{"id":"https://openalex.org/W7154294696","doi":"https://doi.org/10.48550/arxiv.2604.10048","title":"HARPO: Hierarchical Agentic Reasoning for User-Aligned Conversational Recommendation","display_name":"HARPO: Hierarchical Agentic Reasoning for User-Aligned Conversational Recommendation","publication_year":2026,"publication_date":"2026-04-11","ids":{"openalex":"https://openalex.org/W7154294696","doi":"https://doi.org/10.48550/arxiv.2604.10048"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.10048","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10048","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2604.10048","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000685919","display_name":"Subham Raj","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Raj, Subham","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133553240","display_name":"Aman Vaibhav Jha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jha, Aman Vaibhav","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133439953","display_name":"Mayank Anand","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anand, Mayank","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133620147","display_name":"Sriparna Saha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Saha, Sriparna","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000685919"],"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":0.6078000068664551,"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":0.6078000068664551,"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/T10028","display_name":"Topic Modeling","score":0.09139999747276306,"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/T12128","display_name":"AI in Service Interactions","score":0.050700001418590546,"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/recommender-system","display_name":"Recommender system","score":0.5920000076293945},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5638999938964844},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5573999881744385},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.554099977016449},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.49059998989105225},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48260000348091125}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8072999715805054},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.5920000076293945},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5638999938964844},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5573999881744385},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.554099977016449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5023999810218811},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.49059998989105225},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48260000348091125},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.4447000026702881},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3982999920845032},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34850001335144043},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.3278999924659729},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.32519999146461487},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3034999966621399},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3005000054836273},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.2768999934196472},{"id":"https://openalex.org/C20162079","wikidata":"https://www.wikidata.org/wiki/Q1151406","display_name":"Case-based reasoning","level":2,"score":0.2614000141620636}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.10048","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10048","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.10048","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10048","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.5222182869911194,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Conversational":[0],"recommender":[1],"systems":[2,10],"(CRSs)":[3],"operate":[4],"under":[5,15],"incremental":[6],"preference":[7,103],"revelation,":[8],"requiring":[9],"to":[11,42],"make":[12],"recommendation":[13,70,88,98,107,144,164],"decisions":[14],"uncertainty.":[16],"While":[17],"recent":[18],"approaches":[19],"particularly":[20],"those":[21],"built":[22],"on":[23,30,142,171,182],"large":[24],"language":[25],"models":[26],"achieve":[27],"strong":[28,180],"performance":[29],"standard":[31],"proxy":[32],"metrics":[33,184],"such":[34],"as":[35,89],"Recall@K":[36],"and":[37,117,119,150,159,174],"BLEU,":[38],"they":[39],"often":[40],"fail":[41],"deliver":[43],"high-quality,":[44],"user-aligned":[45,197],"recommendations":[46],"in":[47],"practice.":[48],"This":[49],"gap":[50],"arises":[51],"because":[52],"existing":[53],"methods":[54],"primarily":[55],"optimize":[56],"for":[57,96,200],"intermediate":[58],"objectives":[59],"like":[60],"retrieval":[61],"accuracy,":[62],"fluent":[63],"generation,":[64],"or":[65],"tool":[66],"invocation,":[67],"rather":[68,146],"than":[69,147],"quality":[71,108,145,198],"itself.":[72],"We":[73,168],"propose":[74],"HARPO":[75,100,170],"(Hierarchical":[76],"Agentic":[77],"Reasoning":[78],"with":[79],"Preference":[80],"Optimization),":[81],"an":[82],"agentic":[83],"framework":[84],"that":[85,105,136],"reframes":[86],"conversational":[87,201],"a":[90,132],"structured":[91],"decision-making":[92],"process":[93],"explicitly":[94],"optimized":[95],"multi-dimensional":[97],"quality.":[99,189],"integrates":[101],"hierarchical":[102],"learning":[104],"decomposes":[106],"into":[109],"interpretable":[110],"dimensions":[111],"(relevance,":[112],"diversity,":[113],"predicted":[114,143],"user":[115],"satisfaction,":[116],"engagement)":[118],"learns":[120],"context-dependent":[121],"weights":[122],"over":[123,179],"these":[124],"dimensions;":[125],"(ii)":[126],"deliberative":[127],"tree-search":[128],"reasoning":[129,139,153,165],"guided":[130],"by":[131],"learned":[133],"value":[134],"network":[135],"evaluates":[137],"candidate":[138],"paths":[140],"based":[141],"task":[148],"completion;":[149],"(iii)":[151],"domain-agnostic":[152],"abstractions":[154],"through":[155],"Virtual":[156],"Tool":[157],"Operations":[158],"multi-agent":[160],"refinement,":[161],"enabling":[162],"transferable":[163],"across":[166],"domains.":[167],"evaluate":[169],"ReDial,":[172],"INSPIRED,":[173],"MUSE,":[175],"demonstrating":[176],"consistent":[177],"improvements":[178],"baselines":[181],"recommendation-centric":[183],"while":[185],"maintaining":[186],"competitive":[187],"response":[188],"These":[190],"results":[191],"highlight":[192],"the":[193],"importance":[194],"of":[195],"explicit,":[196],"optimization":[199],"recommendation.":[202]},"counts_by_year":[],"updated_date":"2026-04-15T06:04:33.058270","created_date":"2026-04-15T00:00:00"}
