{"id":"https://openalex.org/W4416017931","doi":"https://doi.org/10.1145/3746252.3761561","title":"Climber: Toward Efficient Scaling Laws for Large Recommendation Models","display_name":"Climber: Toward Efficient Scaling Laws for Large Recommendation Models","publication_year":2025,"publication_date":"2025-11-08","ids":{"openalex":"https://openalex.org/W4416017931","doi":"https://doi.org/10.1145/3746252.3761561"},"language":null,"primary_location":{"id":"doi:10.1145/3746252.3761561","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","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/A5103336662","display_name":"Songpei Xu","orcid":"https://orcid.org/0009-0004-9515-7226"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Songpei Xu","raw_affiliation_strings":["NetEase Cloud Music, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-9515-7226","affiliations":[{"raw_affiliation_string":"NetEase Cloud Music, Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016188113","display_name":"Shijia Wang","orcid":"https://orcid.org/0000-0001-9170-1889"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijia Wang","raw_affiliation_strings":["NetEase Cloud Music, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9170-1889","affiliations":[{"raw_affiliation_string":"NetEase Cloud Music, Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080723597","display_name":"Da Guo","orcid":"https://orcid.org/0009-0001-1263-5383"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Da Guo","raw_affiliation_strings":["NetEase Cloud Music, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-1263-5383","affiliations":[{"raw_affiliation_string":"NetEase Cloud Music, Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018946461","display_name":"Xianwen Guo","orcid":"https://orcid.org/0000-0003-3989-7460"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianwen Guo","raw_affiliation_strings":["NetEase Cloud Music, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5687-1815","affiliations":[{"raw_affiliation_string":"NetEase Cloud Music, Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064541131","display_name":"Qiang Xiao","orcid":"https://orcid.org/0000-0002-3940-5449"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Xiao","raw_affiliation_strings":["NetEase Cloud Music, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3940-5449","affiliations":[{"raw_affiliation_string":"NetEase Cloud Music, Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bin Huang","orcid":"https://orcid.org/0009-0003-3214-1211"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Huang","raw_affiliation_strings":["NetEase Cloud Music, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0003-3214-1211","affiliations":[{"raw_affiliation_string":"NetEase Cloud Music, Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104101759","display_name":"Guangjie Wu","orcid":"https://orcid.org/0009-0004-7603-5098"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanlin Wu","raw_affiliation_strings":["NetEase Cloud Music, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-7603-5098","affiliations":[{"raw_affiliation_string":"NetEase Cloud Music, Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031724904","display_name":"Chuanjiang Luo","orcid":"https://orcid.org/0009-0008-7022-8023"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuanjiang Luo","raw_affiliation_strings":["NetEase Cloud Music, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0008-7022-8023","affiliations":[{"raw_affiliation_string":"NetEase Cloud Music, Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5103336662"],"corresponding_institution_ids":["https://openalex.org/I4210091137"],"apc_list":null,"apc_paid":null,"fwci":5.4134,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.96234376,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"6193","last_page":"6200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9010999798774719,"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":0.9010999798774719,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.010599999688565731,"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/T14347","display_name":"Big Data and Digital Economy","score":0.007699999958276749,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6581000089645386},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.5690000057220459},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4172999858856201},{"id":"https://openalex.org/keywords/scaling-law","display_name":"Scaling law","score":0.4043000042438507},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.40400001406669617},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.37229999899864197}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7342000007629395},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6581000089645386},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.5690000057220459},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4172999858856201},{"id":"https://openalex.org/C2988430800","wikidata":"https://www.wikidata.org/wiki/Q428971","display_name":"Scaling law","level":3,"score":0.4043000042438507},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.40400001406669617},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.37229999899864197},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.37229999899864197},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.352400004863739},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3411000072956085},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.33660000562667847},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.28529998660087585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27900001406669617},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27090001106262207},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.2687999904155731}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746252.3761561","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3761561","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2027731328","https://openalex.org/W2752782242","https://openalex.org/W2803770679","https://openalex.org/W2911829170","https://openalex.org/W2946044191","https://openalex.org/W2966123616","https://openalex.org/W2982902390","https://openalex.org/W3172942063","https://openalex.org/W3197720002","https://openalex.org/W4290944002","https://openalex.org/W4306317325","https://openalex.org/W4367047145","https://openalex.org/W4385562487","https://openalex.org/W4385562613","https://openalex.org/W4386065512","https://openalex.org/W4403218830","https://openalex.org/W4403577780","https://openalex.org/W4412876826"],"related_works":[],"abstract_inverted_index":{"Transformer-based":[0],"generative":[1],"models":[2],"have":[3],"achieved":[4],"remarkable":[5],"success":[6],"across":[7],"domains":[8],"with":[9,33,41,60,116],"various":[10],"scaling":[11,29,85,115],"law":[12],"manifestations.":[13],"However,":[14],"our":[15],"extensive":[16],"experiments":[17],"reveal":[18],"persistent":[19],"challenges":[20],"when":[21],"applying":[22],"Transformer":[23,28],"to":[24,38,126],"recommendation":[25,74],"systems:":[26],"(1)":[27,98],"is":[30],"not":[31],"ideal":[32],"increased":[34],"computational":[35,67],"resources,":[36],"due":[37],"structural":[39],"incompatibilities":[40],"recommendation-specific":[42],"features":[43],"such":[44],"as":[45],"multi-source":[46],"data":[47],"heterogeneity;":[48],"(2)":[49,119],"critical":[50],"online":[51],"inference":[52],"latency":[53],"constraints":[54],"(tens":[55],"of":[56],"milliseconds)":[57],"that":[58,102],"intensify":[59],"longer":[61],"user":[62],"behavior":[63],"sequences":[64],"and":[65,86,129,154],"growing":[66],"demands.":[68],"We":[69],"propose":[70],"Climber,":[71],"an":[72],"efficient":[73,84,114],"framework":[75],"comprising":[76],"two":[77,95],"synergistic":[78],"components:":[79],"the":[80,87,127],"model":[81,93],"architecture":[82],"for":[83],"co-designed":[88],"acceleration":[89,134],"techniques.":[90],"Our":[91],"proposed":[92],"adopts":[94],"core":[96],"innovations:":[97],"multi-scale":[99],"sequence":[100,117],"extraction":[101],"achieves":[103,137],"a":[104,109,138,147],"time":[105],"complexity":[106],"reduction":[107],"by":[108,133,145],"constant":[110],"factor,":[111],"enabling":[112],"more":[113],"length;":[118],"dynamic":[120],"temperature":[121],"modulation":[122],"adapting":[123],"attention":[124],"distributions":[125],"multi-scenario":[128],"multi-behavior":[130],"patterns.":[131],"Complemented":[132],"techniques,":[135],"Climber":[136],"5.15\u00d7":[139],"throughput":[140],"gain":[141],"without":[142],"performance":[143],"degradation":[144],"adopting":[146],"''single":[148],"user,":[149],"multiple":[150],"item''":[151],"batched":[152],"processing":[153],"memory-efficient":[155],"Key-Value":[156],"caching.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-10T08:33:47.465468","created_date":"2025-11-08T00:00:00"}
