{"id":"https://openalex.org/W7133614763","doi":"https://doi.org/10.48550/arxiv.2603.03782","title":"DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation","display_name":"DisenReason: Behavior Disentanglement and Latent Reasoning for Shared-Account Sequential Recommendation","publication_year":2026,"publication_date":"2026-03-04","ids":{"openalex":"https://openalex.org/W7133614763","doi":"https://doi.org/10.48550/arxiv.2603.03782"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2603.03782","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128170683","display_name":"Jiawei Cheng","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Cheng, Jiawei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128210361","display_name":"Min Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gao, Min","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128134028","display_name":"Zongwei Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Zongwei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128181432","display_name":"Xiaofei Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhu, Xiaofei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128153077","display_name":"Zhiyi Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Zhiyi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128174335","display_name":"Wentao Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Wentao","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128172166","display_name":"Wei Li (7081)","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Wei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128170134","display_name":"Huan Wu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Huan","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5128170683"],"corresponding_institution_ids":[],"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":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9574999809265137,"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":0.9574999809265137,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.006099999882280827,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.004999999888241291,"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":0.6834999918937683},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5126000046730042},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.48649999499320984},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.3628999888896942},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3463999927043915},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.33559998869895935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8183000087738037},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6834999918937683},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5185999870300293},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5126000046730042},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49160000681877136},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.48649999499320984},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.3628999888896942},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3463999927043915},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.33559998869895935},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3319000005722046},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3158999979496002},{"id":"https://openalex.org/C112933361","wikidata":"https://www.wikidata.org/wiki/Q2845258","display_name":"Probabilistic latent semantic analysis","level":2,"score":0.29490000009536743},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.27630001306533813},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C2778334786","wikidata":"https://www.wikidata.org/wiki/Q1586270","display_name":"Variation (astronomy)","level":2,"score":0.2508000135421753}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2603.03782","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2603.03782","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.03782","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2603.03782","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Shared-account":[0],"usage":[1],"is":[2],"common":[3],"on":[4,186],"streaming":[5],"and":[6,40,161,211],"e-commerce":[7],"platforms,":[8],"where":[9],"multiple":[10],"users":[11,28,82,99,181],"share":[12],"one":[13],"account.":[14,101,135,184],"Existing":[15],"shared-account":[16],"sequential":[17,50],"recommendation":[18,42,51],"(SSR)":[19],"methods":[20],"often":[21],"assume":[22],"a":[23,85,142,159,169],"fixed":[24],"number":[25,79,179],"of":[26,76,80,87,121,132,180,205],"latent":[27,45,81,125,172],"per":[29],"account,":[30],"limiting":[31],"their":[32],"ability":[33],"to":[34,36,64,72,96,147,157,176,207],"adapt":[35],"diverse":[37],"sharing":[38],"patterns":[39],"reducing":[41],"accuracy.":[43],"Recent":[44],"reasoning":[46,111,144,174],"technique":[47],"applied":[48],"in":[49,112,209,213],"(SR)":[52],"generate":[53],"intermediate":[54,88],"embeddings":[55],"from":[56,91,154],"the":[57,74,78,98,103,119,122,129,133,178,183],"user":[58,95,173],"embedding":[59],"(e.g,":[60],"last":[61,104],"item":[62,105],"embedding)":[63],"uncover":[65],"users'":[66],"potential":[67],"interests,":[68],"which":[69,166],"inspires":[70],"us":[71],"treat":[73],"problem":[75],"inferring":[77,92,97],"as":[83,114,168],"generating":[84],"series":[86],"embeddings,":[89],"shifting":[90],"preferences":[93],"behind":[94,100,182],"However,":[102],"cannot":[106],"be":[107],"directly":[108],"used":[109],"for":[110,171],"SSR,":[113],"it":[115],"can":[116],"only":[117],"represent":[118],"behavior":[120,131,151,164],"most":[123],"recent":[124],"user,":[126],"rather":[127],"than":[128],"collective":[130,160],"entire":[134],"To":[136],"address":[137],"this,":[138],"we":[139],"propose":[140],"DisenReason,":[141],"two-stage":[143],"method":[145],"tailored":[146],"SSR.":[148],"DisenReason":[149,192],"combines":[150],"disentanglement":[152],"stage":[153,175],"frequency-domain":[155],"perspective":[156],"create":[158],"unified":[162],"account":[163],"representation,":[165],"serves":[167],"pivot":[170],"infer":[177],"Experiments":[185],"four":[187,199],"benchmark":[188,200],"datasets":[189],"show":[190],"that":[191],"consistently":[193],"outperforms":[194],"all":[195],"state-of-the-art":[196],"baselines":[197],"across":[198],"datasets,":[201],"achieving":[202],"relative":[203],"improvements":[204],"up":[206],"12.56\\%":[208],"MRR@5":[210],"6.06\\%":[212],"Recall@20.":[214]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-03-06T00:00:00"}
