{"id":"https://openalex.org/W4389520491","doi":"https://doi.org/10.18653/v1/2023.findings-emnlp.657","title":"Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems","display_name":"Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4389520491","doi":"https://doi.org/10.18653/v1/2023.findings-emnlp.657"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2023.findings-emnlp.657","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.findings-emnlp.657","pdf_url":"https://aclanthology.org/2023.findings-emnlp.657.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2023","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2023.findings-emnlp.657.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007206619","display_name":"Lidiya Murakhovs\u2019ka","orcid":"https://orcid.org/0000-0001-6885-2507"},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lidiya Murakhovs\u2019ka","raw_affiliation_strings":["Salesforce AI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Salesforce AI Research","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050818189","display_name":"Philippe Laban","orcid":"https://orcid.org/0000-0001-9685-3961"},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Philippe Laban","raw_affiliation_strings":["Salesforce AI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Salesforce AI Research","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080045714","display_name":"Tian Xie","orcid":"https://orcid.org/0000-0001-9893-2778"},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tian Xie","raw_affiliation_strings":["Salesforce AI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Salesforce AI Research","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032046813","display_name":"Caiming Xiong","orcid":"https://orcid.org/0000-0003-0349-8628"},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caiming Xiong","raw_affiliation_strings":["Salesforce AI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Salesforce AI Research","institution_ids":["https://openalex.org/I4210155268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066791810","display_name":"Chien-Sheng Wu","orcid":"https://orcid.org/0000-0002-5598-5324"},"institutions":[{"id":"https://openalex.org/I4210155268","display_name":"Salesforce (United States)","ror":"https://ror.org/057315g56","country_code":"US","type":"company","lineage":["https://openalex.org/I4210155268"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chien-Sheng Wu","raw_affiliation_strings":["Salesforce AI Research"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Salesforce AI Research","institution_ids":["https://openalex.org/I4210155268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8158,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79028292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"9823","last_page":"9838"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.989799976348877,"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":0.989799976348877,"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":0.9848999977111816,"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/T12031","display_name":"Speech and dialogue systems","score":0.9506000280380249,"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/computer-science","display_name":"Computer science","score":0.8053726553916931},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7567991018295288},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.6825224757194519},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5587777495384216},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5111680626869202},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5073613524436951},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.48581767082214355},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.4807543456554413},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46374189853668213},{"id":"https://openalex.org/keywords/fluency","display_name":"Fluency","score":0.4605402648448944},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.418472021818161},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3844013214111328},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3687523603439331},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.31315451860427856},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12423455715179443},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12067732214927673}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8053726553916931},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7567991018295288},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.6825224757194519},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5587777495384216},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5111680626869202},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5073613524436951},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.48581767082214355},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.4807543456554413},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46374189853668213},{"id":"https://openalex.org/C2777413886","wikidata":"https://www.wikidata.org/wiki/Q3276013","display_name":"Fluency","level":2,"score":0.4605402648448944},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.418472021818161},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3844013214111328},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3687523603439331},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.31315451860427856},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12423455715179443},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12067732214927673},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2023.findings-emnlp.657","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.findings-emnlp.657","pdf_url":"https://aclanthology.org/2023.findings-emnlp.657.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2023","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2023.findings-emnlp.657","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2023.findings-emnlp.657","pdf_url":"https://aclanthology.org/2023.findings-emnlp.657.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2023","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4389520491.pdf"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W2002714709","https://openalex.org/W2963789888","https://openalex.org/W2963825865","https://openalex.org/W2964112275","https://openalex.org/W2971196067","https://openalex.org/W2998702515","https://openalex.org/W3033540108","https://openalex.org/W3034328025","https://openalex.org/W3035355914","https://openalex.org/W3037038305","https://openalex.org/W3080222975","https://openalex.org/W3104405162","https://openalex.org/W3185784178","https://openalex.org/W3211527163","https://openalex.org/W3213990450","https://openalex.org/W4212975704","https://openalex.org/W4220841150","https://openalex.org/W4224030510","https://openalex.org/W4226118367","https://openalex.org/W4226399820","https://openalex.org/W4282001726","https://openalex.org/W4287180823","https://openalex.org/W4288089799","https://openalex.org/W4290771878","https://openalex.org/W4292423044","https://openalex.org/W4316135709","https://openalex.org/W4317553041","https://openalex.org/W4319793767","https://openalex.org/W4320165837","https://openalex.org/W4322718421","https://openalex.org/W4367060769","https://openalex.org/W4378469989","https://openalex.org/W4385763941","https://openalex.org/W4386607510","https://openalex.org/W4389519254","https://openalex.org/W4389561397"],"related_works":["https://openalex.org/W2098987383","https://openalex.org/W2417260800","https://openalex.org/W2795961259","https://openalex.org/W1596203174","https://openalex.org/W2117933979","https://openalex.org/W4298396513","https://openalex.org/W2283130723","https://openalex.org/W2949169006","https://openalex.org/W3125580266","https://openalex.org/W3092950680"],"abstract_inverted_index":{"Making":[0],"big":[1],"purchases":[2],"requires":[3],"consumers":[4],"to":[5,11,47],"research":[6],"or":[7],"consult":[8],"a":[9,38,62,87],"salesperson":[10],"gain":[12],"domain":[13],"expertise.":[14],"However,":[15],"existing":[16],"conversational":[17,43],"recommender":[18],"systems":[19,72],"(CRS)":[20],"often":[21],"overlook":[22],"users\u2019":[23],"lack":[24],"of":[25,70,89,97,118,142],"background":[26],"knowledge,":[27],"focusing":[28],"solely":[29],"on":[30],"gathering":[31],"preferences.":[32],"In":[33],"this":[34],"work,":[35],"we":[36],"define":[37],"new":[39],"problem":[40],"space":[41],"for":[42],"agents":[44,91],"that":[45,64,92,110],"aim":[46],"provide":[48],"both":[49,133],"product":[50],"recommendations":[51],"and":[52,68,85,120,153],"educational":[53],"value":[54],"through":[55],"mixed-type":[56],"mixed-initiative":[57],"dialog.":[58],"We":[59,82,128,149],"introduce":[60],"SalesOps,":[61],"framework":[63],"facilitates":[65],"the":[66,98,130,140,146],"simulation":[67],"evaluation":[69],"such":[71],"by":[73],"leveraging":[74],"recent":[75],"advancements":[76],"in":[77,116,125,135,145],"large":[78],"language":[79],"models":[80],"(LLMs).":[81],"build":[83],"SalesBot":[84,105,112],"ShopperBot,":[86],"pair":[88],"LLM-powered":[90],"can":[93],"simulate":[94],"either":[95],"side":[96],"framework.":[99],"A":[100],"comprehensive":[101],"human":[102],"study":[103],"compares":[104],"against":[106],"professional":[107,114],"salespeople,":[108],"revealing":[109],"although":[111],"approaches":[113],"performance":[115],"terms":[117],"fluency":[119],"informativeness,":[121],"it":[122],"lags":[123],"behind":[124],"recommendation":[126],"quality.":[127],"emphasize":[129],"distinct":[131],"limitations":[132],"face":[134],"providing":[136],"truthful":[137],"information,":[138],"highlighting":[139],"challenges":[141],"ensuring":[143],"faithfulness":[144],"CRS":[147],"context.":[148],"release":[150],"our":[151],"code":[152],"make":[154],"all":[155],"data":[156],"available.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2024,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
