{"id":"https://openalex.org/W4225156780","doi":"https://doi.org/10.1145/3477495.3531941","title":"AutoLossGen: Automatic Loss Function Generation for Recommender Systems","display_name":"AutoLossGen: Automatic Loss Function Generation for Recommender Systems","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4225156780","doi":"https://doi.org/10.1145/3477495.3531941"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3531941","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531941","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2204.13160","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100685181","display_name":"Zelong Li","orcid":"https://orcid.org/0000-0002-3110-4481"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zelong Li","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057828485","display_name":"Jianchao Ji","orcid":"https://orcid.org/0000-0002-0712-3527"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianchao Ji","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020526977","display_name":"Yingqiang Ge","orcid":"https://orcid.org/0000-0002-3736-2377"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yingqiang Ge","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101996136","display_name":"Yongfeng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongfeng Zhang","raw_affiliation_strings":["Rutgers University, New Brunswick, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University, New Brunswick, NJ, USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":4.0438,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.95115874,"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":"1304","last_page":"1315"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9968000054359436,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9789000153541565,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.842876672744751},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7760055661201477},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.555808424949646},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.4985618591308594},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.47179025411605835},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42747563123703003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4157350957393646},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.41206613183021545},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.12447589635848999}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.842876672744751},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7760055661201477},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.555808424949646},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.4985618591308594},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.47179025411605835},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42747563123703003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4157350957393646},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.41206613183021545},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.12447589635848999},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3477495.3531941","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3531941","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2204.13160","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.13160","pdf_url":"https://arxiv.org/pdf/2204.13160","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2204.13160","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2204.13160","pdf_url":"https://arxiv.org/pdf/2204.13160","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G449450084","display_name":"III: Small: Towards Explainable Recommendation Systems","funder_award_id":"1910154","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2041913211","https://openalex.org/W2049266248","https://openalex.org/W2054141820","https://openalex.org/W2090411045","https://openalex.org/W2126926806","https://openalex.org/W2165880761","https://openalex.org/W2182353144","https://openalex.org/W2475334473","https://openalex.org/W2584781382","https://openalex.org/W2912083425","https://openalex.org/W2913408077","https://openalex.org/W2963351448","https://openalex.org/W2963466847","https://openalex.org/W2963821229","https://openalex.org/W2963936326","https://openalex.org/W2964081807","https://openalex.org/W2965658867","https://openalex.org/W2985793077","https://openalex.org/W2998166845","https://openalex.org/W3024683329","https://openalex.org/W3038640658","https://openalex.org/W3093531652","https://openalex.org/W3104733330","https://openalex.org/W3153088333","https://openalex.org/W3153507763","https://openalex.org/W3187174779","https://openalex.org/W3195131965","https://openalex.org/W4213273382","https://openalex.org/W4239167255","https://openalex.org/W4297971002"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4288390103","https://openalex.org/W4317039510","https://openalex.org/W4238861846"],"abstract_inverted_index":{"In":[0,55],"recommendation":[1,144,189,199],"systems,":[2],"the":[3,17,32,35,60,119,123,127,140,149,160,194,209,215,235],"choice":[4],"of":[5,34,40,63,121,143,208,234],"loss":[6,13,25,46,71,81,93,108,134,154,173,185,196,216],"function":[7,72],"is":[8,26,77,139,237],"critical":[9],"since":[10],"a":[11,23,27,99,165],"good":[12,24],"may":[14],"significantly":[15],"improve":[16],"model":[18,101,125,221,229],"performance.":[19],"However,":[20],"manually":[21],"designing":[22],"big":[28],"challenge":[29,131],"due":[30],"to":[31,79,106,117,148,182],"complexity":[33],"problem.":[36],"A":[37],"large":[38],"fraction":[39],"previous":[41],"work":[42,236],"focuses":[43],"on":[44,92,219],"handcrafted":[45],"functions,":[47,109],"which":[48,76,146],"needs":[49],"significant":[50],"expertise":[51],"and":[52,110,113,126,156,171,191,193,222],"human":[53],"effort.":[54],"this":[56],"paper,":[57],"inspired":[58],"by":[59,103],"recent":[61],"development":[62],"automated":[64],"machine":[65],"learning,":[66],"we":[67,97,162],"propose":[68],"an":[69],"automatic":[70,133],"generation":[73,135,155],"framework,":[74],"AutoLossGen,":[75],"able":[78],"generate":[80,107],"functions":[82,186],"directly":[83],"constructed":[84],"from":[85],"basic":[86],"mathematical":[87],"operators":[88],"without":[89],"prior":[90],"knowledge":[91],"structure.":[94],"More":[95],"specifically,":[96],"develop":[98,111,164],"controller":[100,124],"driven":[102],"reinforcement":[104],"learning":[105],"iterative":[112],"alternating":[114],"optimization":[115],"schedule":[116],"update":[118],"parameters":[120],"both":[122],"recommender":[128,137],"model.":[129],"One":[130],"for":[132,153,169,187,227],"in":[136],"systems":[138],"extreme":[141],"sparsity":[142],"datasets,":[145,192],"leads":[147],"sparse":[150],"reward":[151,166],"problem":[152],"search.":[157],"To":[158],"solve":[159],"problem,":[161],"further":[163],"filtering":[167],"mechanism":[168],"efficient":[170],"effective":[172],"generation.":[174],"Experimental":[175],"results":[176],"show":[177],"that":[178],"our":[179],"framework":[180],"manages":[181],"create":[183],"tailored":[184],"different":[188],"models":[190],"generated":[195,210,217],"gives":[197],"better":[198],"performance":[200],"than":[201],"commonly":[202],"used":[203],"baseline":[204],"losses.":[205],"Besides,":[206],"most":[207],"losses":[211],"are":[212],"transferable,":[213],"i.e.,":[214],"based":[218],"one":[220],"dataset":[223],"also":[224],"works":[225],"well":[226],"another":[228],"or":[230],"dataset.":[231],"Source":[232],"code":[233],"available":[238],"at":[239],"https://github.com/rutgerswiselab/AutoLossGen.":[240]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":2}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}