{"id":"https://openalex.org/W7152418891","doi":"https://doi.org/10.1145/3774904.3792123","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":"2026-04-09","ids":{"openalex":"https://openalex.org/W7152418891","doi":"https://doi.org/10.1145/3774904.3792123"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792123","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792123","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792123","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021268896","display_name":"Xiaofei Zhu","orcid":"https://orcid.org/0000-0001-8239-7176"},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaofei Zhu","raw_affiliation_strings":["College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-8239-7176","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129714877","display_name":"Jinfei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfei Chen","raw_affiliation_strings":["College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0006-4518-0684","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129641581","display_name":"Feiyang Yuan","orcid":null},"institutions":[{"id":"https://openalex.org/I50632499","display_name":"Chongqing University of Technology","ror":"https://ror.org/04vgbd477","country_code":"CN","type":"education","lineage":["https://openalex.org/I50632499"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feiyang Yuan","raw_affiliation_strings":["College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0009-5965-3720","affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Chongqing University of Technology, Chongqing, China","institution_ids":["https://openalex.org/I50632499"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5104421166","display_name":"Zhou Yang","orcid":"https://orcid.org/0009-0005-3741-0649"},"institutions":[{"id":"https://openalex.org/I126924076","display_name":"Chongqing Normal University","ror":"https://ror.org/01dcw5w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I126924076"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhou Yang","raw_affiliation_strings":["College of Computer and Information Science, Chongqing Normal University, Chongqing, China"],"raw_orcid":"https://orcid.org/0009-0005-3741-0649","affiliations":[{"raw_affiliation_string":"College of Computer and Information Science, Chongqing Normal University, Chongqing, China","institution_ids":["https://openalex.org/I126924076"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021268896"],"corresponding_institution_ids":["https://openalex.org/I50632499"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.78482346,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5753","last_page":"5763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.49219998717308044,"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"}},"topics":[{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.49219998717308044,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.16120000183582306,"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":0.05649999901652336,"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/generative-grammar","display_name":"Generative grammar","score":0.5408999919891357},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.41659998893737793},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.3662000000476837},{"id":"https://openalex.org/keywords/case-based-reasoning","display_name":"Case-based reasoning","score":0.3610000014305115},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3003000020980835}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5408999919891357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4819999933242798},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46950000524520874},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.3662000000476837},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.3610000014305115},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3361000120639801},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3156999945640564},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3003000020980835},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2856000065803528},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2632000148296356}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3792123","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792123","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792123","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792123","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W4400606525","https://openalex.org/W4402423467","https://openalex.org/W4402671307","https://openalex.org/W4402813390","https://openalex.org/W4404792925","https://openalex.org/W4409365090"],"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":"2026-04-29T09:16:38.111599","created_date":"2026-04-10T00:00:00"}