{"id":"https://openalex.org/W2894164702","doi":"https://doi.org/10.1145/3240323.3240364","title":"Eliciting pairwise preferences in recommender systems","display_name":"Eliciting pairwise preferences in recommender systems","publication_year":2018,"publication_date":"2018-09-27","ids":{"openalex":"https://openalex.org/W2894164702","doi":"https://doi.org/10.1145/3240323.3240364","mag":"2894164702"},"language":"en","primary_location":{"id":"doi:10.1145/3240323.3240364","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240323.3240364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","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/A5013835653","display_name":"Saikishore Kalloori","orcid":"https://orcid.org/0000-0002-9669-0602"},"institutions":[{"id":"https://openalex.org/I171543936","display_name":"Free University of Bozen-Bolzano","ror":"https://ror.org/012ajp527","country_code":"IT","type":"education","lineage":["https://openalex.org/I171543936"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Saikishore Kalloori","raw_affiliation_strings":["Free University of Bozen - Bolzano, Italy"],"affiliations":[{"raw_affiliation_string":"Free University of Bozen - Bolzano, Italy","institution_ids":["https://openalex.org/I171543936"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090179530","display_name":"Francesco Ricci\u22c6","orcid":"https://orcid.org/0000-0001-5931-5566"},"institutions":[{"id":"https://openalex.org/I171543936","display_name":"Free University of Bozen-Bolzano","ror":"https://ror.org/012ajp527","country_code":"IT","type":"education","lineage":["https://openalex.org/I171543936"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Ricci","raw_affiliation_strings":["Free University of Bozen - Bolzano, Italy"],"affiliations":[{"raw_affiliation_string":"Free University of Bozen - Bolzano, Italy","institution_ids":["https://openalex.org/I171543936"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040163449","display_name":"Rosella Gennari","orcid":"https://orcid.org/0000-0003-0063-0996"},"institutions":[{"id":"https://openalex.org/I171543936","display_name":"Free University of Bozen-Bolzano","ror":"https://ror.org/012ajp527","country_code":"IT","type":"education","lineage":["https://openalex.org/I171543936"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Rosella Gennari","raw_affiliation_strings":["Free University of Bozen - Bolzano, Italy"],"affiliations":[{"raw_affiliation_string":"Free University of Bozen - Bolzano, Italy","institution_ids":["https://openalex.org/I171543936"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013835653"],"corresponding_institution_ids":["https://openalex.org/I171543936"],"apc_list":null,"apc_paid":null,"fwci":4.7122,"has_fulltext":false,"cited_by_count":27,"citation_normalized_percentile":{"value":0.95584978,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"329","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":0.9995999932289124,"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":0.9995999932289124,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9740999937057495,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9700000286102295,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.9645211696624756},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8522818088531494},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.7974540591239929},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7271580696105957},{"id":"https://openalex.org/keywords/preference-learning","display_name":"Preference learning","score":0.5821632742881775},{"id":"https://openalex.org/keywords/preference-elicitation","display_name":"Preference elicitation","score":0.4776260256767273},{"id":"https://openalex.org/keywords/usability","display_name":"Usability","score":0.4725717604160309},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.46742743253707886},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4091684818267822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3688993453979492},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3267248272895813},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.31568220257759094},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11590713262557983},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11056995391845703}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.9645211696624756},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8522818088531494},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.7974540591239929},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7271580696105957},{"id":"https://openalex.org/C181204326","wikidata":"https://www.wikidata.org/wiki/Q7239820","display_name":"Preference learning","level":3,"score":0.5821632742881775},{"id":"https://openalex.org/C2777868144","wikidata":"https://www.wikidata.org/wiki/Q7239817","display_name":"Preference