{"id":"https://openalex.org/W3187174779","doi":"https://doi.org/10.1145/3447548.3467208","title":"AutoLoss: Automated Loss Function Search in Recommendations","display_name":"AutoLoss: Automated Loss Function Search in Recommendations","publication_year":2021,"publication_date":"2021-08-12","ids":{"openalex":"https://openalex.org/W3187174779","doi":"https://doi.org/10.1145/3447548.3467208","mag":"3187174779"},"language":"en","primary_location":{"id":"doi:10.1145/3447548.3467208","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; 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/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"]},{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["HK","US"],"is_corresponding":true,"raw_author_name":"Xiangyu Zhao","raw_affiliation_strings":["City University of Hong Kong &amp; Michigan State University, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong &amp; Michigan State University, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708","https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070500491","display_name":"Haochen Liu","orcid":"https://orcid.org/0000-0002-2991-3642"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haochen Liu","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"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":"middle","author":{"id":"https://openalex.org/A5101566727","display_name":"Hui Liu","orcid":"https://orcid.org/0009-0007-9389-7038"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Liu","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040639891","display_name":"Jiliang Tang","orcid":"https://orcid.org/0000-0001-7125-3898"},"institutions":[{"id":"https://openalex.org/I87216513","display_name":"Michigan State University","ror":"https://ror.org/05hs6h993","country_code":"US","type":"education","lineage":["https://openalex.org/I87216513"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiliang Tang","raw_affiliation_strings":["Michigan State University, East Lansing, MI, USA"],"affiliations":[{"raw_affiliation_string":"Michigan State University, East Lansing, MI, USA","institution_ids":["https://openalex.org/I87216513"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100329450","display_name":"Chong Wang","orcid":"https://orcid.org/0000-0002-6462-1522"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chong Wang","raw_affiliation_strings":["ByteDance, Seattle, WA, USA"],"affiliations":[{"raw_affiliation_string":"ByteDance, Seattle, WA, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5100645854"],"corresponding_institution_ids":["https://openalex.org/I168719708","https://openalex.org/I87216513"],"apc_list":null,"apc_paid":null,"fwci":10.1914,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.98165049,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3959","last_page":"3967"},"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/T12535","display_name":"Machine Learning and Data Classification","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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9939000010490417,"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":0.8228890895843506},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.658829391002655},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.565412163734436},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5039932131767273},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47603657841682434},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.44439876079559326},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4414959251880646},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.44047489762306213},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4351770579814911},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.416491836309433}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8228890895843506},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.658829391002655},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.565412163734436},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5039932131767273},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47603657841682434},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.44439876079559326},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4414959251880646},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.44047489762306213},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4351770579814911},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.416491836309433},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3447548.3467208","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3447548.3467208","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2159122050","display_name":null,"funder_award_id":"IIS1907704, IIS1928278, IIS1714741, IIS1715940, IIS1845081, CNS1815636","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G450452401","display_name":null,"funder_award_id":"P0036200","funder_id":"https://openalex.org/F4320322598","funder_display_name":"Hong Kong Polytechnic University"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322598","display_name":"Hong Kong Polytechnic University","ror":"https://ror.org/0030zas98"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W10548402","https://openalex.org/W1901129140","https://openalex.org/W2295739661","https://openalex.org/W2296073425","https://openalex.org/W2422675628","https://openalex.org/W2469952266","https://openalex.org/W2499678836","https://openalex.org/W2512971201","https://openalex.org/W2548570154","https://openalex.org/W2560311620","https://openalex.org/W2594407953","https://openalex.org/W2604662567","https://openalex.org/W2728796024","https://openalex.org/W2788295351","https://openalex.org/W2793768763","https://openalex.org/W2799544270","https://openalex.org/W2810967842","https://openalex.org/W2898085636","https://openalex.org/W2910628332","https://openalex.org/W2921980263","https://openalex.org/W2961348656","https://openalex.org/W2963323306","https://openalex.org/W2963519394","https://openalex.org/W2963656735","https://openalex.org/W2963832024","https://openalex.org/W2964983698","https://openalex.org/W2965182628","https://openalex.org/W2985793077","https://openalex.org/W2998166845","https://openalex.org/W3007094061","https://openalex.org/W3034552531","https://openalex.org/W3040127368","https://openalex.org/W3041360407","https://openalex.org/W3081278459","https://openalex.org/W3081362488","https://openalex.org/W3093965394","https://openalex.org/W3101704389","https://openalex.org/W3102778384","https://openalex.org/W3102899483","https://openalex.org/W3103141630","https://openalex.org/W3104030692","https://openalex.org/W3104506006","https://openalex.org/W3105787366","https://openalex.org/W3157410348","https://openalex.org/W4301754034"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W2130974462"],"abstract_inverted_index":{"Designing":[0],"an":[1,77],"effective":[2],"loss":[3,23,51,89,110,126],"function":[4,24,90],"plays":[5],"a":[6,19,47,92,101,113],"crucial":[7],"role":[8],"in":[9,57,112],"training":[10,33,185],"deep":[11,147],"recommender":[12,148],"systems.":[13],"Most":[14],"existing":[15,117],"works":[16],"often":[17],"leverage":[18],"predefined":[20],"and":[21,32,59,83,144,150,184],"fixed":[22],"that":[25,80,164],"could":[26],"lead":[27],"to":[28,45,133,174],"suboptimal":[29],"recommendation":[30],"quality":[31],"efficiency.":[34,186],"Some":[35],"recent":[36],"efforts":[37],"rely":[38],"on":[39,157],"exhaustively":[40],"or":[41],"manually":[42],"searched":[43],"weights":[44],"fuse":[46],"group":[48],"of":[49,68,94,178],"candidate":[50],"functions,":[52],"which":[53,105],"is":[54],"exceptionally":[55],"costly":[56],"computation":[58],"time.":[60],"They":[61],"also":[62],"neglect":[63],"the":[64,87,109,119,125,141,154],"various":[65],"convergence":[66,136],"behaviors":[67],"different":[69,129],"data":[70,130],"examples.":[71],"In":[72],"this":[73],"work,":[74],"we":[75,99],"propose":[76],"AutoLoss":[78,165],"framework":[79,156],"can":[81,106,122],"automatically":[82],"adaptively":[84,123],"search":[85],"for":[86,128],"appropriate":[88],"from":[91],"set":[93],"candidates.":[95],"To":[96],"be":[97],"specific,":[98],"develop":[100],"novel":[102],"controller":[103,121],"network,":[104],"dynamically":[107],"adjust":[108],"probabilities":[111,127],"differentiable":[114],"manner.":[115],"Unlike":[116],"algorithms,":[118],"proposed":[120,155],"generate":[124],"examples":[131],"according":[132],"their":[134],"varied":[135],"behaviors.":[137],"Such":[138],"design":[139],"improves":[140],"model's":[142],"generalizability":[143],"transferability":[145],"between":[146],"systems":[149],"datasets.":[151,160],"We":[152],"evaluate":[153],"two":[158],"benchmark":[159],"The":[161],"results":[162],"show":[163],"outperforms":[166],"representative":[167],"baselines.":[168],"Further":[169],"experiments":[170],"have":[171],"been":[172],"conducted":[173],"deepen":[175],"our":[176],"understandings":[177],"AutoLoss,":[179],"including":[180],"its":[181],"transferability,":[182],"components":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":2}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
