{"id":"https://openalex.org/W4388367992","doi":"https://doi.org/10.1145/3616855.3635787","title":"Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation","display_name":"Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation","publication_year":2024,"publication_date":"2024-03-04","ids":{"openalex":"https://openalex.org/W4388367992","doi":"https://doi.org/10.1145/3616855.3635787"},"language":"en","primary_location":{"id":"doi:10.1145/3616855.3635787","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616855.3635787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2311.01056","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102566762","display_name":"Tianyu Zhu","orcid":"https://orcid.org/0000-0001-7716-938X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianyu Zhu","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7716-938X","affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048836521","display_name":"Yansong Shi","orcid":"https://orcid.org/0000-0002-4040-8831"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yansong Shi","raw_affiliation_strings":["Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4040-8831","affiliations":[{"raw_affiliation_string":"Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368731","display_name":"Yuan Zhang","orcid":"https://orcid.org/0000-0002-7849-208X"},"institutions":[{"id":"https://openalex.org/I4401726859","display_name":"Kuaishou (China)","ror":"https://ror.org/0258as409","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726859"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Zhang","raw_affiliation_strings":["Kuaishou Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-7849-208X","affiliations":[{"raw_affiliation_string":"Kuaishou Technology, Beijing, China","institution_ids":["https://openalex.org/I4401726859"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100531973","display_name":"Yihong Wu","orcid":"https://orcid.org/0009-0009-2680-4107"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Yihong Wu","raw_affiliation_strings":["Universit\u00e9 de Montr\u00e9al, Montreal, Canada"],"raw_orcid":"https://orcid.org/0009-0009-2680-4107","affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Montr\u00e9al, Montreal, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048033573","display_name":"Fengran Mo","orcid":"https://orcid.org/0000-0002-0838-6994"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fengran Mo","raw_affiliation_strings":["Universit\u00e9 de Montr\u00e9al, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0002-0838-6994","affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Montr\u00e9al, Montreal, Canada","institution_ids":["https://openalex.org/I70931966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018977183","display_name":"Jian\u2010Yun Nie","orcid":"https://orcid.org/0000-0003-1556-3335"},"institutions":[{"id":"https://openalex.org/I70931966","display_name":"Universit\u00e9 de Montr\u00e9al","ror":"https://ror.org/0161xgx34","country_code":"CA","type":"education","lineage":["https://openalex.org/I70931966"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jian-Yun Nie","raw_affiliation_strings":["Universit\u00e9 de Montr\u00e9al, Montreal, Canada"],"raw_orcid":"https://orcid.org/0000-0003-1556-3335","affiliations":[{"raw_affiliation_string":"Universit\u00e9 de Montr\u00e9al, Montreal, Canada","institution_ids":["https://openalex.org/I70931966"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102566762"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":5.968,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.95943685,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1003","last_page":"1011"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":1.0,"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":1.0,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9902999997138977,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9864000082015991,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.820838451385498},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.659679651260376},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6563509702682495},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6319936513900757},{"id":"https://openalex.org/keywords/transition","display_name":"Transition (genetics)","score":0.5244001746177673},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.5052006840705872},{"id":"https://openalex.org/keywords/query-optimization","display_name":"Query optimization","score":0.4171738624572754},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3788360357284546},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36455726623535156},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32466453313827515},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3009389638900757},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2865968942642212}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.820838451385498},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.659679651260376},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6563509702682495},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6319936513900757},{"id":"https://openalex.org/C194232998","wikidata":"https://www.wikidata.org/wiki/Q1606712","display_name":"Transition (genetics)","level":3,"score":0.5244001746177673},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5052006840705872},{"id":"https://openalex.org/C157692150","wikidata":"https://www.wikidata.org/wiki/Q2919848","display_name":"Query