elicitation","level":3,"score":0.4776260256767273},{"id":"https://openalex.org/C170130773","wikidata":"https://www.wikidata.org/wiki/Q216378","display_name":"Usability","level":2,"score":0.4725717604160309},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.46742743253707886},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4091684818267822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3688993453979492},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3267248272895813},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.31568220257759094},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11590713262557983},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11056995391845703}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3240323.3240364","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3240323.3240364","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.39UBZ_INST:11235263570001241","is_oa":false,"landing_page_url":"https://dl.acm.org/citation.cfm?doid=3240323.3240364","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:unibz.it:11235263570001241","is_oa":false,"landing_page_url":"https://bia.unibz.it/esploro/outputs/conferenceProceeding/Eliciting-pairwise-preferences-in-recommender-systems/991005772686401241","pdf_url":null,"source":{"id":"https://openalex.org/S4210197018","display_name":"View","issn_l":"2688-268X","issn":["2688-268X","2688-3988"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W192167603","https://openalex.org/W987125319","https://openalex.org/W1501049730","https://openalex.org/W1532325895","https://openalex.org/W1556861584","https://openalex.org/W1600549204","https://openalex.org/W1984354219","https://openalex.org/W1995460168","https://openalex.org/W1995905447","https://openalex.org/W2013824391","https://openalex.org/W2018741445","https://openalex.org/W2032191478","https://openalex.org/W2034960640","https://openalex.org/W2049697187","https://openalex.org/W2060854861","https://openalex.org/W2061047349","https://openalex.org/W2065296176","https://openalex.org/W2092927169","https://openalex.org/W2106040789","https://openalex.org/W2118076585","https://openalex.org/W2125330369","https://openalex.org/W2136016921","https://openalex.org/W2147162352","https://openalex.org/W2152521636","https://openalex.org/W2159048649","https://openalex.org/W2162090451","https://openalex.org/W2200988052","https://openalex.org/W2206286878","https://openalex.org/W2206707519","https://openalex.org/W2403486719","https://openalex.org/W2407658457","https://openalex.org/W2441269247","https://openalex.org/W2474664182","https://openalex.org/W2480535768","https://openalex.org/W2508174604","https://openalex.org/W2568933997","https://openalex.org/W2593730734","https://openalex.org/W2600478301","https://openalex.org/W2733771179","https://openalex.org/W2741911961","https://openalex.org/W2908054697","https://openalex.org/W2919815808","https://openalex.org/W3023945813","https://openalex.org/W4213009331","https://openalex.org/W4226280022","https://openalex.org/W4249773509","https://openalex.org/W6635724440"],"related_works":["https://openalex.org/W4243749125","https://openalex.org/W2025932902","https://openalex.org/W1617122252","https://openalex.org/W1515481220","https://openalex.org/W2060303324","https://openalex.org/W1562775108","https://openalex.org/W4206238124","https://openalex.org/W4200207182","https://openalex.org/W3126212998","https://openalex.org/W4206349327"],"abstract_inverted_index":{"Preference":[0],"data":[1,65,90],"in":[2,14],"the":[3,55,67,95,103,123,143,157,167,184,187,192,195],"form":[4,86],"of":[5,63,87,129,151,166,207],"ratings":[6,47,203,208],"or":[7,204],"likes":[8],"for":[9,94,102,194],"items":[10],"are":[11,137,212],"widely":[12],"used":[13,34],"many":[15],"Recommender":[16,56],"Systems.":[17],"However,":[18],"previous":[19],"research":[20],"has":[21],"shown":[22],"that":[23,121,134,176],"even":[24],"item":[25],"comparisons,":[26],"which":[27,199],"generate":[28,160],"pairwise":[29,40,81,135,155,210],"preference":[30,64,89,196],"data,":[31],"can":[32,42,159],"be":[33,43,180],"to":[35,48,59,79,97,125,179],"model":[36],"user":[37,88,96,124,144],"preferences.":[38,130],"Moreover,":[39],"preferences":[41,136,211],"effectively":[44],"combined":[45],"with":[46,118],"compute":[49],"recommendations.":[50],"In":[51,69],"such":[52],"hybrid":[53],"approaches,":[54],"System":[57],"requires":[58],"elicit":[60,80],"both":[61,127],"types":[62,128],"from":[66],"user.":[68],"this":[70,85],"work,":[71],"we":[72],"aim":[73],"at":[74],"identifying":[75],"how":[76],"and":[77,99,111,139,191,209],"when":[78,84,142],"preferences,":[82,156],"i.e.,":[83],"is":[91,145],"more":[92,100],"meaningful":[93],"express":[98],"beneficial":[101],"system.":[104],"We":[105],"conducted":[106],"an":[107],"online":[108],"A/B":[109],"test":[110],"compared":[112],"a":[113,148,164,181,205],"rating-only":[114,169],"based":[115,170],"system":[116,158,189],"variant":[117,120],"another":[119],"allows":[122],"enter":[126],"Our":[131],"results":[132,174],"demonstrate":[133],"valuable":[138],"useful,":[140],"especially":[141],"focusing":[146],"on":[147],"specific":[149],"type":[150],"items.":[152],"By":[153],"incorporating":[154],"better":[161],"recommendations":[162],"than":[163],"state":[165],"art":[168],"solution.":[171],"Additionally,":[172],"our":[173],"indicate":[175],"there":[177],"seems":[178],"dependency":[182],"between":[183],"user's":[185],"personality,":[186],"perceived":[188],"usability":[190],"satisfaction":[193],"elicitation":[197],"procedure,":[198],"varies":[200],"if":[201],"only":[202],"combination":[206],"elicited.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}