{"id":"https://openalex.org/W7204206201","doi":"https://doi.org/10.48550/arxiv.2608.21381","title":"PersonaMem-v3: Toward Omni-Platform Personal Intelligence for Holistic User Understanding, Recommendation, and Agentic Tasks","display_name":"PersonaMem-v3: Toward Omni-Platform Personal Intelligence for Holistic User Understanding, Recommendation, and Agentic Tasks","publication_year":2026,"publication_date":"2026-07-16","ids":{"openalex":"https://openalex.org/W7204206201","doi":"https://doi.org/10.48550/arxiv.2608.21381"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2608.21381","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.21381","pdf_url":"https://arxiv.org/pdf/2608.21381","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,"listed_in":[],"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"},"volume":null,"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2608.21381","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139346437","display_name":"Bowen Jiang","orcid":"https://orcid.org/0009-0001-8168-0866","observed_orcids":["https://orcid.org/0009-0001-8168-0866"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Bowen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148056228","display_name":"Yuan Yuan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102690968","display_name":"Zhuoqun Hao","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao, Zhuoqun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148063692","display_name":"Yuchen Liu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yuchen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068080887","display_name":"Maohao Shen","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Maohao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5148161407","display_name":"Sihao Chen","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Sihao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066172831","display_name":"Gregory W. Wornell","orcid":"https://orcid.org/0000-0001-9166-4758","observed_orcids":["https://orcid.org/0000-0001-9166-4758"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wornell, Gregory","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068508539","display_name":"Chris Callison-Burch","orcid":"https://orcid.org/0000-0001-8196-1943","observed_orcids":["https://orcid.org/0000-0001-8196-1943"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Callison-Burch, Chris","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044944954","display_name":"Lyle Ungar","orcid":"https://orcid.org/0000-0003-2047-1443","observed_orcids":["https://orcid.org/0000-0003-2047-1443"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ungar, Lyle","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023802054","display_name":"Dan Roth","orcid":"https://orcid.org/0009-0002-1447-5173","observed_orcids":["https://orcid.org/0009-0002-1447-5173"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roth, Dan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087017450","display_name":"Iordanis Fostiropoulos","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fostiropoulos, Iordanis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157936459","display_name":"Qi Guo","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Qi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5157946806","display_name":"Xiangjun Fan","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Xiangjun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125066457","display_name":"Camillo J. Taylor","orcid":"https://orcid.org/0000-0002-9332-5087","observed_orcids":["https://orcid.org/0000-0002-9332-5087"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Taylor, Camillo J.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5157938279","display_name":"Hanchao Yu","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu, Hanchao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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":0.9970999956130981,"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":0.9970999956130981,"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":0.0007999999797903001,"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/T12128","display_name":"AI in Service Interactions","score":0.00019999999494757503,"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/personal-intelligence","display_name":"personal intelligence","score":0.9580000042915344},{"id":"https://openalex.org/keywords/user-understanding","display_name":"user understanding","score":0.5130000114440918},{"id":"https://openalex.org/keywords/recommender-systems","display_name":"recommender systems","score":0.515999972820282},{"id":"https://openalex.org/keywords/llm-based-agents","display_name":"LLM agents","score":0.7170000076293945},{"id":"https://openalex.org/keywords/benchmark","display_name":"benchmark","score":0.4480000138282776},{"id":"https://openalex.org/keywords/social-media","display_name":"social media","score":0.5540000200271606},{"id":"https://openalex.org/keywords/chatbots","display_name":"chatbots","score":0.7950000166893005},{"id":"https://openalex.org/keywords/ai-companions","display_name":"AI companions","score":0.8050000071525574}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.8392999768257141},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6367999911308289},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5198000073432922},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5097000002861023},{"id":"https://openalex.org/C45801056","wikidata":"https://www.wikidata.org/wiki/Q2273844","display_name":"Social intelligence","level":2,"score":0.49570000171661377},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.47760000824928284},{"id":"https://openalex.org/C201638289","wikidata":"https://www.wikidata.org/wiki/Q457396","display_name":"Ambient intelligence","level":2,"score":0.4537999927997589},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.4226999878883362},{"id":"https://openalex.org/C2779018934","wikidata":"https://www.wikidata.org/wiki/Q1129653","display_name":"Everyday