{"id":"https://openalex.org/W4220706004","doi":"https://doi.org/10.1145/3498366.3505789","title":"Generating and Validating Contextually Relevant Justifications for Conversational Recommendation","display_name":"Generating and Validating Contextually Relevant Justifications for Conversational Recommendation","publication_year":2022,"publication_date":"2022-03-12","ids":{"openalex":"https://openalex.org/W4220706004","doi":"https://doi.org/10.1145/3498366.3505789"},"language":"en","primary_location":{"id":"doi:10.1145/3498366.3505789","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3498366.3505789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062032746","display_name":"Sergey Volokhin","orcid":"https://orcid.org/0000-0001-7211-8241"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sergey Volokhin","raw_affiliation_strings":["Emory University, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University, United States","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037775575","display_name":"Marcus D. Collins","orcid":"https://orcid.org/0000-0002-2342-8056"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Marcus Collins","raw_affiliation_strings":["Amazon, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon, United States","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024656386","display_name":"Oleg Rokhlenko","orcid":"https://orcid.org/0000-0002-7158-9161"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oleg Rokhlenko","raw_affiliation_strings":["Amazon, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amazon, United States","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028578280","display_name":"Eugene Agichtein","orcid":"https://orcid.org/0000-0002-3148-5448"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eugene Agichtein","raw_affiliation_strings":["Emory University, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University, United States","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"284","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9980999827384949,"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":0.9925000071525574,"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":0.6151415705680847},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.38909101486206055},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3660639822483063},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.34624484181404114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6151415705680847},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.38909101486206055},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3660639822483063},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.34624484181404114}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3498366.3505789","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3498366.3505789","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGIR Conference on Human Information Interaction and Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1581658097","https://openalex.org/W1690919088","https://openalex.org/W2001892351","https://openalex.org/W2028988057","https://openalex.org/W2045738181","https://openalex.org/W2048045485","https://openalex.org/W2061873838","https://openalex.org/W2081890776","https://openalex.org/W2089566520","https://openalex.org/W2100171245","https://openalex.org/W2116959421","https://openalex.org/W2134584261","https://openalex.org/W2152184085","https://openalex.org/W2275060590","https://openalex.org/W2337403844","https://openalex.org/W2733769132","https://openalex.org/W2739992143","https://openalex.org/W2798435682","https://openalex.org/W2889446948","https://openalex.org/W2950457956","https://openalex.org/W2971196067","https://openalex.org/W2972381032","https://openalex.org/W2973025196","https://openalex.org/W2978889344","https://openalex.org/W3034491755","https://openalex.org/W3046039946","https://openalex.org/W3101366597"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2045456578","https://openalex.org/W2918883224","https://openalex.org/W1993084869","https://openalex.org/W3106945349","https://openalex.org/W3204394973","https://openalex.org/W2278205256","https://openalex.org/W2085642841","https://openalex.org/W2093287941"],"abstract_inverted_index":{"Providing":[0],"a":[1,6,34,52,76,82,86,100,140,197],"justification":[2,141],"or":[3],"explanation":[4],"for":[5,43,106,113],"recommendation":[7],"has":[8],"been":[9],"shown":[10],"to":[11,30,40,62,108,127,161,172,201,223],"improve":[12],"the":[13,25,37,44,64,120,129,144,151,174,216],"users\u2019":[14],"experience":[15],"with":[16,75],"recommender":[17],"systems,":[18],"in":[19,24,28,33,88,147,210],"particular":[20],"by":[21,164],"increasing":[22],"confidence":[23,146],"recommendations.":[26,115],"However,":[27],"order":[29],"be":[31,41,124],"effective":[32],"conversational":[35,114],"setting,":[36],"justifications":[38,112,175],"have":[39],"appropriate":[42],"conversation":[45,121,187,230],"so":[46],"far.":[47],"Previous":[48],"approaches":[49],"rely":[50],"on":[51,232],"user":[53],"history":[54],"of":[55,59,150,169,179],"reviews":[56,171],"and":[57,79,98,138,148,189,212,227],"ratings":[58],"related":[60],"items":[61],"personalize":[63],"recommendation,":[65],"but":[66],"this":[67,94],"information":[68],"is":[69],"not":[70],"generally":[71],"available":[72],"when":[73],"conversing":[74],"new":[77,101],"user,":[78,130],"as":[80],"such":[81],"cold-start":[83],"problem":[84],"imposes":[85],"challenge":[87],"generating":[89],"suitable":[90],"justifications.":[91,203],"To":[92,153,192],"address":[93],"problem,":[95],"we":[96,117,156,184,195],"propose":[97],"validate":[99],"method,":[102],"CONJURE":[103],"(CONversational":[104],"JUstificatons":[105],"REcommendations)":[107],"generate":[109,139],"contextually":[110],"relevant":[111,132],"Specifically,":[116],"investigate":[118],"whether":[119],"itself":[122],"can":[123],"used":[125],"effectively":[126],"model":[128],"identify":[131],"review":[133],"content":[134],"from":[135,176],"other":[136],"users,":[137],"that":[142],"boosts":[143],"user\u2019s":[145],"understanding":[149],"recommendation.":[152],"implement":[154],"CONJURE,":[155,194],"test":[157],"several":[158],"novel":[159],"extensions":[160],"prior":[162],"algorithms,":[163],"exploiting":[165],"an":[166,228],"auxiliary":[167],"corpus":[168,231],"movie":[170],"construct":[173],"extracted":[177],"pieces":[178],"those":[180],"reviews.":[181],"In":[182],"particular,":[183],"explore":[185],"different":[186],"representations":[188],"ranking":[190],"approaches.":[191],"evaluate":[193],"developed":[196],"pairwise":[198],"crowd":[199],"task":[200],"compare":[202],"Our":[204],"results":[205],"show":[206],"large,":[207],"significant":[208],"improvements":[209],"Efficiency":[211],"Transparency":[213],"metrics":[214],"over":[215],"previous":[217],"non-contextualized":[218],"template-based":[219],"methods.":[220],"We":[221],"plan":[222],"release":[224],"our":[225],"code":[226],"augmented":[229],"Github.":[233]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}