{"id":"https://openalex.org/W4380353746","doi":"https://doi.org/10.1145/3539618.3591954","title":"Bayesian Knowledge-driven Critiquing with Indirect Evidence","display_name":"Bayesian Knowledge-driven Critiquing with Indirect Evidence","publication_year":2023,"publication_date":"2023-07-18","ids":{"openalex":"https://openalex.org/W4380353746","doi":"https://doi.org/10.1145/3539618.3591954"},"language":"en","primary_location":{"id":"doi:10.1145/3539618.3591954","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2306.05636","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5012568207","display_name":"Armin Toroghi","orcid":"https://orcid.org/0009-0007-8058-2088"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Armin Toroghi","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0009-0007-8058-2088","affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049658956","display_name":"Griffin Floto","orcid":"https://orcid.org/0009-0009-8552-5650"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Griffin Floto","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0009-0009-8552-5650","affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000021371","display_name":"Zhenwei Tang","orcid":"https://orcid.org/0000-0002-8742-9146"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Zhenwei Tang","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-8742-9146","affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028174137","display_name":"Scott Sanner","orcid":"https://orcid.org/0000-0001-7984-8394"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Scott Sanner","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0001-7984-8394","affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1838","last_page":"1842"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9997000098228455,"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/T11273","display_name":"Advanced Graph Neural Networks","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8401007056236267},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.7534792423248291},{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.6887921094894409},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6082600355148315},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5587632060050964},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.513018786907196},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.45963436365127563},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.4109300971031189},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.37320476770401},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36656826734542847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32720649242401123},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3080192804336548}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8401007056236267},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.7534792423248291},{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.6887921094894409},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6082600355148315},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5587632060050964},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.513018786907196},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.45963436365127563},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.4109300971031189},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.37320476770401},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36656826734542847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32720649242401123},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3080192804336548},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3539618.3591954","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3539618.3591954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2306.05636","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.05636","pdf_url":"https://arxiv.org/pdf/2306.05636","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2306.05636","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2306.05636","pdf_url":"https://arxiv.org/pdf/2306.05636","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4380353746.pdf","grobid_xml":"https://content.openalex.org/works/W4380353746.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W1967812664","https://openalex.org/W2000764607","https://openalex.org/W2042281163","https://openalex.org/W2094728533","https://openalex.org/W2101409192","https://openalex.org/W2129211739","https://openalex.org/W2150886314","https://openalex.org/W2594639291","https://openalex.org/W2792839191","https://openalex.org/W2883722483","https://openalex.org/W2945623882","https://openalex.org/W2963869731","https://openalex.org/W3091993229","https://openalex.org/W3098087397","https://openalex.org/W4295745156"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W2150182025","https://openalex.org/W3092950680","https://openalex.org/W3197542405","https://openalex.org/W2056712470","https://openalex.org/W3125580266","https://openalex.org/W4317039510","https://openalex.org/W4238861846","https://openalex.org/W1657011257"],"abstract_inverted_index":{"Conversational":[0],"recommender":[1,200],"systems":[2],"(CRS)":[3],"enhance":[4],"the":[5,58,75,92,127,153,172],"expressivity":[6],"and":[7,64,135,151,159,216],"personalization":[8],"of":[9,14,36,46,60,129,174,186],"recommendations":[10,30,196],"through":[11],"multiple":[12],"turns":[13],"user-system":[15,118],"interaction.":[16],"Critiquing":[17],"is":[18],"a":[19,87,137,156,198,208,222],"well-known":[20,164],"paradigm":[21,77,210],"for":[22,94,99,211,224],"CRS":[23],"that":[24,142],"allows":[25],"users":[26],"to":[27,48,97,125],"iteratively":[28],"refine":[29],"by":[31,132,201],"providing":[32],"feedback":[33,102,181],"about":[34,67],"attributes":[35,45],"recommended":[37],"items.":[38],"While":[39],"existing":[40],"critiquing":[41,76,225],"methodologies":[42],"utilize":[43],"direct":[44],"items":[47,68,187,191],"address":[49],"user":[50],"requests":[51],"such":[52],"as":[53,221],"'I":[54,104],"prefer":[55],"Western":[56],"movies',":[57],"opportunity":[59],"incorporating":[61],"richer":[62],"contextual":[63],"side":[65,109],"information":[66],"stored":[69],"in":[70,116,177],"Knowledge":[71],"Graphs":[72],"(KG)":[73],"into":[74],"has":[78],"been":[79],"overlooked.":[80],"Employing":[81],"this":[82,121],"substantial":[83],"knowledge":[84,214],"together":[85],"with":[86,145,167,227],"well-established":[88],"reasoning":[89,144,217],"methodology":[90],"paves":[91],"way":[93],"critique-based":[95,130],"recommenders":[96],"allow":[98],"complex":[100],"knowledge-based":[101,147],"(e.g.,":[103],"like":[105],"movies":[106],"featuring":[107],"war":[108],"effects":[110],"on":[111,162],"veterans')":[112],"which":[113],"may":[114],"arise":[115],"natural":[117],"conversations.":[119],"In":[120],"work,":[122],"we":[123],"aim":[124],"increase":[126],"flexibility":[128],"recommendation":[131,165],"integrating":[133],"KGs":[134],"propose":[136],"novel":[138],"Bayesian":[139],"inference":[140],"framework":[141,154,176],"enables":[143,207],"relational":[146,184],"feedback.":[148],"We":[149],"study":[150],"formulate":[152],"considering":[155],"Gaussian":[157],"likelihood":[158],"evaluate":[160],"it":[161],"two":[163],"datasets":[166],"KGs.":[168],"Our":[169],"evaluations":[170],"demonstrate":[171],"effectiveness":[173],"our":[175],"leveraging":[178],"indirect":[179,219],"KG-based":[180],"(i.e.,":[182],"preferred":[183,190],"properties":[185],"rather":[188],"than":[189,203],"themselves),":[192],"often":[193],"improving":[194],"personalized":[195],"over":[197,218],"one-shot":[199],"more":[202],"15%.":[204],"This":[205],"work":[206],"new":[209],"using":[212],"rich":[213],"content":[215],"evidence":[220],"mechanism":[223],"interactions":[226],"CRS.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}