{"id":"https://openalex.org/W4412877142","doi":"https://doi.org/10.1145/3711896.3736865","title":"Breaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation","display_name":"Breaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation","publication_year":2025,"publication_date":"2025-08-03","ids":{"openalex":"https://openalex.org/W4412877142","doi":"https://doi.org/10.1145/3711896.3736865"},"language":"en","primary_location":{"id":"doi:10.1145/3711896.3736865","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736865","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736865","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736865","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108313805","display_name":"W. Xie","orcid":"https://orcid.org/0009-0009-6392-2559"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenjia Xie","raw_affiliation_strings":["University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence, Hefei, VIC, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence, Hefei, VIC, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100446071","display_name":"Hao Wang","orcid":"https://orcid.org/0000-0001-9921-2078"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Wang","raw_affiliation_strings":["University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence, Hefei, VIC, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence, Hefei, VIC, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039330352","display_name":"Minghao Fang","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Fang","raw_affiliation_strings":["University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence, Hefei, VIC, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence, Hefei, VIC, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070530976","display_name":"Ruize Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruize Yu","raw_affiliation_strings":["University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence, Hefei, VIC, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence, Hefei, VIC, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100648538","display_name":"Wei Guo","orcid":"https://orcid.org/0000-0001-8616-0221"},"institutions":[{"id":"https://openalex.org/I4210159102","display_name":"Huawei Technologies (Sweden)","ror":"https://ror.org/0500fyd17","country_code":"SE","type":"company","lineage":["https://openalex.org/I2250955327","https://openalex.org/I4210159102"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Wei Guo","raw_affiliation_strings":["Huawei Noah's Ark Lab, Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I4210159102"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072988055","display_name":"Yong Liu","orcid":"https://orcid.org/0000-0001-9031-9696"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Liu","raw_affiliation_strings":["Huawei Noah's Ark Lab, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"Huawei Noah's Ark Lab, Singapore, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085254654","display_name":"Defu Lian","orcid":"https://orcid.org/0000-0002-3507-9607"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Defu Lian","raw_affiliation_strings":["University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence, hefei, VIC, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence, hefei, VIC, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence, Hefei, VIC, China"],"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, State Key Laboratory of Cognitive Intelligence, Hefei, VIC, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5108313805"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28373013,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3333","last_page":"3343"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9958000183105469,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9947999715805054,"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/bottleneck","display_name":"Bottleneck","score":0.8043092489242554},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7488617897033691},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6702523827552795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3504669666290283},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3473258912563324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32777106761932373},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.09029009938240051}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8043092489242554},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7488617897033691},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6702523827552795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3504669666290283},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3473258912563324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32777106761932373},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.09029009938240051}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711896.3736865","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736865","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736865","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711896.3736865","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711896.3736865","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711896.3736865","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4862937960","display_name":null,"funder_award_id":"U23A20319","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6676365692","display_name":null,"funder_award_id":"U23A203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7805001638","display_name":null,"funder_award_id":"U23A2031","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412877142.pdf","grobid_xml":"https://content.openalex.org/works/W4412877142.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1985690171","https://openalex.org/W2024320089","https://openalex.org/W2027731328","https://openalex.org/W2126316555","https://openalex.org/W2144499799","https://openalex.org/W2225156818","https://openalex.org/W2340502990","https://openalex.org/W2783272285","https://openalex.org/W2899457523","https://openalex.org/W2962834855","https://openalex.org/W2963367478","https://openalex.org/W2964044287","https://openalex.org/W2964296635","https://openalex.org/W2964926209","https://openalex.org/W2981852735","https://openalex.org/W2984100107","https://openalex.org/W2989395196","https://openalex.org/W3003341035","https://openalex.org/W3005071803","https://openalex.org/W3034329572","https://openalex.org/W3035170973","https://openalex.org/W3081170586","https://openalex.org/W3101707147","https://openalex.org/W3123348991","https://openalex.org/W3157014581","https://openalex.org/W4226012237","https://openalex.org/W4281488643","https://openalex.org/W4288089799","https://openalex.org/W4290944002","https://openalex.org/W4367047145","https://openalex.org/W4376122599","https://openalex.org/W4386783344","https://openalex.org/W4400528024","https://openalex.org/W4401864065","https://openalex.org/W4403218830","https://openalex.org/W4403577471","https://openalex.org/W4403577524","https://openalex.org/W4404344156","https://openalex.org/W6852797925"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Sequential":[0],"recommendation":[1,8,158],"(SR),":[2],"as":[3,70,78],"an":[4,106],"important":[5],"branch":[6],"of":[7,31,75,95,109,164,186],"systems,":[9],"has":[10,21],"garnered":[11],"significant":[12],"attention":[13],"due":[14],"to":[15,25,35,92,125],"its":[16],"substantial":[17],"commercial":[18],"value.":[19],"This":[20],"inspired":[22],"some":[23],"researchers":[24],"draw":[26],"from":[27],"the":[28,42,53,81,93,119,146,168,176,202],"successful":[29],"experiences":[30],"large":[32],"language":[33],"models":[34],"develop":[36],"scaling":[37,150],"laws":[38],"for":[39,84,180],"SR.":[40,115],"However,":[41],"improvements":[43],"brought":[44],"by":[45],"parameter":[46],"expansion":[47],"often":[48,90],"reach":[49],"a":[50,72,127,156],"limit":[51],"when":[52],"data":[54],"scale":[55],"is":[56],"fixed.":[57],"We":[58,116],"have":[59],"observed":[60],"that":[61,136,160,198],"existing":[62],"deep":[63],"learning":[64,71],"sequence":[65,113,132],"methods":[66],"are":[67],"typically":[68],"seen":[69],"unified":[73],"pattern":[74],"user":[76,97],"interactions,":[77],"they":[79],"apply":[80],"same":[82],"model":[83,159],"inference":[85,163],"across":[86],"different":[87],"users,":[88],"which":[89,121],"leads":[91],"neglect":[94],"individual":[96,138],"behavior":[98],"patterns.":[99],"To":[100],"address":[101],"this,":[102],"we":[103,153],"propose":[104],"conducting":[105],"independent":[107],"analysis":[108],"each":[110,131],"user's":[111],"interaction":[112],"in":[114],"initially":[117],"developed":[118],"PCRec-simple,":[120],"uses":[122],"KL":[123,172],"divergence":[124,173],"perform":[126],"one-time":[128],"optimization":[129,174,182,190],"on":[130,194],"after":[133,149],"training,":[134],"demonstrating":[135],"optimizing":[137],"sequences":[139],"can":[140,208],"provide":[141],"additional":[142],"insights":[143],"and":[144,183,189],"overcome":[145],"performance":[147],"bottleneck":[148],"laws.":[151],"Subsequently,":[152],"introduce":[154],"PCRec,":[155],"sequential":[157],"integrates":[161],"real-time":[162],"hidden":[165],"states":[166],"into":[167],"model.":[169],"It":[170],"applies":[171],"during":[175],"forward":[177],"process,":[178],"allowing":[179],"end-to-end":[181],"addressing":[184],"issues":[185],"robustness,":[187],"parallelism,":[188],"stability.":[191],"Extensive":[192],"experiments":[193],"real-world":[195],"datasets":[196],"show":[197],"PCRec":[199],"significantly":[200],"outperforms":[201],"current":[203],"state-of-the-art":[204],"methods.":[205],"The":[206],"code":[207],"be":[209],"found":[210],"at":[211],"https://github.com/USTC-StarTeam/PCRec.":[212]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}