{"id":"https://openalex.org/W4321485437","doi":"https://doi.org/10.1145/3539597.3572729","title":"AutoML for Deep Recommender Systems: Fundamentals and Advances","display_name":"AutoML for Deep Recommender Systems: Fundamentals and Advances","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4321485437","doi":"https://doi.org/10.1145/3539597.3572729"},"language":"en","primary_location":{"id":"doi:10.1145/3539597.3572729","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539597.3572729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search 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/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":true,"raw_author_name":"Ruiming Tang","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"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/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"],"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/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"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yejing Wang","raw_affiliation_strings":["City University of Hong Kong, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","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"],"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/A5100724297","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0003-4822-8939"},"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":"Yong Liu","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"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/A5043696243","display_name":"Wenqi Fan","orcid":"https://orcid.org/0000-0002-4049-1233"},"institutions":[{"id":"https://openalex.org/I14243506","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98","country_code":"HK","type":"education","lineage":["https://openalex.org/I14243506"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenqi Fan","raw_affiliation_strings":["The Hong Kong Polytechnic University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I14243506"]}]},{"author_position":"last","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, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5054330014"],"corresponding_institution_ids":["https://openalex.org/I2250955327"],"apc_list":null,"apc_paid":null,"fwci":0.9163,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.76800449,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1264","last_page":"1267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9976000189781189,"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/T10028","display_name":"Topic Modeling","score":0.9958000183105469,"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/recommender-system","display_name":"Recommender system","score":0.953279972076416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8346835970878601},{"id":"https://openalex.org/keywords/information-overload","display_name":"Information overload","score":0.7304329872131348},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5494973063468933},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.540611982345581},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4837062954902649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45600947737693787},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3733687400817871},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3483714461326599},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34454768896102905},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24484285712242126},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.05951106548309326},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.05839160084724426}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.953279972076416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8346835970878601},{"id":"https://openalex.org/C186625053","wikidata":"https://www.wikidata.org/wiki/Q1130191","display_name":"Information overload","level":2,"score":0.7304329872131348},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5494973063468933},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.540611982345581},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4837062954902649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45600947737693787},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3733687400817871},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3483714461326599},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34454768896102905},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24484285712242126},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.05951106548309326},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.05839160084724426},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3539597.3572729","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539597.3572729","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Sixteenth ACM International Conference on Web Search 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":18,"referenced_works":["https://openalex.org/W1983548143","https://openalex.org/W2341865734","https://openalex.org/W2911760887","https://openalex.org/W2914721378","https://openalex.org/W2947656526","https://openalex.org/W2963832024","https://openalex.org/W2964938963","https://openalex.org/W3034483718","https://openalex.org/W3041360407","https://openalex.org/W3081190557","https://openalex.org/W3081362488","https://openalex.org/W3093965394","https://openalex.org/W3098024612","https://openalex.org/W3104506006","https://openalex.org/W3187174779","https://openalex.org/W3208642157","https://openalex.org/W4224227049","https://openalex.org/W4226150639"],"related_works":["https://openalex.org/W4251329182","https://openalex.org/W1599110641","https://openalex.org/W1549403601","https://openalex.org/W2497510784","https://openalex.org/W4252183363","https://openalex.org/W2787177576","https://openalex.org/W2078352417","https://openalex.org/W2418053903","https://openalex.org/W2098758514","https://openalex.org/W1575740715"],"abstract_inverted_index":{"Recommender":[0,28],"systems":[1,29,87],"have":[2,72],"become":[3],"increasingly":[4],"important":[5,14],"in":[6,16,23,65,137],"our":[7],"daily":[8],"lives":[9],"since":[10],"they":[11],"play":[12],"an":[13],"role":[15],"mitigating":[17],"the":[18,47,54,57,66,90,120,134],"information":[19],"overload":[20],"problem,":[21],"especially":[22],"many":[24],"user-oriented":[25],"online":[26],"services.":[27],"aim":[30],"to":[31,52,83,115,132],"identify":[32],"a":[33],"set":[34],"of":[35,60,92],"items":[36],"that":[37],"best":[38],"match":[39],"users'":[40],"explicit":[41],"or":[42],"implicit":[43],"preferences,":[44],"by":[45],"utilizing":[46],"user":[48],"and":[49,111,126],"item":[50],"interactions":[51],"improve":[53],"accuracy.":[55],"With":[56],"fast":[58],"advancement":[59],"deep":[61,85],"neural":[62],"networks":[63],"(DNNs)":[64],"past":[67],"few":[68],"decades,":[69],"recommendation":[70,121,139],"techniques":[71],"achieved":[73],"promising":[74],"performance.":[75],"However,":[76],"we":[77],"still":[78],"meet":[79],"three":[80],"inherent":[81],"challenges":[82],"design":[84,133],"recommender":[86,106],"(DRS):":[88],"1)":[89],"majority":[91],"existing":[93],"DRS":[94],"are":[95,129],"developed":[96],"based":[97],"on":[98],"hand-crafted":[99],"components,":[100,117],"which":[101,118],"requires":[102],"ample":[103],"expert":[104],"knowledge":[105],"systems;":[107],"2)":[108],"human":[109],"error":[110],"bias":[112],"can":[113],"lead":[114],"suboptimal":[116],"reduces":[119],"effectiveness;":[122],"3)":[123],"non-trivial":[124],"time":[125],"engineering":[127],"efforts":[128],"usually":[130],"required":[131],"task-specific":[135],"components":[136],"different":[138],"scenarios.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}