life","level":2,"score":0.4219000041484833},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3846000134944916},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.3763999938964844},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.3433000147342682},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.33980000019073486},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3353999853134155},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33169999718666077},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.31290000677108765},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.2989000082015991},{"id":"https://openalex.org/C2984870255","wikidata":"https://www.wikidata.org/wiki/Q5196451","display_name":"User engagement","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C105409693","wikidata":"https://www.wikidata.org/wiki/Q5937824","display_name":"Human intelligence","level":2,"score":0.28380000591278076},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.2768999934196472},{"id":"https://openalex.org/C4727928","wikidata":"https://www.wikidata.org/wiki/Q17164759","display_name":"Social network (sociolinguistics)","level":3,"score":0.2761000096797943},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.2721000015735626},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.2597000002861023},{"id":"https://openalex.org/C21204594","wikidata":"https://www.wikidata.org/wiki/Q921513","display_name":"Social behavior","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2515000104904175}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2608.21381","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.21381","pdf_url":"https://arxiv.org/pdf/2608.21381","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,"listed_in":[],"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":"doi:10.48550/arxiv.2608.21381","doi":"https://doi.org/10.48550/arxiv.2608.21381","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2608.21381","pdf_url":null,"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,"listed_in":[],"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":false,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2608.21381","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2608.21381","pdf_url":"https://arxiv.org/pdf/2608.21381","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,"listed_in":[],"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":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/9","score":0.5181471109390259,"display_name":"Industry, innovation and infrastructure"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7111091985","https://openalex.org/W7171827720","https://openalex.org/W7170614538","https://openalex.org/W7160901252","https://openalex.org/W7130686652","https://openalex.org/W7162484303","https://openalex.org/W7140323224","https://openalex.org/W4412888617","https://openalex.org/W7155360977","https://openalex.org/W7131821297"],"abstract_inverted_index":{"Personal":[0],"intelligence":[1,48],"is":[2,85],"becoming":[3],"a":[4,50,74],"central":[5],"frontier":[6],"for":[7,80],"user-facing":[8],"AI":[9,149],"agents.":[10],"To":[11],"be":[12,178],"helpful":[13],"in":[14,140],"everyday":[15],"life,":[16],"agents":[17,55,150,190],"must":[18],"understand":[19],"users":[20,209],"across":[21,66,111],"the":[22],"digital":[23,109,212],"contexts":[24],"where":[25],"their":[26,211],"preferences,":[27],"intents,":[28],"habits,":[29],"social":[30,112,164],"relationships,":[31],"and":[32,68,77,102,116,133,143,172,204],"needs":[33],"unfold":[34],"over":[35,121],"time.":[36,122],"Today's":[37],"systems":[38],"can":[39,151],"personalize":[40,159],"within":[41],"individual":[42],"apps":[43],"or":[44,182],"tasks,":[45],"but":[46],"personal":[47,82,188],"as":[49],"whole":[51],"remains":[52],"under-measured:":[53],"how":[54,207],"build":[56],"cross-context":[57],"user":[58,108,154,167],"understanding,":[59],"support":[60],"steerable":[61],"recommendation":[62,196],"systems,":[63],"act":[64],"proactively":[65],"platforms,":[67],"avoid":[69],"over-personalization.":[70],"We":[71],"introduce":[72],"PersonaMem-v3,":[73],"real-world-grounded":[75],"benchmark":[76,124],"evaluation":[78],"harness":[79],"omni-platform":[81],"intelligence.":[83],"PersonaMem-v3":[84,184],"seeded":[86],"from":[87,156],"more":[88,201],"than":[89],"one":[90,137],"million":[91],"anonymized":[92],"real-world":[93],"engagement":[94],"histories,":[95],"most":[96],"of":[97],"which":[98],"are":[99],"implicit":[100],"signals,":[101],"uses":[103],"them":[104],"to":[105],"construct":[106],"time-indexed":[107],"worlds":[110],"media,":[113,165],"chatbot,":[114],"calendar,":[115],"AI-companion":[117],"with":[118,193,206],"preference":[119],"evolvement":[120],"The":[123],"brings":[125],"personalization,":[126],"LLM-powered":[127,187],"recommendation,":[128],"proactiveness,":[129],"agentic":[130],"tool":[131],"use,":[132],"geo-temporal":[134],"reasoning":[135],"into":[136],"framework,":[138],"anchored":[139],"psychology,":[141],"social-linguistics,":[142],"user-behavior":[144],"theories.":[145],"It":[146],"evaluates":[147],"whether":[148],"infer":[152],"holistic":[153],"understanding":[155],"cross-platform":[157],"evidence,":[158],"responses,":[160],"rerank":[161],"recommendations":[162],"on":[163],"follow":[166],"steering":[168],"through":[169],"natural":[170],"language,":[171],"hold":[173],"back":[174],"when":[175],"personalization":[176,200],"would":[177],"inappropriate,":[179],"repetitive,":[180],"outdated,":[181],"unnecessary.":[183],"points":[185],"toward":[186],"intelligent":[189],"that":[191],"work":[192],"existing":[194],"scalable":[195],"infrastructure":[197],"while":[198],"making":[199],"interactive,":[202],"agentic,":[203],"aligned":[205],"real":[208],"experience":[210],"lives.":[213]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-08-26T00:00:00"}