{"id":"https://openalex.org/W4401863288","doi":"https://doi.org/10.1145/3637528.3671571","title":"ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems","display_name":"ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems","publication_year":2024,"publication_date":"2024-08-24","ids":{"openalex":"https://openalex.org/W4401863288","doi":"https://doi.org/10.1145/3637528.3671571"},"language":"en","primary_location":{"id":"doi:10.1145/3637528.3671571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671571","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/A5094239331","display_name":"Pengyue Jia","orcid":"https://orcid.org/0000-0003-4712-3676"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Pengyue Jia","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-4712-3676","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062469929","display_name":"Yejing Wang","orcid":"https://orcid.org/0000-0003-2852-9910"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yejing Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China","Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2852-9910","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040755010","display_name":"Zhaocheng Du","orcid":"https://orcid.org/0000-0002-1811-129X"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaocheng Du","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-1811-129X","affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645854","display_name":"Xiangyu Zhao","orcid":"https://orcid.org/0000-0003-2926-4416"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Xiangyu Zhao","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-2926-4416","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042180831","display_name":"Yichao Wang","orcid":"https://orcid.org/0000-0001-7053-8269"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]},{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Yichao Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China","Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7053-8269","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100427434","display_name":"Bo Chen","orcid":"https://orcid.org/0000-0003-3750-2533"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Chen","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3750-2533","affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059573675","display_name":"Wanyu Wang","orcid":"https://orcid.org/0000-0001-5976-0707"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wanyu Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0001-5976-0707","affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019541869","display_name":"Huifeng Guo","orcid":"https://orcid.org/0000-0002-7393-8994"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huifeng Guo","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7393-8994","affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054330014","display_name":"Ruiming Tang","orcid":"https://orcid.org/0000-0002-9224-2431"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruiming Tang","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-9224-2431","affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5094239331"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":11.19,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.98321986,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"5194","last_page":"5205"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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/T12676","display_name":"Machine Learning and ELM","score":0.992900013923645,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9909999966621399,"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":0.8307641744613647},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.7375345230102539},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7039375901222229},{"id":"https://openalex.org/keywords/generalizability-theory","display_name":"Generalizability theory","score":0.6233305335044861},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6183357834815979},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.614197850227356},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5845850110054016},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5677983164787292},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5502541065216064},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5392128229141235},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.47715944051742554},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.45747941732406616},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.45218318700790405},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.45022743940353394},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.4407574534416199},{"id":"https://openalex.org/keywords/representativeness-heuristic","display_name":"Representativeness heuristic","score":0.4153839647769928},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3823477327823639},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.13997352123260498},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.13740798830986023}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8307641744613647},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.7375345230102539},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7039375901222229},{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.6233305335044861},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6183357834815979},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.614197850227356},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5845850110054016},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5677983164787292},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5502541065216064},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5392128229141235},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.47715944051742554},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.45747941732406616},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.45218318700790405},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.45022743940353394},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.4407574534416199},{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.4153839647769928},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3823477327823639},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.13997352123260498},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.13740798830986023},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3637528.3671571","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3637528.3671571","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":38,"referenced_works":["https://openalex.org/W1905882502","https://openalex.org/W2295598076","https://openalex.org/W2475334473","https://openalex.org/W2484828460","https://openalex.org/W2783801376","https://openalex.org/W2913754224","https://openalex.org/W2946044191","https://openalex.org/W2953043480","https://openalex.org/W2962989965","https://openalex.org/W2963749793","https://openalex.org/W2964182926","https://openalex.org/W2969476445","https://openalex.org/W2973941913","https://openalex.org/W2998216295","https://openalex.org/W3005526988","https://openalex.org/W3034552531","https://openalex.org/W3104789011","https://openalex.org/W3126977517","https://openalex.org/W3127251420","https://openalex.org/W3154430477","https://openalex.org/W3164006073","https://openalex.org/W3171874185","https://openalex.org/W3187174779","https://openalex.org/W4224227049","https://openalex.org/W4225713811","https://openalex.org/W4226150639","https://openalex.org/W4290874950","https://openalex.org/W4313558118","https://openalex.org/W4324311885","https://openalex.org/W4367046995","https://openalex.org/W4384828482","https://openalex.org/W4386557465","https://openalex.org/W4387846361","https://openalex.org/W4388194764","https://openalex.org/W4392368241","https://openalex.org/W4393153290","https://openalex.org/W4396820856","https://openalex.org/W6810539046"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W3159631231","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W2487558492","https://openalex.org/W3157143276","https://openalex.org/W4253315251","https://openalex.org/W4242228481","https://openalex.org/W2040343301"],"abstract_inverted_index":{"Deep":[0],"Recommender":[1],"Systems":[2],"(DRS)":[3],"are":[4,22],"increasingly":[5],"dependent":[6],"on":[7,79,83,104,110],"a":[8,87,149,159,182],"large":[9],"number":[10],"of":[11,48,76,99,138,162,196],"feature":[12,19,117,164],"fields":[13],"for":[14,26,126,152,155,194],"more":[15],"precise":[16],"recommendations.":[17],"Effective":[18],"selection":[20,80,91,118,165],"methods":[21],"consequently":[23],"becoming":[24],"critical":[25],"further":[27],"enhancing":[28],"the":[29,38,46,72,97,112,128,134],"accuracy":[30],"and":[31,52,86,93,101,131,136,170,181],"optimizing":[32],"storage":[33],"efficiencies":[34],"to":[35],"align":[36],"with":[37],"deployment":[39,103],"demands.":[40],"This":[41,120],"research":[42,62,107],"area,":[43],"particularly":[44],"in":[45],"context":[47],"DRS,":[49],"is":[50,122,191],"nascent":[51],"faces":[53],"three":[54],"core":[55],"challenges.":[56],"Firstly,":[57],"variant":[58],"experimental":[59],"setups":[60],"across":[61,174],"papers":[63],"often":[64,108],"yield":[65],"unfair":[66],"comparisons,":[67],"obscuring":[68],"practical":[69],"insights.":[70],"Secondly,":[71],"existing":[73],"literature's":[74],"lack":[75],"detailed":[77],"analysis":[78],"attributes,":[81],"based":[82],"large-scale":[84],"datasets":[85],"thorough":[88,160],"comparison":[89],"among":[90],"techniques":[92],"DRS":[94],"backbones,":[95],"restricts":[96],"generalizability":[98],"findings":[100],"impedes":[102],"DRS.":[105,156],"Lastly,":[106],"focuses":[109],"comparing":[111],"peak":[113],"performance":[114],"achievable":[115],"by":[116],"methods.":[119,140],"approach":[121],"typically":[123],"computationally":[124],"infeasible":[125],"identifying":[127],"optimal":[129],"hyperparameters":[130],"overlooks":[132],"evaluating":[133],"robustness":[135],"stability":[137],"these":[139,143],"To":[141],"bridge":[142],"gaps,":[144],"this":[145],"paper":[146],"presents":[147],"ERASE,":[148],"comprehensive":[150],"bEnchmaRk":[151],"feAture":[153],"SElection":[154],"ERASE":[157],"comprises":[158],"evaluation":[161],"eleven":[163],"methods,":[166],"covering":[167],"both":[168],"traditional":[169],"deep":[171],"learning":[172],"approaches,":[173],"four":[175],"public":[176],"datasets,":[177,180],"private":[178],"industrial":[179],"real-world":[183],"commercial":[184],"platform,":[185],"achieving":[186],"significant":[187],"enhancement.":[188],"Our":[189],"code":[190],"available":[192],"online":[193],"ease":[195],"reproduction.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}