{"id":"https://openalex.org/W7164161261","doi":"https://doi.org/10.1145/3805712.3808503","title":"Beyond Item IDs: Scaling Short-Form-Video Recommendation via Semantic-Native Long Sequence Modeling","display_name":"Beyond Item IDs: Scaling Short-Form-Video Recommendation via Semantic-Native Long Sequence Modeling","publication_year":2026,"publication_date":"2026-07-15","ids":{"openalex":"https://openalex.org/W7164161261","doi":"https://doi.org/10.1145/3805712.3808503"},"language":null,"primary_location":{"id":"doi:10.1145/3805712.3808503","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808503","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":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3805712.3808503","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138391642","display_name":"Ruixiao Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ruixiao Sun","raw_affiliation_strings":["Google, Mountain View, USA"],"raw_orcid":"https://orcid.org/0000-0001-6905-1242","affiliations":[{"raw_affiliation_string":"Google, Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138327609","display_name":"Diego Uribe Mora","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Diego Uribe Mora","raw_affiliation_strings":["Google, Mountain View, USA"],"raw_orcid":"https://orcid.org/0009-0001-7287-188X","affiliations":[{"raw_affiliation_string":"Google, Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002869862","display_name":"Zhimeng Jiang","orcid":"https://orcid.org/0000-0001-6933-3952"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhimeng Jiang","raw_affiliation_strings":["Google, Mountain View, USA"],"raw_orcid":"https://orcid.org/0000-0001-6933-3952","affiliations":[{"raw_affiliation_string":"Google, Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138364701","display_name":"Yuanzhen Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanzhen Lin","raw_affiliation_strings":["Google, Mountain View, USA"],"raw_orcid":"https://orcid.org/0009-0005-5783-7818","affiliations":[{"raw_affiliation_string":"Google, Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138307251","display_name":"Jiarui Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jiarui Wang","raw_affiliation_strings":["Google, Mountain View, USA"],"raw_orcid":"https://orcid.org/0009-0007-2528-7473","affiliations":[{"raw_affiliation_string":"Google, Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101883510","display_name":"Yuening Li","orcid":"https://orcid.org/0000-0003-3849-5523"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuening Li","raw_affiliation_strings":["Google, Mountain View, USA"],"raw_orcid":"https://orcid.org/0000-0003-3849-5523","affiliations":[{"raw_affiliation_string":"Google, Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138298151","display_name":"Danfeng Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danfeng Guo","raw_affiliation_strings":["Google, Mountain View, USA"],"raw_orcid":"https://orcid.org/0000-0002-9023-6169","affiliations":[{"raw_affiliation_string":"Google, Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138317757","display_name":"Zhizhong Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhizhong Chen","raw_affiliation_strings":["Google, Mountain View, USA"],"raw_orcid":"https://orcid.org/0000-0002-4766-1733","affiliations":[{"raw_affiliation_string":"Google, Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138315175","display_name":"Chuan He","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuan He","raw_affiliation_strings":["Google, Mountain View, USA"],"raw_orcid":"https://orcid.org/0009-0005-2116-8851","affiliations":[{"raw_affiliation_string":"Google, Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5138364658","display_name":"Liang Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Liang Liu","raw_affiliation_strings":["Google, Mountain View, USA"],"raw_orcid":"https://orcid.org/0009-0008-1248-1012","affiliations":[{"raw_affiliation_string":"Google, Mountain View, USA","institution_ids":["https://openalex.org/I1291425158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1291425158"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4902","last_page":"4906"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.23849999904632568,"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":0.23849999904632568,"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/T11439","display_name":"Video Analysis and Summarization","score":0.1956000030040741,"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"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.056699998676776886,"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":0.6322000026702881},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6229000091552734},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5425000190734863},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.5343999862670898},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4523000121116638},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.44999998807907104},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.42320001125335693},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.38199999928474426},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.3653999865055084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7588000297546387},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6322000026702881},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6229000091552734},