{"id":"https://openalex.org/W4296604560","doi":"https://doi.org/10.1145/3523227.3546783","title":"Self-Supervised Bot Play for Transcript-Free Conversational\u00a0Recommendation\u00a0with\u00a0Rationales","display_name":"Self-Supervised Bot Play for Transcript-Free Conversational\u00a0Recommendation\u00a0with\u00a0Rationales","publication_year":2022,"publication_date":"2022-09-13","ids":{"openalex":"https://openalex.org/W4296604560","doi":"https://doi.org/10.1145/3523227.3546783"},"language":"en","primary_location":{"id":"doi:10.1145/3523227.3546783","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3523227.3546783","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3523227.3546783","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 16th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3523227.3546783","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038066548","display_name":"S. X. Li","orcid":"https://orcid.org/0000-0003-1503-7351"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Shuyang Li","raw_affiliation_strings":["Computer Science and Engineering, UC San Diego, United States"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, UC San Diego, United States","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069912951","display_name":"Bodhisattwa Prasad Majumder","orcid":"https://orcid.org/0009-0000-2691-305X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bodhisattwa Prasad Majumder","raw_affiliation_strings":["Computer Science and Engineering, UC San Diego, United States"],"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, UC San Diego, United States","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021827617","display_name":"Julian McAuley","orcid":"https://orcid.org/0000-0003-0955-7588"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California, San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julian McAuley","raw_affiliation_strings":["UC San Diego, United States"],"affiliations":[{"raw_affiliation_string":"UC San Diego, United States","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5038066548"],"corresponding_institution_ids":["https://openalex.org/I36258959"],"apc_list":null,"apc_paid":null,"fwci":1.8189,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.884015,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"327","last_page":"337"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994999766349792,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9980000257492065,"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":0.8686360120773315},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8349031209945679},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.7817680835723877},{"id":"https://openalex.org/keywords/dialog-system","display_name":"Dialog system","score":0.5352903604507446},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5262904763221741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4087224304676056},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4059663414955139},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3371485471725464},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32727259397506714},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3207167983055115}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8686360120773315},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8349031209945679},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.7817680835723877},{"id":"https://openalex.org/C190954187","wikidata":"https://www.wikidata.org/wiki/Q5270587","display_name":"Dialog system","level":3,"score":0.5352903604507446},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5262904763221741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4087224304676056},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4059663414955139},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3371485471725464},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32727259397506714},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3207167983055115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3523227.3546783","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3523227.3546783","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3523227.3546783","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 16th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3523227.3546783","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3523227.3546783","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3523227.3546783","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 16th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G5055296519","display_name":null,"funder_award_id":"1750063","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4296604560.pdf","grobid_xml":"https://content.openalex.org/works/W4296604560.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1985354288","https://openalex.org/W2001259128","https://openalex.org/W2027731328","https://openalex.org/W2054141820","https://openalex.org/W2089566520","https://openalex.org/W2092795326","https://openalex.org/W2113842233","https://openalex.org/W2114281505","https://openalex.org/W2127173649","https://openalex.org/W2140310134","https://openalex.org/W2152184085","https://openalex.org/W2164777277","https://openalex.org/W2349436533","https://openalex.org/W2573714508","https://openalex.org/W2893359107","https://openalex.org/W2898076813","https://openalex.org/W2973025196","https://openalex.org/W2997662139","https://openalex.org/W3012807747","https://openalex.org/W3034522014","https://openalex.org/W3038439974","https://openalex.org/W3080122044","https://openalex.org/W3088206979","https://openalex.org/W3099865390","https://openalex.org/W3100790518","https://openalex.org/W3161801106","https://openalex.org/W3198082867","https://openalex.org/W3198989421","https://openalex.org/W4213052788","https://openalex.org/W4226280022"],"related_works":["https://openalex.org/W2968737872","https://openalex.org/W2292950558","https://openalex.org/W3174836468","https://openalex.org/W2771609875","https://openalex.org/W2007632780","https://openalex.org/W2803191730","https://openalex.org/W183691245","https://openalex.org/W2180821368","https://openalex.org/W2294170478","https://openalex.org/W337810568"],"abstract_inverted_index":{"Conversational":[0],"recommender":[1,29,68,167],"systems":[2,124],"offer":[3],"a":[4,42,67],"way":[5],"for":[6,45,155],"users":[7,19,55],"to":[8,13,20,34,60,70,86,106,113,145],"engage":[9],"in":[10,117,136],"multi-turn":[11,47,118],"conversations":[12],"find":[14],"items":[15,73],"they":[16],"enjoy.":[17],"For":[18],"trust":[21],"an":[22],"agent":[23],"and":[24,38,74,133,138],"give":[25],"effective":[26],"feedback,":[27],"the":[28,153,162],"system":[30,69,102],"must":[31],"be":[32,104],"able":[33],"explain":[35,75],"its":[36,76],"suggestions":[37,135],"rationales.":[39,80],"We":[40,81],"develop":[41],"two-part":[43],"framework":[44,128,142],"training":[46],"conversational":[48,166],"recommenders":[49],"that":[50,54,100,123,160],"provide":[51,129],"recommendation":[52,108],"rationales":[53],"can":[56,103],"effectively":[57],"interact":[58],"with":[59,126],"receive":[61],"better":[62],"recommendations.":[63],"First,":[64],"we":[65],"train":[66],"jointly":[71],"suggest":[72],"reasoning":[77],"via":[78,91],"subjective":[79],"then":[82],"fine-tune":[83],"this":[84],"model":[85],"incorporate":[87],"iterative":[88],"user":[89],"feedback":[90],"self-supervised":[92],"bot-play.":[93],"Experiments":[94],"on":[95],"three":[96],"real-world":[97],"datasets":[98,159],"demonstrate":[99],"our":[101,127],"applied":[105],"different":[107],"models":[109],"across":[110],"diverse":[111],"domains":[112],"achieve":[114],"state-of-the-art":[115],"performance":[116],"recommendation.":[119],"Human":[120],"studies":[121],"show":[122],"trained":[125],"more":[130],"useful,":[131],"helpful,":[132],"knowledgeable":[134],"warm-":[137],"cold-start":[139],"settings.":[140],"Our":[141],"allows":[143],"us":[144],"use":[146],"only":[147],"product":[148],"reviews":[149],"during":[150],"training,":[151],"avoiding":[152],"need":[154],"expensive":[156],"dialog":[157],"transcript":[158],"limit":[161],"applicability":[163],"of":[164],"previous":[165],"agents.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
