{"id":"https://openalex.org/W2063275071","doi":"https://doi.org/10.1145/2396761.2398508","title":"Web-scale multi-task feature selection for behavioral targeting","display_name":"Web-scale multi-task feature selection for behavioral targeting","publication_year":2012,"publication_date":"2012-10-29","ids":{"openalex":"https://openalex.org/W2063275071","doi":"https://doi.org/10.1145/2396761.2398508","mag":"2063275071"},"language":"en","primary_location":{"id":"doi:10.1145/2396761.2398508","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","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/A5009154893","display_name":"Amr Ahmed","orcid":"https://orcid.org/0000-0002-7749-7911"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amr Ahmed","raw_affiliation_strings":["Google Research, Mountain View, CA, USA","Google Research, Mountain View, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Google Research, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, Mountain View, CA, USA#TAB#","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103238939","display_name":"Mohamed Aly","orcid":"https://orcid.org/0000-0002-5828-9148"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed Aly","raw_affiliation_strings":["Yahoo! Research, Santa Clara, CA, USA","Yahoo! Research, Santa Clara , CA, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"Yahoo! Research, Santa Clara , CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101056045","display_name":"Abhimanyu Das","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abhimanyu Das","raw_affiliation_strings":["Yahoo! Research, Santa Clara, CA, USA","Yahoo! Research, Santa Clara , CA, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"Yahoo! Research, Santa Clara , CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000245150","display_name":"Alexander J. Smola","orcid":"https://orcid.org/0000-0002-7963-4721"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander J. Smola","raw_affiliation_strings":["Google Research, Mountain View, CA, USA","Google Research, Mountain View, CA, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Google Research, Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]},{"raw_affiliation_string":"Google Research, Mountain View, CA, USA#TAB#","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048981110","display_name":"Tasos Anastasakos","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tasos Anastasakos","raw_affiliation_strings":["Yahoo! Research, Santa Clara, CA, USA","Yahoo! Research, Santa Clara , CA, USA"],"affiliations":[{"raw_affiliation_string":"Yahoo! Research, Santa Clara, CA, USA","institution_ids":["https://openalex.org/I4210134091"]},{"raw_affiliation_string":"Yahoo! Research, Santa Clara , CA, USA","institution_ids":["https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5009154893"],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":1.0286,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.76457047,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1737","last_page":"1741"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9966999888420105,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9965000152587891,"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/T12288","display_name":"Optimization and Search Problems","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7864713668823242},{"id":"https://openalex.org/keywords/subgradient-method","display_name":"Subgradient method","score":0.6731597781181335},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5194665789604187},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5137661695480347},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.4927830994129181},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4723447561264038},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46419039368629456},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46340087056159973},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.445883184671402}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7864713668823242},{"id":"https://openalex.org/C158968445","wikidata":"https://www.wikidata.org/wiki/Q7631150","display_name":"Subgradient method","level":2,"score":0.6731597781181335},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5194665789604187},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5137661695480347},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.4927830994129181},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4723447561264038},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46419039368629456},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46340087056159973},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.445883184671402},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2396761.2398508","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2396761.2398508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM international conference on Information and knowledge management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1997305783","https://openalex.org/W1998635907","https://openalex.org/W2020765652","https://openalex.org/W2041517243","https://openalex.org/W2065867349","https://openalex.org/W2093545205","https://openalex.org/W2100556411","https://openalex.org/W2129131372","https://openalex.org/W2138996412","https://openalex.org/W2142534468","https://openalex.org/W2963498015","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2359120930","https://openalex.org/W2037613239","https://openalex.org/W2781777036","https://openalex.org/W2390469630","https://openalex.org/W2059050877","https://openalex.org/W1971290991","https://openalex.org/W1944783162","https://openalex.org/W4378770495","https://openalex.org/W4361865857","https://openalex.org/W2962762987"],"abstract_inverted_index":{"A":[0],"typical":[1],"behavioral":[2],"targeting":[3],"system":[4],"optimizing":[5],"purchase":[6],"activities,":[7],"called":[8],"conversions,":[9],"faces":[10],"two":[11],"main":[12],"challenges:":[13],"the":[14,27,99,132,146],"web-scale":[15,122],"amounts":[16],"of":[17,30,55,62,73,76,98,138,142,148,153],"user":[18,123],"histories":[19],"to":[20,37,136],"process":[21],"on":[22,95],"a":[23,46,53,59,69,74,96,107,115,127],"daily":[24],"basis,":[25],"and":[26,79,82,114,140,156,167],"relative":[28],"sparsity":[29,155],"conversions.":[31],"In":[32],"this":[33],"paper,":[34],"we":[35,125],"try":[36],"address":[38],"these":[39],"challenges":[40],"through":[41],"feature":[42,161],"selection.":[43],"We":[44,67,144],"formulate":[45],"multi-task":[47,168],"(or":[48],"group)":[49],"feature-selection":[50],"problem":[51,133],"among":[52],"set":[54,61],"related":[56],"tasks":[57],"(sharing":[58],"common":[60],"features),":[63],"namely":[64],"advertising":[65],"campaigns.":[66],"apply":[68],"group-sparse":[70],"penalty":[71,81],"consisting":[72],"combination":[75],"an":[77,83],"l1":[78],"l2":[80],"associated":[84],"fast":[85],"optimization":[86],"algorithm":[87,93,130,150],"for":[88,110,131],"distributed":[89,116,128],"parameter":[90],"estimation.":[91],"Our":[92],"relies":[94],"variant":[97],"well":[100],"known":[101],"Fast":[102],"Iterative":[103],"Thresholding":[104],"Algorithm":[105],"(FISTA),":[106],"closed-form":[108],"solution":[109],"mixed":[111],"norm":[112],"programming":[113],"subgradient":[117],"oracle.":[118],"To":[119],"efficiently":[120],"handle":[121],"histories,":[124],"present":[126],"inference":[129],"that":[134],"scales":[135],"billions":[137],"instances":[139],"millions":[141],"attributes.":[143],"show":[145],"superiority":[147],"our":[149],"in":[151],"terms":[152],"both":[154],"ROC":[157],"performance":[158],"over":[159],"baseline":[160],"selection":[162],"methods":[163],"(both":[164],"single-task":[165],"-regularization":[166],"mutual-information":[169],"gain).":[170]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}