{"id":"https://openalex.org/W7164565256","doi":"https://doi.org/10.48550/arxiv.2606.12924","title":"Iterating Toward Better Search: A Two-Agent Simulation Framework for Evaluating Agentic Search Architectures in E-Commerce","display_name":"Iterating Toward Better Search: A Two-Agent Simulation Framework for Evaluating Agentic Search Architectures in E-Commerce","publication_year":2026,"publication_date":"2026-06-11","ids":{"openalex":"https://openalex.org/W7164565256","doi":"https://doi.org/10.48550/arxiv.2606.12924"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.12924","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12924","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":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2606.12924","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5138521910","display_name":"Jetlir Duraj","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Duraj, Jetlir","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138532337","display_name":"Jayanth Yetukuri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yetukuri, Jayanth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138490519","display_name":"Shuang Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Shuang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104940184","display_name":"Dhruv Varma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Varma, Dhruv","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138555075","display_name":"Rui Kong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kong, Rui","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138497947","display_name":"Ishita Khan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Khan, Ishita","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5004163990","display_name":"Qunzhi Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Qunzhi","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/T14074","display_name":"Persona Design and Applications","score":0.8037999868392944,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T14074","display_name":"Persona Design and Applications","score":0.8037999868392944,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.05700000002980232,"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/T13197","display_name":"Spreadsheets and End-User Computing","score":0.013799999840557575,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/correctness","display_name":"Correctness","score":0.6730999946594238},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5594000220298767},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.5396999716758728},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5083000063896179},{"id":"https://openalex.org/keywords/constant","display_name":"Constant (computer programming)","score":0.3901999890804291},{"id":"https://openalex.org/keywords/patience","display_name":"Patience","score":0.3862999975681305}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7142000198364258},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.6730999946594238},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5594000220298767},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.5396999716758728},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5083000063896179},{"id":"https://openalex.org/C2777027219","wikidata":"https://www.wikidata.org/wiki/Q1284190","display_name":"Constant (computer programming)","level":2,"score":0.3901999890804291},{"id":"https://openalex.org/C2779755727","wikidata":"https://www.wikidata.org/wiki/Q15304496","display_name":"Patience","level":2,"score":0.3862999975681305},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37380000948905945},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3345000147819519},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.30379998683929443},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.28439998626708984},{"id":"https://openalex.org/C163164238","wikidata":"https://www.wikidata.org/wiki/Q2737027","display_name":"Failure rate","level":2,"score":0.28119999170303345},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25609999895095825},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.12924","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12924","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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2606.12924","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.12924","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":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,33,86,91],"modular":[3],"two-agent":[4],"simulation":[5],"framework":[6],"for":[7],"evaluating":[8],"conversational":[9],"shopping":[10],"assistant":[11],"architectures.":[12],"An":[13],"independent":[14],"buyer":[15,40],"agent,":[16],"configured":[17],"with":[18,26,32],"personas,":[19],"missions,":[20],"and":[21,100],"patience":[22],"levels,":[23],"is":[24],"paired":[25],"an":[27],"interchangeable":[28],"responder":[29,48,92,112],"that":[30,97],"integrates":[31],"real":[34],"e-commerce":[35],"search":[36],"API.":[37],"Holding":[38],"the":[39,106,111,146],"constant":[41],"across":[42,56,105],"experiments":[43],"enables":[44,94],"controlled":[45],"comparison":[46],"of":[47,90],"designs":[49],"on":[50,71],"identical":[51,123],"scenarios.":[52],"Using":[53],"2011":[54],"conversations":[55],"14":[57],"persona":[58],"buckets,":[59],"we":[60,126],"establish":[61],"four":[62],"empirical":[63],"findings.":[64],"First,":[65],"rolling-window":[66],"memory":[67,70],"outperforms":[68],"intent-extraction":[69],"all":[72],"quality":[73],"metrics":[74],"while":[75,139],"being":[76],"35%":[77],"faster":[78],"per":[79],"query.":[80],"Second,":[81],"illustrating":[82],"rapid":[83],"evidence-driven":[84],"iteration,":[85],"systematic":[87,128],"failure":[88,99],"analysis":[89],"version":[93],"targeted":[95],"fixes":[96],"reduce":[98],"near-failure":[101],"rates":[102],"by":[103],"62%":[104],"full":[107],"dataset.":[108],"Third,":[109],"swapping":[110],"LLM":[113,133],"backbone":[114],"from":[115],"Gemini~2.5":[116],"to":[117],"Llama~3.3~70B":[118],"costs":[119],"0.16--0.45":[120],"points":[121],"despite":[122,144],"architecture.":[124],"Finally,":[125],"document":[127],"philosophical":[129],"disagreement":[130],"between":[131],"frontier":[132],"judges:":[134],"Gemini":[135],"rewards":[136],"process":[137],"correctness":[138],"Claude":[140],"demands":[141],"concrete":[142],"outcomes,":[143],"using":[145],"same":[147],"evaluation":[148],"prompt.":[149]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-06-13T00:00:00"}
