232],"parameter-efficient,":[233],"interpretable":[235],"alternative":[236],"modeling":[238],"large-scale":[243],"recommendation":[244],"systems.":[245]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-03-01T00:00:00"}