{"id":"https://openalex.org/W4416078630","doi":"https://doi.org/10.1145/3746252.3760817","title":"Multi-Item-Query Attention for Stable Sequential Recommendation","display_name":"Multi-Item-Query Attention for Stable Sequential Recommendation","publication_year":2025,"publication_date":"2025-11-10","ids":{"openalex":"https://openalex.org/W4416078630","doi":"https://doi.org/10.1145/3746252.3760817"},"language":"en","primary_location":{"id":"doi:10.1145/3746252.3760817","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3760817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","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/2509.24424","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061042455","display_name":"Mingshi Xu","orcid":"https://orcid.org/0009-0002-2120-4806"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Mingshi Xu","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong SAR, Hong Kong"],"raw_orcid":"https://orcid.org/0009-0002-2120-4806","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong SAR, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005844143","display_name":"Haoren Zhu","orcid":"https://orcid.org/0000-0001-6184-7641"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Haoren Zhu","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong SAR, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-6184-7641","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong SAR, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067034635","display_name":"Wilfred Ng","orcid":"https://orcid.org/0000-0001-6639-0521"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wilfred Siu Hung Ng","raw_affiliation_strings":["Hong Kong University of Science and Technology, Hong Kong SAR, Hong Kong"],"raw_orcid":"https://orcid.org/0000-0001-6639-0521","affiliations":[{"raw_affiliation_string":"Hong Kong University of Science and Technology, Hong Kong SAR, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3882679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5381","last_page":"5385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9362000226974487,"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":0.9362000226974487,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.011099999770522118,"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":0.008799999952316284,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6266999840736389},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.6126000285148621},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5515000224113464},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.42149999737739563},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3337000012397766},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.2824999988079071}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7646999955177307},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6266999840736389},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.6126000285148621},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5515000224113464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4756999909877777},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4472000002861023},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42559999227523804},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.42149999737739563},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3337000012397766},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.2824999988079071},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.27399998903274536},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.26440000534057617},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3746252.3760817","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746252.3760817","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 34th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2509.24424","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.24424","pdf_url":"https://arxiv.org/pdf/2509.24424","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-168840","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-168840","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":"Conference paper"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2509.24424","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2509.24424","pdf_url":"https://arxiv.org/pdf/2509.24424","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2575006718","https://openalex.org/W2949517518","https://openalex.org/W2953968544","https://openalex.org/W2986377319","https://openalex.org/W3200664681","https://openalex.org/W3204998121","https://openalex.org/W3206127589","https://openalex.org/W4296591831","https://openalex.org/W4296604567","https://openalex.org/W4353115442","https://openalex.org/W4386373060","https://openalex.org/W4386729798"],"related_works":[],"abstract_inverted_index":{"The":[0],"inherent":[1],"instability":[2],"and":[3,46,60],"noise":[4,59],"in":[5],"user":[6,55],"interaction":[7],"data":[8],"challenge":[9],"sequential":[10],"recommendation":[11],"systems.":[12],"Prevailing":[13],"masked":[14],"attention":[15,39],"models,":[16],"relying":[17],"on":[18,83],"a":[19,70],"single":[20],"query":[21,52],"from":[22,54],"the":[23,37],"most":[24],"recent":[25],"item,":[26],"are":[27],"sensitive":[28],"to":[29,42],"this":[30],"noise,":[31],"reducing":[32],"prediction":[33],"reliability.":[34],"We":[35],"propose":[36],"Multi-Item-Query":[38],"mechanism":[40],"(MIQ-Attn)":[41],"enhance":[43],"model":[44],"stability":[45],"accuracy.":[47],"MIQ-Attn":[48,79],"constructs":[49],"multiple":[50],"diverse":[51],"vectors":[53],"interactions,":[56],"effectively":[57],"mitigating":[58],"improving":[61],"consistency.":[62],"It":[63],"is":[64],"designed":[65],"for":[66,73],"easy":[67],"adoption":[68],"as":[69],"drop-in":[71],"replacement":[72],"existing":[74],"single-query":[75],"attention.":[76],"Experiments":[77],"show":[78],"significantly":[80],"improves":[81],"performance":[82],"benchmark":[84],"datasets.":[85]},"counts_by_year":[],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}