{"id":"https://openalex.org/W4415540566","doi":"https://doi.org/10.1145/3746027.3755632","title":"CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration","display_name":"CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415540566","doi":"https://doi.org/10.1145/3746027.3755632"},"language":"en","primary_location":{"id":"doi:10.1145/3746027.3755632","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","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/2510.03038","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Tianqi Liu","orcid":"https://orcid.org/0009-0002-7217-1290"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianqi Liu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-7217-1290","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043181391","display_name":"Kairui Fu","orcid":"https://orcid.org/0009-0004-0284-671X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kairui Fu","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0004-0284-671X","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757087","display_name":"Shengyu Zhang","orcid":"https://orcid.org/0000-0002-0030-8289"},"institutions":[{"id":"https://openalex.org/I4210137766","display_name":"Institute for Advanced Study","ror":"https://ror.org/03xg85719","country_code":"DE","type":"facility","lineage":["https://openalex.org/I4210137766"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Shengyu Zhang","raw_affiliation_strings":["Zhejiang University, Hangzhou, China and Shanghai Institute for Advanced Study of Zhejiang University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0030-8289","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China and Shanghai Institute for Advanced Study of Zhejiang University, Shanghai, China","institution_ids":["https://openalex.org/I4210137766"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061959149","display_name":"Wenyan Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyan Fan","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0006-5796-2229","affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"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/A5048669373","display_name":"Jieming Zhu","orcid":"https://orcid.org/0000-0002-5666-8320"},"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":"Jieming Zhu","raw_affiliation_strings":["Huawei Noah's Ark Lab, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-5666-8320","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/A5059190563","display_name":"Fan Wu","orcid":"https://orcid.org/0000-0003-0965-9058"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Wu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0965-9058","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004882141","display_name":"Fei Wu","orcid":"https://orcid.org/0000-0003-2139-8807"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China","Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2139-8807","affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"6252","last_page":"6261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9883000254631042,"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/T12607","display_name":"Personal Information Management and User Behavior","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6843000054359436},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.5997999906539917},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5788999795913696},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.515999972820282},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.412200003862381},{"id":"https://openalex.org/keywords/chord","display_name":"Chord (peer-to-peer)","score":0.36550000309944153},{"id":"https://openalex.org/keywords/retraining","display_name":"Retraining","score":0.3483000099658966},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.34389999508857727}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8258000016212463},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6843000054359436},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.5997999906539917},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5788999795913696},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.515999972820282},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.43230000138282776},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.412200003862381},{"id":"https://openalex.org/C194147245","wikidata":"https://www.wikidata.org/wiki/Q1076368","display_name":"Chord (peer-to-peer)","level":2,"score":0.36550000309944153},{"id":"https://openalex.org/C2778712577","wikidata":"https://www.wikidata.org/wiki/Q3505966","display_name":"Retraining","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3472000062465668},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.34389999508857727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3434999883174896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33799999952316284},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31380000710487366},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.3133000135421753},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.27379998564720154},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.2685000002384186},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.26159998774528503},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.2563000023365021},{"id":"https://openalex.org/C95491727","wikidata":"https://www.wikidata.org/wiki/Q992968","display_name":"Mobile