optimization","level":2,"score":0.4171738624572754},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3788360357284546},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36455726623535156},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32466453313827515},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3009389638900757},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2865968942642212},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3616855.3635787","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616855.3635787","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 17th ACM International Conference on Web Search and Data Mining","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2311.01056","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.01056","pdf_url":"https://arxiv.org/pdf/2311.01056","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:2311.01056","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2311.01056","pdf_url":"https://arxiv.org/pdf/2311.01056","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":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.5099999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334506","display_name":"Canadian Institutes of Health Research","ror":"https://ror.org/01gavpb45"},{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320334617","display_name":"Social Sciences and Humanities Research Council of Canada","ror":"https://ror.org/04j5jqy92"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388367992.pdf"},"referenced_works_count":44,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1821462560","https://openalex.org/W2027731328","https://openalex.org/W2095705004","https://openalex.org/W2171279286","https://openalex.org/W2723293840","https://openalex.org/W2734755249","https://openalex.org/W2783272285","https://openalex.org/W2783944588","https://openalex.org/W2808847742","https://openalex.org/W2896457183","https://openalex.org/W2937556626","https://openalex.org/W2951780535","https://openalex.org/W2963367478","https://openalex.org/W2964015378","https://openalex.org/W2964044287","https://openalex.org/W2964296635","https://openalex.org/W2984100107","https://openalex.org/W2996931760","https://openalex.org/W2997823717","https://openalex.org/W3004305766","https://openalex.org/W3004578093","https://openalex.org/W3026347803","https://openalex.org/W3032898959","https://openalex.org/W3044893918","https://openalex.org/W3045200674","https://openalex.org/W3065542300","https://openalex.org/W3083606581","https://openalex.org/W3098649723","https://openalex.org/W3100260481","https://openalex.org/W3100917752","https://openalex.org/W3133849783","https://openalex.org/W3155097957","https://openalex.org/W3194671304","https://openalex.org/W3206127589","https://openalex.org/W4220974940","https://openalex.org/W4224325975","https://openalex.org/W4283205337","https://openalex.org/W4283702870","https://openalex.org/W4292419518","https://openalex.org/W4297971002","https://openalex.org/W4299286960","https://openalex.org/W4385245566","https://openalex.org/W4394840362"],"related_works":["https://openalex.org/W2772628444","https://openalex.org/W1484355083","https://openalex.org/W4220714703","https://openalex.org/W2098758514","https://openalex.org/W2735929803","https://openalex.org/W3008845055","https://openalex.org/W2170391450","https://openalex.org/W4376854386","https://openalex.org/W2202724490","https://openalex.org/W2508671622"],"abstract_inverted_index":{"Modern":[0],"recommender":[1],"systems":[2],"employ":[3],"various":[4],"sequential":[5],"modules":[6],"such":[7],"as":[8,42,158],"self-attention":[9,33,92,112],"to":[10,49,64,102,150],"learn":[11,65],"dynamic":[12],"user":[13,28,121],"interests.":[14],"However,":[15],"these":[16,54,72],"methods":[17,55],"are":[18],"less":[19],"effective":[20],"in":[21,119],"capturing":[22],"collaborative":[23,51,104,162],"and":[24,126,152,156],"transitional":[25,154],"signals":[26,155],"within":[27],"interaction":[29],"sequences.":[30],"First,":[31,87],"the":[32,36,43,116,148,171,174],"architecture":[34],"uses":[35],"embedding":[37,134],"of":[38,173],"a":[39,76,110,132,159],"single":[40],"item":[41,67,144],"attention":[44,100],"query,":[45],"making":[46],"it":[47],"challenging":[48],"capture":[50,103],"signals.":[52,105,163],"Second,":[53,129],"typically":[56],"follow":[57],"an":[58,90],"auto-regressive":[59],"framework,":[60],"which":[61,146],"is":[62],"unable":[63],"global":[66,139],"transition":[68,141],"patterns.":[69],"To":[70],"overcome":[71],"limitations,":[73],"we":[74,88,108,130],"propose":[75,89],"new":[77],"method":[78,113],"called":[79],"Multi-Query":[80],"Self-Attention":[81],"with":[82],"Transition-Aware":[83],"Embedding":[84],"Distillation":[85],"(MQSA-TED).":[86],"L-query":[91],"module":[93,136],"that":[94,114,137],"employs":[95],"flexible":[96],"window":[97],"sizes":[98],"for":[99,161],"queries":[101],"In":[106],"addition,":[107],"introduce":[109],"multi-query":[111],"balances":[115],"bias-variance":[117],"trade-off":[118],"modeling":[120],"preferences":[122],"by":[123],"combining":[124],"long":[125],"short-query":[127],"self-attentions.":[128],"develop":[131],"transition-aware":[133],"distillation":[135],"distills":[138],"item-to-item":[140],"patterns":[142],"into":[143],"embeddings,":[145],"enables":[147],"model":[149],"memorize":[151],"leverage":[153],"serves":[157],"calibrator":[160],"Experimental":[164],"results":[165],"on":[166],"four":[167],"real-world":[168],"datasets":[169],"demonstrate":[170],"effectiveness":[172],"proposed":[175],"modules.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2023-11-05T00:00:00"}
