{"id":"https://openalex.org/W4401857668","doi":"https://doi.org/10.1145/3637528.3671528","title":"Know in <i>AdVance:</i> Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest","display_name":"Know in <i>AdVance:</i> Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401857668","doi":"https://doi.org/10.1145/3637528.3671528"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671528","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-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/A5100357631","display_name":"Xiaoyu Wang","orcid":"https://orcid.org/0000-0003-0161-3119"},"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":true,"raw_author_name":"Xiaoyu Wang","raw_affiliation_strings":["University of Science and Technology of China &amp; National Institute of Informatics, Hefei, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China &amp; National Institute of Informatics, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058507941","display_name":"Yonghui Guo","orcid":"https://orcid.org/0009-0004-8594-2300"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yonghui Guo","raw_affiliation_strings":["Tencent Advertising, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tencent Advertising, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110740151","display_name":"H.-D. Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Sheng","raw_affiliation_strings":["Tencent Advertising, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tencent Advertising, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081079847","display_name":"Peili Lv","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peili Lv","raw_affiliation_strings":["Tencent Advertising, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tencent Advertising, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100515097","display_name":"Chi Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chi Zhou","raw_affiliation_strings":["Tencent Advertising, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tencent Advertising, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113868566","display_name":"Wei Po Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["Tencent Advertising, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tencent Advertising, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098724180","display_name":"Shiqin Ta","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiqin Ta","raw_affiliation_strings":["Tencent Advertising, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tencent Advertising, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037220641","display_name":"Dongbo Huang","orcid":"https://orcid.org/0000-0003-3515-7481"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongbo Huang","raw_affiliation_strings":["Tencent Advertising, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tencent Advertising, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104309362","display_name":"Xiujin Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiujin Yang","raw_affiliation_strings":["Tencent Advertising, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tencent Advertising, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101467168","display_name":"Lan Xu","orcid":"https://orcid.org/0000-0003-0743-1965"},"institutions":[{"id":"https://openalex.org/I2250653659","display_name":"Tencent (China)","ror":"https://ror.org/00hhjss72","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250653659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lan Xu","raw_affiliation_strings":["Tencent Advertising, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tencent Advertising, Shanghai, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068533528","display_name":"Hao Zhou","orcid":"https://orcid.org/0000-0002-7545-6745"},"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":"Hao Zhou","raw_affiliation_strings":["LINKE Lab, School of Computer Science and Technology, University of Science and Technology of China &amp; CAS Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"LINKE Lab, School of Computer Science and Technology, University of Science and Technology of China &amp; CAS Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037098061","display_name":"Yusheng Ji","orcid":null},"institutions":[{"id":"https://openalex.org/I184597095","display_name":"National Institute of Informatics","ror":"https://ror.org/04ksd4g47","country_code":"JP","type":"facility","lineage":["https://openalex.org/I1319490839","https://openalex.org/I184597095","https://openalex.org/I4210158934"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yusheng Ji","raw_affiliation_strings":["Information Systems Architecture Science Research Division, National Institute of Informatics, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Information Systems Architecture Science Research Division, National Institute of