{"id":"https://openalex.org/W2148143268","doi":"https://doi.org/10.1145/1864708.1864771","title":"Increasing consumers' understanding of recommender results","display_name":"Increasing consumers' understanding of recommender results","publication_year":2010,"publication_date":"2010-09-26","ids":{"openalex":"https://openalex.org/W2148143268","doi":"https://doi.org/10.1145/1864708.1864771","mag":"2148143268"},"language":"en","primary_location":{"id":"doi:10.1145/1864708.1864771","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1864708.1864771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourth 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/A5006588347","display_name":"Paul Marx","orcid":"https://orcid.org/0000-0003-4310-9228"},"institutions":[{"id":"https://openalex.org/I51441396","display_name":"Bauhaus-Universit\u00e4t Weimar","ror":"https://ror.org/033bb5z47","country_code":"DE","type":"education","lineage":["https://openalex.org/I51441396"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Paul Marx","raw_affiliation_strings":["Bauhaus-University Weimar, Weimar, Germany"],"affiliations":[{"raw_affiliation_string":"Bauhaus-University Weimar, Weimar, Germany","institution_ids":["https://openalex.org/I51441396"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076529067","display_name":"Thorsten Hennig\u2010Thurau","orcid":"https://orcid.org/0000-0003-1883-8971"},"institutions":[{"id":"https://openalex.org/I22465464","display_name":"University of M\u00fcnster","ror":"https://ror.org/00pd74e08","country_code":"DE","type":"education","lineage":["https://openalex.org/I22465464"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Thorsten Hennig-Thurau","raw_affiliation_strings":["University of Muenster, Muenster, Germany"],"affiliations":[{"raw_affiliation_string":"University of Muenster, Muenster, Germany","institution_ids":["https://openalex.org/I22465464"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088354813","display_name":"Andr\u00e9 Marchand","orcid":"https://orcid.org/0000-0002-2531-9881"},"institutions":[{"id":"https://openalex.org/I51441396","display_name":"Bauhaus-Universit\u00e4t Weimar","ror":"https://ror.org/033bb5z47","country_code":"DE","type":"education","lineage":["https://openalex.org/I51441396"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Marchand","raw_affiliation_strings":["Bauhaus-University Weimar, Weimar, Germany"],"affiliations":[{"raw_affiliation_string":"Bauhaus-University Weimar, Weimar, Germany","institution_ids":["https://openalex.org/I51441396"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006588347"],"corresponding_institution_ids":["https://openalex.org/I51441396"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.17538765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"300"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9925000071525574,"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":0.9818000197410583,"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/recommender-system","display_name":"Recommender system","score":0.9341665506362915},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8344401121139526},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.6895745396614075},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.6227432489395142},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.620684027671814},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.48994794487953186},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.4578366279602051},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.37843307852745056},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35873138904571533},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3342943787574768}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.9341665506362915},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8344401121139526},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.6895745396614075},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.6227432489395142},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.620684027671814},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.48994794487953186},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4578366279602051},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.37843307852745056},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35873138904571533},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3342943787574768},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1864708.1864771","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1864708.1864771","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fourth ACM conference on Recommender systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1491354773","https://openalex.org/W1503433769","https://openalex.org/W1542664738","https://openalex.org/W1738124305","https://openalex.org/W1980202081","https://openalex.org/W1989977256","https://openalex.org/W1996283866","https://openalex.org/W2001530795","https://openalex.org/W2036490790","https://openalex.org/W2047121664","https://openalex.org/W2049670925","https://openalex.org/W2080320419","https://openalex.org/W2085937320","https://openalex.org/W2089566520","https://openalex.org/W2095710701","https://openalex.org/W2096434649","https://openalex.org/W2101686155","https://openalex.org/W2126159342","https://openalex.org/W2128402656","https://openalex.org/W2135805094","https://openalex.org/W2153680437","https://openalex.org/W2622684336","https://openalex.org/W3004157836","https://openalex.org/W3121143546","https://openalex.org/W3124203304","https://openalex.org/W4230841866","https://openalex.org/W4232980324","https://openalex.org/W6701575323"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2735929803","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W135044020","https://openalex.org/W2103058005"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"are":[2],"intended":[3],"to":[4,113,122,154],"assist":[5],"consumers":[6],"by":[7],"making":[8],"choices":[9],"from":[10],"a":[11,46,69,90,137,148],"large":[12],"scope":[13],"of":[14,25,33,51,55,71,92,98,130,150,162],"items.":[15],"While":[16],"most":[17],"recommender":[18,26,115],"research":[19],"focuses":[20],"on":[21,143],"improving":[22],"the":[23,31,65,81,108,144,151,163],"accuracy":[24],"algorithms,":[27],"this":[28],"paper":[29],"stresses":[30],"role":[32],"explanations":[34,54,125],"for":[35,38,75,147,158],"recommended":[36],"items":[37],"gaining":[39],"acceptance":[40],"and":[41,95],"trust.":[42],"Specifically,":[43],"we":[44],"present":[45],"method":[47,63,110],"which":[48,79],"is":[49,111],"capable":[50],"providing":[52],"detailed":[53,124],"recommendations":[56],"while":[57],"exhibiting":[58],"reasonable":[59],"prediction":[60,131],"accuracy.":[61,132],"The":[62],"models":[64],"users'":[66,82],"ratings":[67],"as":[68],"function":[70],"their":[72,99],"utility":[73],"part-worths":[74],"those":[76],"item":[77],"attributes":[78],"influence":[80],"evaluation":[83],"behavior,":[84],"with":[85],"part-worth":[86],"being":[87],"estimated":[88],"through":[89],"set":[91],"auxiliary":[93],"regressions":[94],"constrained":[96],"optimization":[97],"results.":[100],"We":[101,133],"provide":[102,123],"evidence":[103],"that":[104,136],"under":[105],"certain":[106],"conditions":[107],"proposed":[109],"superior":[112],"established":[114],"approaches":[116],"not":[117],"only":[118,157],"regarding":[119],"its":[120],"ability":[121],"but":[126],"also":[127],"in":[128],"terms":[129],"further":[134],"show":[135],"hybrid":[138],"recommendation":[139,156],"algorithm":[140],"can":[141],"rely":[142],"content-based":[145],"component":[146],"majority":[149],"users,":[152],"switching":[153],"collaborative":[155],"about":[159],"one":[160],"third":[161],"user":[164],"base.":[165]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}