{"id":"https://openalex.org/W7139945735","doi":"https://doi.org/10.48550/arxiv.2603.18573","title":"Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation","display_name":"Interplay: Training Independent Simulators for Reference-Free Conversational Recommendation","publication_year":2026,"publication_date":"2026-03-19","ids":{"openalex":"https://openalex.org/W7139945735","doi":"https://doi.org/10.48550/arxiv.2603.18573"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.18573","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18573","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.2603.18573","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044007068","display_name":"Jerome Ramos","orcid":"https://orcid.org/0009-0002-1183-5479"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ramos, Jerome","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130215219","display_name":"Feng Xia","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xia, Feng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130242592","display_name":"Xi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Xi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004223654","display_name":"Shubham Chatterjee","orcid":"https://orcid.org/0000-0002-6729-1346"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chatterjee, Shubham","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130252614","display_name":"Xiao Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fu, Xiao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5130231414","display_name":"Hossein A. Rahmani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rahmani, Hossein A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5130222946","display_name":"Aldo Lipani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lipani, Aldo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"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/T10028","display_name":"Topic Modeling","score":0.3490999937057495,"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":0.3490999937057495,"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":0.14390000700950623,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.058800000697374344,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6675000190734863},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5932000279426575},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.527899980545044},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4528000056743622},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.444599986076355},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.4009999930858612},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.3684000074863434}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8392000198364258},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6675000190734863},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5932000279426575},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.538100004196167},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.527899980545044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46389999985694885},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4528000056743622},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.444599986076355},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.4009999930858612},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.3684000074863434},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.3280999958515167},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3133000135421753},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.3122999966144562},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.30869999527931213},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.2957000136375427},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.2849000096321106},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.2847000062465668},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.2800999879837036},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.2791000008583069},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.2777000069618225},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.25540000200271606}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.18573","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18573","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.2603.18573","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.18573","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":0.6946578621864319,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Training":[0],"conversational":[1,72,133],"recommender":[2,93],"systems":[3],"(CRS)":[4],"requires":[5],"extensive":[6],"dialogue":[7],"data,":[8],"which":[9],"is":[10],"challenging":[11],"to":[12,48,81,94,139,150],"collect":[13],"at":[14],"scale.":[15],"To":[16],"address":[17],"this,":[18],"researchers":[19],"have":[20],"used":[21],"simulated":[22],"user-recommender":[23],"conversations.":[24],"Traditional":[25],"simulation":[26,57],"approaches":[27],"often":[28],"utilize":[29],"a":[30,55,127],"single":[31],"large":[32],"language":[33],"model":[34],"(LLM)":[35],"that":[36,59,109],"generates":[37],"entire":[38],"conversations":[39,108,138],"with":[40],"prior":[41],"knowledge":[42],"of":[43,154],"the":[44,66,71,92,152],"target":[45,83,89,141],"items,":[46,84],"leading":[47],"scripted":[49],"and":[50,68,88,106,147],"artificial":[51],"dialogues.":[52],"We":[53,143],"propose":[54],"reference-free":[56,116,156],"framework":[58],"trains":[60],"two":[61],"independent":[62],"LLMs,":[63],"one":[64,69],"as":[65,70],"user":[67,97],"recommender.":[73],"These":[74],"models":[75],"interact":[76],"in":[77,123],"real-time":[78],"without":[79,136],"access":[80],"predetermined":[82],"but":[85],"preference":[86],"summaries":[87],"attributes,":[90],"enabling":[91],"genuinely":[95],"infer":[96],"preferences":[98],"through":[99],"dialogue.":[100],"This":[101],"approach":[102],"produces":[103],"more":[104],"realistic":[105],"diverse":[107],"closely":[110],"mirror":[111],"authentic":[112],"human-AI":[113],"interactions.":[114],"Our":[115],"simulators":[117],"match":[118],"or":[119],"exceed":[120],"existing":[121],"methods":[122],"quality,":[124],"while":[125],"offering":[126],"scalable":[128],"solution":[129],"for":[130],"generating":[131],"high-quality":[132],"recommendation":[134],"data":[135],"constraining":[137],"pre-defined":[140],"items.":[142],"conduct":[144],"both":[145],"quantitative":[146],"human":[148],"evaluations":[149],"confirm":[151],"effectiveness":[153],"our":[155],"approach.":[157]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-21T00:00:00"}