Informatics, Tokyo, Japan","institution_ids":["https://openalex.org/I184597095"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5100357631"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18978698,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5926","last_page":"5937"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9976999759674072,"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":0.9976999759674072,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9959999918937683,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9955999851226807,"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/computer-science","display_name":"Computer science","score":0.6633003354072571},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35099732875823975},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33095794916152954}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6633003354072571},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35099732875823975},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33095794916152954}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637528.3671528","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1566647102","https://openalex.org/W2042281163","https://openalex.org/W2076618162","https://openalex.org/W2090883204","https://openalex.org/W2122596677","https://openalex.org/W2126960007","https://openalex.org/W2135849400","https://openalex.org/W2295598076","https://openalex.org/W2295739661","https://openalex.org/W2475334473","https://openalex.org/W2513944453","https://openalex.org/W2548570154","https://openalex.org/W2723293840","https://openalex.org/W2789172526","https://openalex.org/W2808766921","https://openalex.org/W2809290718","https://openalex.org/W2952551358","https://openalex.org/W2962745591","https://openalex.org/W2962989965","https://openalex.org/W2963703197","https://openalex.org/W2963925437","https://openalex.org/W2964182926","https://openalex.org/W2996931760","https://openalex.org/W3032044946","https://openalex.org/W3093519337","https://openalex.org/W3105595718","https://openalex.org/W3203132131","https://openalex.org/W3209519005","https://openalex.org/W4213365329","https://openalex.org/W4225323055","https://openalex.org/W4281758439","https://openalex.org/W4312820606","https://openalex.org/W4312933868","https://openalex.org/W4387561071","https://openalex.org/W4387848703"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Real-time":[0],"Bidding":[1],"(RTB)":[2],"advertisers":[3],"wish":[4],"to":[5,17,115,125,148],"know":[6],"in":[7,218],"advance":[8],"the":[9,92,96,116,158,170,175,185,206],"expected":[10],"cost":[11],"and":[12,45,50,64,70,81,174,192,210],"yield":[13],"of":[14,32,34,39,78,85,98,187],"ad":[15,35],"campaigns":[16],"avoid":[18],"trial-and-error":[19],"expenses.":[20],"However,":[21],"Campaign":[22],"Performance":[23],"Forecasting":[24],"(CPF),":[25],"a":[26,57,75,82,111,122,142,214],"sequence":[27,77],"modeling":[28],"task":[29],"involving":[30],"tens":[31],"thousands":[33],"auctions,":[36,163],"poses":[37],"challenges":[38],"evolving":[40],"user":[41,99],"interest,":[42],"auction":[43,128,172],"representation,":[44],"long":[46],"context,":[47],"making":[48],"coarse-grained":[49],"static-modeling":[51],"methods":[52],"sub-optimal.":[53],"We":[54,178],"propose":[55],"AdVance,":[56],"time-aware":[58],"framework":[59],"that":[60],"integrates":[61],"local":[62,188],"auction-level":[63],"global":[65,154,182],"campaign-level":[66],"modeling.":[67],"User":[68,222],"preference":[69],"fatigue":[71,93],"are":[72,138],"disentangled":[73],"using":[74],"time-positioned":[76],"clicked":[79],"items":[80],"concise":[83],"vector":[84],"all":[86],"displayed":[87],"items.":[88],"Cross-attention,":[89],"conditioned":[90],"on":[91,169,184,205],"vector,":[94],"captures":[95],"dynamics":[97],"interest":[100],"toward":[101],"each":[102,108,127],"candidate":[103],"ad.":[104],"Bidders":[105],"compete":[106],"with":[107],"other,":[109],"presenting":[110],"complete":[112],"graph":[113],"similar":[114],"self-attention":[117],"mechanism.":[118],"Hence,":[119],"we":[120,164],"employ":[121],"Transformer":[123],"Encoder":[124],"compress":[126],"into":[129],"embedding":[130,173],"by":[131,141],"solving":[132],"auxiliary":[133],"tasks.":[134],"These":[135],"sequential":[136],"embeddings":[137],"then":[139],"summarized":[140],"conditional":[143],"state":[144],"space":[145],"model":[146],"(SSM)":[147],"comprehend":[149],"long-range":[150],"dependencies":[151],"while":[152],"maintaining":[153],"linear":[155],"complexity.":[156],"Considering":[157],"irregular":[159],"time":[160,176],"intervals":[161],"between":[162],"make":[165],"SSM's":[166,181],"parameters":[167],"dependent":[168],"current":[171],"interval.":[177],"further":[179],"condition":[180],"predictions":[183],"accumulation":[186],"results.":[189],"Extensive":[190],"evaluations":[191],"ablation":[193],"studies":[194],"demonstrate":[195],"its":[196],"superiority":[197],"over":[198],"state-of-the-art":[199],"methods.":[200],"AdVance":[201],"has":[202],"been":[203],"deployed":[204],"Tencent":[207],"Advertising":[208],"platform,":[209],"A/B":[211],"tests":[212],"show":[213],"remarkable":[215],"4.5%":[216],"uplift":[217],"Average":[219],"Revenue":[220],"per":[221],"(ARPU).":[223]},"counts_by_year":[],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}