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5425000190734863},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.5343999862670898},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4957999885082245},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4523000121116638},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.44999998807907104},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.42320001125335693},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.38199999928474426},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.3653999865055084},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.3646000027656555},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.3513000011444092},{"id":"https://openalex.org/C127964446","wikidata":"https://www.wikidata.org/wiki/Q1092142","display_name":"Computational resource","level":3,"score":0.3508000075817108},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3447999954223633},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.32679998874664307},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.31859999895095825},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.3158999979496002},{"id":"https://openalex.org/C311688","wikidata":"https://www.wikidata.org/wiki/Q2393193","display_name":"Time complexity","level":2,"score":0.31209999322891235},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31130000948905945},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.31040000915527344},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.2791999876499176},{"id":"https://openalex.org/C202708506","wikidata":"https://www.wikidata.org/wiki/Q7449050","display_name":"Semantic compression","level":5,"score":0.2761000096797943},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2685999870300293},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.26669999957084656},{"id":"https://openalex.org/C2983064736","wikidata":"https://www.wikidata.org/wiki/Q20779668","display_name":"Algorithmic complexity","level":2,"score":0.26570001244544983}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3805712.3808503","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808503","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"},{"id":"pmh:oai:arXiv.org:2606.07546","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2606.07546","pdf_url":"https://arxiv.org/pdf/2606.07546","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3805712.3808503","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3805712.3808503","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":[{"score":0.6515399217605591,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Capturing":[0],"user":[1,79,203],"interests":[2],"across":[3],"extensive":[4],"watch":[5],"histories":[6],"is":[7,17],"critical":[8],"for":[9,76],"short-form":[10],"video":[11],"recommendation,":[12],"yet":[13],"scaling":[14,129],"sequence":[15,59,128,189],"length":[16,60],"limited":[18],"by":[19,92],"two":[20],"bottlenecks:":[21],"the":[22,30,51,57,89,105,127,150,154],"semantic":[23,122],"sparsity":[24],"of":[25,34,54,159],"atomic":[26],"Video":[27,38],"IDs":[28,39],"and":[29,45,65,142,156,176,205],"quadratic":[31,52],"computational":[32,157,181],"complexity":[33,53],"Transformers.":[35],"Traditional":[36],"orthogonal":[37],"fail":[40],"to":[41,117,125,147],"capture":[42],"content":[43,119,207],"relationships":[44],"demand":[46],"large":[47],"embedding":[48,106],"tables,":[49],"while":[50],"self-attention":[55],"restricts":[56],"maximum":[58],"under":[61],"strict":[62],"industrial":[63],"latency":[64],"resource":[66],"constraints.":[67],"In":[68],"this":[69],"work,":[70],"we":[71,103,131],"present":[72],"a":[73,83,133,177],"production-deployed":[74],"framework":[75],"modeling":[77],"ultra-long":[78],"behavior":[80],"sequences":[81],"at":[82,191],"billion-user":[84],"scale.":[85],"We":[86],"first":[87],"address":[88],"representation":[90,114],"bottleneck":[91],"adopting":[93],"content-native":[94],"Semantic":[95,101],"IDs.":[96],"By":[97],"utilizing":[98],"depth-truncated,":[99],"coarse-grained":[100],"IDs,":[102],"shrink":[104],"table":[107],"size":[108],"from":[109],"corpus":[110],"cardinality.":[111],"This":[112,183],"compact":[113],"naturally":[115],"generalizes":[116],"cold-start":[118],"through":[120],"shared":[121],"prefixes.":[123],"Second,":[124],"overcome":[126],"barrier,":[130],"introduce":[132],"Global-Aware":[134],"Compression":[135],"Transformer":[136],"that":[137],"leverages":[138],"non-parametric":[139],"temporal":[140],"folding":[141],"unified":[143],"global":[144],"query":[145],"integration":[146],"effectively":[148],"condense":[149],"sequence,":[151],"alleviating":[152],"both":[153],"memory":[155,174],"bottlenecks":[158],"standard":[160],"self-attention.":[161],"Offline":[162],"profiling":[163],"on":[164],"our":[165],"computing":[166],"infrastructure":[167],"demonstrates":[168],"an":[169,192],"order-of-magnitude":[170],"reduction":[171],"in":[172,180,195,201,209],"peak":[173],"footprint":[175],"drastic":[178],"decrease":[179],"overhead.":[182],"efficiency":[184],"gain":[185],"enables":[186],"supporting":[187],"longer":[188],"lengths":[190],"affordable":[193],"cost":[194],"production,":[196],"yielding":[197],"substantial":[198],"online":[199,211],"gains":[200],"satisfied":[202,206],"engagement":[204],"consumption":[208],"large-scale":[210],"A/B":[212],"tests.":[213]},"counts_by_year":[],"updated_date":"2026-07-17T05:52:16.776730","created_date":"2026-06-11T00:00:00"}