{"id":"https://openalex.org/W7138130468","doi":"https://doi.org/10.48550/arxiv.2603.13934","title":"Iterative Semantic Reasoning from Individual to Group Interests for Generative Recommendation with LLMs","display_name":"Iterative Semantic Reasoning from Individual to Group Interests for Generative Recommendation with LLMs","publication_year":2026,"publication_date":"2026-03-14","ids":{"openalex":"https://openalex.org/W7138130468","doi":"https://doi.org/10.48550/arxiv.2603.13934"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.13934","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13934","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":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.13934","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5129704541","display_name":"Xiaofei Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zhu, Xiaofei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129714877","display_name":"Jinfei Chen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Jinfei","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129641581","display_name":"Feiyang Yuan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Feiyang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5129690939","display_name":"Zhou Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Zhou","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5129704541"],"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":0.7768999934196472,"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":0.7768999934196472,"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":0.030899999663233757,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.030700000002980232,"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/leverage","display_name":"Leverage (statistics)","score":0.7117999792098999},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.6162999868392944},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.513700008392334},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4864000082015991},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.47540000081062317},{"id":"https://openalex.org/keywords/iterative-and-incremental-development","display_name":"Iterative and incremental development","score":0.4571000039577484},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.39910000562667847},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.36390000581741333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7312999963760376},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7117999792098999},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.6162999868392944},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.513700008392334},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4864000082015991},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.47540000081062317},{"id":"https://openalex.org/C143587482","wikidata":"https://www.wikidata.org/wiki/Q1543216","display_name":"Iterative and incremental development","level":2,"score":0.4571000039577484},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.39910000562667847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38089999556541443},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.36390000581741333},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C90312973","wikidata":"https://www.wikidata.org/wiki/Q7449052","display_name":"Semantic data model","level":2,"score":0.35350000858306885},{"id":"https://openalex.org/C130318100","wikidata":"https://www.wikidata.org/wiki/Q2268914","display_name":"Semantic similarity","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2881999909877777},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.27799999713897705},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2687999904155731},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2628999948501587},{"id":"https://openalex.org/C180872759","wikidata":"https://www.wikidata.org/wiki/Q874405","display_name":"Social group","level":2,"score":0.2628999948501587},{"id":"https://openalex.org/C52146309","wikidata":"https://www.wikidata.org/wiki/Q7431116","display_name":"Schema (genetic algorithms)","level":2,"score":0.2581000030040741},{"id":"https://openalex.org/C6881194","wikidata":"https://www.wikidata.org/wiki/Q7449091","display_name":"Semantic technology","level":4,"score":0.25600001215934753},{"id":"https://openalex.org/C2778180026","wikidata":"https://www.wikidata.org/wiki/Q18378163","display_name":"Semantic heterogeneity","level":4,"score":0.25270000100135803}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.13934","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13934","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":"doi:10.48550/arxiv.2603.13934","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.13934","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":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.6085420250892639,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recommendation":[0],"systems":[1],"aim":[2],"to":[3,21,58,79,100,133],"learn":[4],"user":[5,33,36,43,119,131,140,184],"interests":[6,44,57,83,87,137,153,165],"from":[7,54],"historical":[8],"behaviors":[9],"and":[10,23,29,84,105,127,175,182,193],"deliver":[11],"relevant":[12],"items.":[13],"Recent":[14],"methods":[15],"leverage":[16],"large":[17],"language":[18],"models":[19],"(LLMs)":[20],"construct":[22,128],"integrate":[24],"semantic":[25,48,52,102,108,118,124],"representations":[26],"of":[27,138,158],"users":[28],"items":[30],"for":[31,73],"capturing":[32,111],"interests.":[34,61,114],"However,":[35],"behavior":[37],"theories":[38],"suggest":[39],"that":[40,197],"truly":[41],"understanding":[42],"requires":[45],"not":[46],"only":[47],"integration":[49],"but":[50],"also":[51],"reasoning":[53,96],"explicit":[55,81,113,152],"individual":[56,82,151,168],"implicit":[59,85,136,160,164],"group":[60,86,159,163],"To":[62],"this":[63],"end,":[64],"we":[65,92,116,143],"propose":[66],"an":[67,145],"Iterative":[68],"Semantic":[69],"Reasoning":[70],"Framework":[71],"(ISRF)":[72],"generative":[74],"recommendation.":[75],"ISRF":[76,198],"leverages":[77],"LLMs":[78],"bridge":[80],"in":[88],"three":[89],"steps.":[90],"First,":[91],"perform":[93],"multi-step":[94],"bidirectional":[95],"over":[97],"item":[98,103,125],"attributes":[99],"infer":[101,134],"features":[104,120,126],"build":[106],"a":[107,129],"interaction":[109],"graph":[110,132],"users'":[112],"Second,":[115],"generate":[117],"based":[121],"on":[122,189],"the":[123,135,156,190],"similarity-based":[130],"similar":[139],"groups.":[141],"Third,":[142],"adopt":[144],"iterative":[146,171],"batch":[147],"optimization":[148],"strategy,":[149],"where":[150],"directly":[154],"guide":[155],"refinement":[157],"interests,":[161],"while":[162],"indirectly":[166],"enhance":[167],"modeling.":[169],"This":[170],"process":[172],"ensures":[173],"consistent":[174],"progressive":[176],"interest":[177,185],"reasoning,":[178],"enabling":[179],"more":[180],"accurate":[181],"comprehensive":[183],"learning.":[186],"Extensive":[187],"experiments":[188],"Sports,":[191],"Beauty,":[192],"Toys":[194],"datasets":[195],"demonstrate":[196],"outperforms":[199],"state-of-the-art":[200],"baselines.":[201],"The":[202],"code":[203],"is":[204],"available":[205],"at":[206],"https://github.com/htired/ISRF.":[207]},"counts_by_year":[],"updated_date":"2026-03-18T06:31:55.123368","created_date":"2026-03-18T00:00:00"}