telephony","level":3,"score":0.250900000333786}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3746027.3755632","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755632","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2510.03038","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.03038","pdf_url":"https://arxiv.org/pdf/2510.03038","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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:2510.03038","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2510.03038","pdf_url":"https://arxiv.org/pdf/2510.03038","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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/G8337929185","display_name":null,"funder_award_id":"No. 62402429, U24A20326, 62441236","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1978609982","https://openalex.org/W2746011824","https://openalex.org/W2783272285","https://openalex.org/W2915771847","https://openalex.org/W2963367478","https://openalex.org/W2982041622","https://openalex.org/W2982479999","https://openalex.org/W3034644181","https://openalex.org/W3093987685","https://openalex.org/W3154921101","https://openalex.org/W3166751026","https://openalex.org/W3205970722","https://openalex.org/W4283662558","https://openalex.org/W4306317504","https://openalex.org/W4367046983","https://openalex.org/W4403118770","https://openalex.org/W4405612257","https://openalex.org/W4409150405","https://openalex.org/W4409367461"],"related_works":[],"abstract_inverted_index":{"With":[0],"the":[1,116,189],"advancement":[2],"of":[3,173,194],"mobile":[4],"device":[5],"capabilities,":[6],"deploying":[7],"reranking":[8],"models":[9,22,102],"directly":[10],"on":[11,115,177],"devices":[12,105],"has":[13],"become":[14],"feasible,":[15],"enabling":[16,131],"real-time":[17],"contextual":[18],"recommendations.":[19],"When":[20],"migrating":[21],"from":[23,134],"cloud":[24],"to":[25,91,137],"devices,":[26],"resource":[27],"heterogeneity":[28],"inevitably":[29],"necessitates":[30],"model":[31,79,147],"compression.":[32],"Recent":[33],"quantization":[34,90,138,164],"methods":[35],"show":[36],"promise":[37],"for":[38,75,80],"efficient":[39],"deployment,":[40],"yet":[41],"they":[42],"overlook":[43],"device-specific":[44],"user":[45,57,135],"interests,":[46],"resulting":[47],"in":[48],"compromised":[49],"recommendation":[50],"accuracy.":[51],"While":[52],"on-device":[53,141],"finetuning":[54],"captures":[55],"personalized":[56],"preference,":[58],"it":[59],"imposes":[60],"additional":[61],"computational":[62],"burden":[63],"through":[64,111],"local":[65],"retraining.":[66],"To":[67],"address":[68],"these":[69],"challenges,":[70],"we":[71],"propose":[72],"a":[73],"framework":[74],"\\underline{\\textbf{C}}ustomizing":[76],"\\underline{\\textbf{H}}ybrid-precision":[77],"\\underline{\\textbf{O}}n-device":[78],"sequential":[81],"\\underline{\\textbf{R}}ecommendation":[82],"with":[83,181],"\\underline{\\textbf{D}}evice-cloud":[84],"collaboration":[85],"(\\textbf{CHORD}),":[86],"leveraging":[87],"channel-wise":[88],"mixed-precision":[89,142],"simultaneously":[92],"achieve":[93],"personalization":[94],"and":[95,106,128,149,186,192],"resource-adaptive":[96],"deployment.":[97],"CHORD":[98,144],"distributes":[99],"randomly":[100],"initialized":[101],"across":[103,123],"heterogeneous":[104],"identifies":[107],"user-specific":[108],"critical":[109],"parameters":[110],"auxiliary":[112],"hypernetwork":[113],"modules":[114],"cloud.":[117],"Our":[118],"parameter":[119],"sensitivity":[120],"analysis":[121],"operates":[122],"multiple":[124],"granularities":[125],"(layer,":[126],"filter,":[127],"element":[129],"levels),":[130],"precise":[132],"mapping":[133],"profiles":[136],"strategy.":[139],"Through":[140],"quantization,":[143],"delivers":[145],"dynamic":[146],"adaptation":[148],"accelerated":[150],"inference":[151],"without":[152],"backpropagation,":[153],"eliminating":[154],"costly":[155],"retraining":[156],"cycles.":[157],"We":[158],"minimize":[159],"communication":[160],"overhead":[161],"by":[162],"encoding":[163],"strategies":[165],"using":[166],"only":[167],"2":[168],"bits":[169],"per":[170],"channel":[171],"instead":[172],"32-bit":[174],"weights.":[175],"Experiments":[176],"three":[178],"real-world":[179],"datasets":[180],"two":[182],"popular":[183],"backbones":[184],"(SASRec":[185],"Caser)":[187],"demonstrate":[188],"accuracy,":[190],"efficiency,":[191],"adaptivity":[193],"CHORD.":[195]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-25T00:00:00"}