{"id":"https://openalex.org/W4412378073","doi":"https://doi.org/10.1145/3726302.3729887","title":"Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction","display_name":"Adaptive Structure Learning with Partial Parameter Sharing for Post-Click Conversion Rate Prediction","publication_year":2025,"publication_date":"2025-07-13","ids":{"openalex":"https://openalex.org/W4412378073","doi":"https://doi.org/10.1145/3726302.3729887"},"language":"en","primary_location":{"id":"doi:10.1145/3726302.3729887","doi":"https://doi.org/10.1145/3726302.3729887","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729887","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729887","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729887","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083644092","display_name":"Chunyuan Zheng","orcid":"https://orcid.org/0000-0002-0306-7310","observed_orcids":["https://orcid.org/0000-0002-0306-7310"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyuan Zheng","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0306-7310","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027476652","display_name":"Hang Pan","orcid":"https://orcid.org/0000-0001-8020-203X","observed_orcids":["https://orcid.org/0000-0001-8020-203X"]},"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":"Hang Pan","raw_affiliation_strings":["University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-8020-203X","affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664091","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0002-7863-5183","observed_orcids":["https://orcid.org/0000-0002-7863-5183"]},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"raw_orcid":"https://orcid.org/0000-0002-7863-5183","affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064850719","display_name":"Haoxuan Li","orcid":"https://orcid.org/0000-0003-3620-3769","observed_orcids":["https://orcid.org/0000-0003-3620-3769"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haoxuan Li","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3620-3769","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.3099,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.98260599,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"233","last_page":"243"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9911999702453613,"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":0.9911999702453613,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.003100000089034438,"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":0.0008999999845400453,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/selection-bias","display_name":"selection bias","score":0.7210000157356262},{"id":"https://openalex.org/keywords/data-sparsity","display_name":"data sparsity","score":0.8960000276565552},{"id":"https://openalex.org/keywords/doubly-robust-estimation","display_name":"doubly robust estimation","score":0.8500000238418579},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"knowledge transfer","score":0.8840000033378601},{"id":"https://openalex.org/keywords/recommender-systems","display_name":"recommender systems","score":0.5809999704360962}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.752804160118103},{"id":"https://openalex.org/C115174607","wikidata":"https://www.wikidata.org/wiki/Q1100934","display_name":"Click-through rate","level":2,"score":0.6510229706764221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40400561690330505},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32010024785995483},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.1019812822341919}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3726302.3729887","doi":"https://doi.org/10.1145/3726302.3729887","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729887","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729887","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3726302.3729887","doi":"https://doi.org/10.1145/3726302.3729887","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3726302.3729887","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3726302.3729887","source":{"id":"https://openalex.org/S4363608773","display_name":"International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G2138920778","display_name":null,"funder_award_id":"623B2002","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6749820930","display_name":null,"funder_award_id":"623B2002","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412378073.pdf","grobid_xml":"https://content.openalex.org/works/W4412378073.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W1992665562","https://openalex.org/W2143570267","https://openalex.org/W2150291618","https://openalex.org/W2798435682","https://openalex.org/W2962989965","https://openalex.org/W2984589663","https://openalex.org/W2998103904","https://openalex.org/W2998534896","https://openalex.org/W3012576969","https://openalex.org/W3035404611","https://openalex.org/W3092446983","https://openalex.org/W3101366597","https://openalex.org/W3153906321","https://openalex.org/W3158375352","https://openalex.org/W3199916614","https://openalex.org/W4223591050","https://openalex.org/W4290927708","https://openalex.org/W4292423901","https://openalex.org/W4366460231","https://openalex.org/W4382240101","https://openalex.org/W4387848954","https://openalex.org/W4391549752","https://openalex.org/W4405306095","https://openalex.org/W6600238479","https://openalex.org/W6600529467","https://openalex.org/W6601756569"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0,181],"post-click":[1],"conversion":[2,14],"rate":[3],"(CVR)":[4],"prediction":[5,69,81,132,159],"task":[6],"aims":[7],"to":[8,66,108,127],"predict":[9],"the":[10,48,53,59,80,111,116,131,135,154,158],"probability":[11],"of":[12,118],"a":[13,16,99],"after":[15],"click,":[17],"which":[18,57,124],"is":[19,183],"essential":[20],"in":[21],"many":[22],"fields.":[23],"There":[24],"are":[25,163],"two":[26],"widely-recognized":[27],"challenges":[28],"for":[29,153],"CVR":[30,68],"prediction:":[31],"selection":[32,43],"bias":[33,44],"and":[34,63,83,86,122,134,157],"data":[35],"sparsity.":[36],"Many":[37],"previous":[38],"methods":[39],"focus":[40],"on":[41,52,165],"addressing":[42],"by":[45],"unbiasedly":[46],"estimating":[47],"ideal":[49],"loss":[50],"based":[51],"doubly":[54],"robust":[55],"estimator,":[56],"incorporates":[58],"error":[60],"imputation":[61,84,136,155],"model":[62,65,70,82,85,133,156],"propensity":[64],"help":[67],"learning.":[71],"However,":[72],"they":[73],"struggle":[74],"with":[75,141],"unreasonable":[76],"knowledge":[77,125],"transfer":[78],"between":[79,130],"inflexible":[87],"network":[88,113],"structure":[89,103],"design":[90],"under":[91],"sparse":[92],"data.":[93],"To":[94],"this":[95],"end,":[96],"we":[97,139,147],"introduce":[98],"novel":[100],"principled":[101],"adaptive":[102],"learning":[104],"approach,":[105],"named":[106],"Adap-SL,":[107],"adaptively":[109,148],"learn":[110],"optimal":[112],"structure,":[114],"adjust":[115],"number":[117],"activated":[119],"(non-zero)":[120],"parameters,":[121],"determine":[123],"needs":[126],"be":[128],"transferred":[129],"model.":[137,160],"Specifically,":[138],"start":[140],"an":[142],"over-parameterized":[143],"base":[144],"network,":[145],"where":[146],"extract":[149],"partially":[150],"overlapped":[151],"subnetworks":[152],"Extensive":[161],"experiments":[162],"conducted":[164],"three":[166],"real-world":[167],"recommendation":[168],"datasets,":[169],"demonstrating":[170],"that":[171],"our":[172],"method":[173],"consistently":[174],"improves":[175],"performance":[176],"while":[177],"requiring":[178],"fewer":[179],"parameters.":[180],"code":[182],"available":[184],"at":[185],"https://github.com/ChunyuanZheng/sigir25-sparse-sharing.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":5}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}
