{"id":"https://openalex.org/W4367046992","doi":"https://doi.org/10.1145/3543507.3583444","title":"Automatic Feature Selection By One-Shot Neural Architecture Search In Recommendation Systems","display_name":"Automatic Feature Selection By One-Shot Neural Architecture Search In Recommendation Systems","publication_year":2023,"publication_date":"2023-04-26","ids":{"openalex":"https://openalex.org/W4367046992","doi":"https://doi.org/10.1145/3543507.3583444"},"language":"en","primary_location":{"id":"doi:10.1145/3543507.3583444","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","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/A5101990149","display_name":"He Wei","orcid":"https://orcid.org/0000-0002-1248-1804"},"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":true,"raw_author_name":"He Wei","raw_affiliation_strings":["Machine learning platform department, TEG, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0002-1248-1804","affiliations":[{"raw_affiliation_string":"Machine learning platform department, TEG, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030381144","display_name":"Yuekui Yang","orcid":"https://orcid.org/0000-0002-8709-3128"},"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"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuekui Yang","raw_affiliation_strings":["Machine learning platform department, TEG, Tencent, China and Department of Computer Science and Technology, Beijing National Research Center for Information Science and Technology, Tsinghua University, China"],"raw_orcid":"https://orcid.org/0000-0002-8709-3128","affiliations":[{"raw_affiliation_string":"Machine learning platform department, TEG, Tencent, China and Department of Computer Science and Technology, Beijing National Research Center for Information Science and Technology, Tsinghua University, China","institution_ids":["https://openalex.org/I2250653659","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081899382","display_name":"Haiyang Wu","orcid":"https://orcid.org/0000-0001-7314-7618"},"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":"Haiyang Wu","raw_affiliation_strings":["Machine learning platform department, TEG, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0001-7314-7618","affiliations":[{"raw_affiliation_string":"Machine learning platform department, TEG, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071091858","display_name":"Yangyang Tang","orcid":"https://orcid.org/0000-0002-6563-6734"},"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":"Yangyang Tang","raw_affiliation_strings":["Machine learning platform department, TEG, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0002-6563-6734","affiliations":[{"raw_affiliation_string":"Machine learning platform department, TEG, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079004512","display_name":"Meixi Liu","orcid":"https://orcid.org/0000-0001-7488-8143"},"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":"Meixi Liu","raw_affiliation_strings":["Machine learning platform department, TEG, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0001-7488-8143","affiliations":[{"raw_affiliation_string":"Machine learning platform department, TEG, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079191228","display_name":"Jianfeng Li","orcid":"https://orcid.org/0000-0001-9379-7028"},"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":"Jianfeng Li","raw_affiliation_strings":["Machine learning platform department, TEG, Tencent, China"],"raw_orcid":"https://orcid.org/0000-0001-9379-7028","affiliations":[{"raw_affiliation_string":"Machine learning platform department, TEG, Tencent, China","institution_ids":["https://openalex.org/I2250653659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101990149"],"corresponding_institution_ids":["https://openalex.org/I2250653659"],"apc_list":null,"apc_paid":null,"fwci":0.6816,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74393424,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1765","last_page":"1772"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9994000196456909,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9983000159263611,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9898999929428101,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7784548997879028},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6886814832687378},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6697093844413757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6296100616455078},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5480955243110657},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5257566571235657},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4425675570964813},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.43447935581207275},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4207148551940918},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.407913476228714}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7784548997879028},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6886814832687378},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6697093844413757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6296100616455078},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5480955243110657},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5257566571235657},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4425675570964813},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.43447935581207275},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4207148551940918},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.407913476228714},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3543507.3583444","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3543507.3583444","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2023","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5099999904632568,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1692174238","https://openalex.org/W2004915807","https://openalex.org/W2123372181","https://openalex.org/W2135046866","https://openalex.org/W2475334473","https://openalex.org/W2512971201","https://openalex.org/W2557913829","https://openalex.org/W2723293840","https://openalex.org/W2752782242","https://openalex.org/W2788728386","https://openalex.org/W2953604046","https://openalex.org/W2964081807","https://openalex.org/W2999681686","https://openalex.org/W3034483718","https://openalex.org/W3041360407","https://openalex.org/W3081190557","https://openalex.org/W3081362488","https://openalex.org/W3096533519","https://openalex.org/W3104506006","https://openalex.org/W3124675547","https://openalex.org/W3154430477","https://openalex.org/W3155298021","https://openalex.org/W3197870239","https://openalex.org/W3210344344","https://openalex.org/W4224227049","https://openalex.org/W4226150639"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W2031695474","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Feature":[0],"selection":[1,77],"is":[2,105,124,138],"crucial":[3],"in":[4,62,175],"large-scale":[5],"recommendation":[6,20],"system,":[7],"which":[8],"can":[9,80],"not":[10],"only":[11],"reduce":[12],"the":[13,19,26,31,35,47,83,91,109,113,128,131,143,156,176,181,187,192],"computational":[14],"cost,":[15],"but":[16],"also":[17],"improve":[18],"efficiency.":[21],"Most":[22],"existing":[23],"works":[24],"rank":[25],"features":[27,53,179],"and":[28,45,189],"then":[29],"select":[30],"top-k":[32],"ones":[33],"as":[34],"final":[36],"feature":[37,42,76,85,110,121,145],"subset.":[38,86],"However,":[39],"they":[40],"assess":[41],"importance":[43],"individually":[44],"ignore":[46],"interrelationship":[48],"between":[49],"features.":[50],"Consequently,":[51],"multiple":[52],"with":[54,171],"high":[55],"relevance":[56],"may":[57],"be":[58],"selected":[59],"simultaneously,":[60],"resulting":[61],"sub-optimal":[63],"result.":[64],"In":[65,112,130],"this":[66,70],"work,":[67],"we":[68,88],"solve":[69],"problem":[71],"by":[72],"proposing":[73],"an":[74],"AutoML-based":[75],"framework":[78,161],"that":[79],"automatically":[81],"search":[82,92,103,141],"optimal":[84,144],"Specifically,":[87],"first":[89,114],"embed":[90],"space":[93],"into":[94],"a":[95,99,116,134,172],"weight-sharing":[96],"Supernet.":[97,129],"Then,":[98],"two-stage":[100],"neural":[101],"architecture":[102],"method":[104,119,137,167],"employed":[106],"to":[107,126,140],"evaluate":[108],"quality.":[111],"stage,":[115,133],"well-designed":[117],"sampling":[118],"considering":[120],"convergence":[122],"fairness":[123],"applied":[125],"train":[127],"second":[132],"reinforcement":[135],"learning":[136],"used":[139],"for":[142],"subset":[146],"efficiently.":[147],"The":[148],"Experimental":[149],"results":[150],"on":[151,180],"two":[152],"real":[153],"datasets":[154],"demonstrate":[155,186],"superior":[157],"performance":[158],"of":[159,178,191],"new":[160],"over":[162],"other":[163],"solutions.":[164],"Our":[165],"proposed":[166],"obtain":[168],"significant":[169],"improvement":[170],"20%":[173],"reduction":[174],"amount":[177],"Criteo.":[182],"More":[183],"validation":[184],"experiments":[185],"ability":[188],"robustness":[190],"framework.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
