{"id":"https://openalex.org/W7168359990","doi":"https://doi.org/10.1145/3805712.3809653","title":"FAVE: Flow-based Average Velocity Establishment for Sequential Recommendation","display_name":"FAVE: Flow-based Average Velocity Establishment for Sequential Recommendation","publication_year":2026,"publication_date":"2026-07-15","ids":{"openalex":"https://openalex.org/W7168359990","doi":"https://doi.org/10.1145/3805712.3809653"},"language":null,"primary_location":{"id":"doi:10.1145/3805712.3809653","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809653","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805712.3809653","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140869365","display_name":"Ke Shi","orcid":"https://orcid.org/0009-0008-5865-5399"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Shi","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, Sichuan, China and State Key Laboratory of Internet Architecture, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0008-5865-5399","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China and State Key Laboratory of Internet Architecture, Beijing, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140853054","display_name":"Yao Zhang","orcid":"https://orcid.org/0009-0008-5508-2281"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0008-5508-2281","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140905057","display_name":"Feng Guo","orcid":"https://orcid.org/0009-0006-1319-431X"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Guo","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0006-1319-431X","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140772101","display_name":"Jinyuan Zhang","orcid":"https://orcid.org/0009-0002-9097-0563"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyuan Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0002-9097-0563","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140846432","display_name":"JunShuo Zhang","orcid":"https://orcid.org/0009-0008-6195-2618"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JunShuo Zhang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, Sichuan, China"],"raw_orcid":"https://orcid.org/0009-0008-6195-2618","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140894074","display_name":"Shen Gao","orcid":"https://orcid.org/0000-0003-1301-3700"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shen Gao","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, Sichuan, China and State Key Laboratory of Internet Architecture, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-1301-3700","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China and State Key Laboratory of Internet Architecture, Beijing, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5140922287","display_name":"Shuo Shang","orcid":"https://orcid.org/0000-0002-1117-2890"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Shang","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, Sichuan, China and State Key Laboratory of Internet Architecture, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1117-2890","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, Sichuan, China and State Key Laboratory of Internet Architecture, Beijing, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"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":"1633","last_page":"1643"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":null,"topics":[],"keywords":[{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.29750001430511475},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.24940000474452972},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.24899999797344208},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.24320000410079956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47040000557899475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3425000011920929},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33820000290870667},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31450000405311584},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.29750001430511475},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2858999967575073},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2635999917984009},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.24940000474452972},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.24899999797344208},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.24320000410079956}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3805712.3809653","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809653","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3805712.3809653","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3809653","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2027731328","https://openalex.org/W2783272285","https://openalex.org/W2984100107","https://openalex.org/W3045200674","https://openalex.org/W3206127589","https://openalex.org/W4387848554","https://openalex.org/W4390344084","https://openalex.org/W4390412407","https://openalex.org/W4390534655","https://openalex.org/W4392271057","https://openalex.org/W4392384521","https://openalex.org/W4392384596","https://openalex.org/W4396843790","https://openalex.org/W4400527101","https://openalex.org/W4400532459","https://openalex.org/W4404781731","https://openalex.org/W4409237485","https://openalex.org/W4412377048","https://openalex.org/W4412377192","https://openalex.org/W4412377908","https://openalex.org/W4412825900","https://openalex.org/W4412877002","https://openalex.org/W4412877115","https://openalex.org/W4414360571","https://openalex.org/W4415796121","https://openalex.org/W4415798048","https://openalex.org/W4415800536","https://openalex.org/W7133233095","https://openalex.org/W7133239020"],"related_works":[],"abstract_inverted_index":{"Generative":[0],"recommendation":[1,82,208],"has":[2],"emerged":[3],"as":[4],"a":[5,49,72,85,100,110,145,154,170,179,188],"transformative":[6],"paradigm":[7],"for":[8,79,222],"capturing":[9],"the":[10,23,32,93,122,140,151,158,175],"dynamic":[11],"evolution":[12],"of":[13,25],"user":[14],"intents":[15],"in":[16,216],"sequential":[17],"recommendation.":[18],"While":[19],"flow-based":[20],"methods":[21],"improve":[22],"efficiency":[24,141],"diffusion":[26],"models,":[27],"they":[28],"remain":[29],"hindered":[30],"by":[31,143],"''Noise-to-Data''":[33],"paradigm,":[34],"which":[35,149],"introduces":[36],"two":[37],"critical":[38],"inefficiencies:":[39],"prior":[40,91],"mismatch,":[41],"where":[42,56],"generation":[43,81],"starts":[44],"from":[45,88,157],"uninformative":[46],"noise,":[47],"forcing":[48],"lengthy":[50],"recovery":[51],"trajectory;":[52],"and":[53,126,183],"linear":[54],"redundancy,":[55],"iterative":[57],"solvers":[58],"waste":[59],"computation":[60],"on":[61,198],"modeling":[62],"deterministic":[63],"preference":[64,112],"transitions.":[65],"To":[66],"address":[67],"these":[68],"limitations,":[69],"we":[70,108,137,168],"propose":[71],"Flow-based":[73],"Average":[74],"Velocity":[75],"Establishment":[76],"(Fave)":[77],"framework":[78],"one-step":[80,194],"that":[83,202],"learns":[84],"direct":[86],"trajectory":[87,177,185],"an":[89,163,213],"informative":[90,164],"to":[92,130,192],"target":[94,127],"distribution.":[95],"Fave":[96,203],"is":[97,226],"structured":[98],"via":[99,187],"progressive":[101],"two-stage":[102],"training":[103],"strategy.":[104],"In":[105,134],"Stage":[106,135],"1,":[107],"establish":[109],"stable":[111],"space":[113],"through":[114],"dual-end":[115],"semantic":[116,146],"alignment,":[117],"applying":[118],"constraints":[119],"at":[120,228],"both":[121],"source":[123],"(user":[124],"history)":[125],"(next":[128],"item)":[129],"prevent":[131],"representation":[132],"collapse.":[133],"2,":[136],"directly":[138],"resolve":[139],"bottlenecks":[142],"introducing":[144],"anchor":[147],"prior,":[148],"initializes":[150],"flow":[152],"with":[153],"masked":[155],"embedding":[156],"user's":[159],"interaction":[160],"history,":[161],"providing":[162],"starting":[165],"point.":[166],"Then":[167],"learn":[169],"global":[171],"average":[172],"velocity,":[173],"consolidating":[174],"multi-step":[176],"into":[178],"single":[180],"displacement":[181],"vector,":[182],"enforce":[184],"straightness":[186],"JVP-based":[189],"consistency":[190],"constraint":[191],"ensure":[193],"generation.":[195],"Extensive":[196],"experiments":[197],"three":[199],"benchmarks":[200],"demonstrate":[201],"not":[204],"only":[205],"achieves":[206],"state-of-the-art":[207],"performance":[209],"but":[210],"also":[211],"delivers":[212],"order-of-magnitude":[214],"improvement":[215],"inference":[217],"efficiency,":[218],"making":[219],"it":[220],"practical":[221],"latency-sensitive":[223],"scenarios.":[224],"Code":[225],"available":[227],"https://github.com/Blue130/Fave":[229]},"counts_by_year":[],"updated_date":"2026-07-17T05:52:16.776730","created_date":"2026-07-16T00:00:00"}