{"id":"https://openalex.org/W2514432237","doi":"https://doi.org/10.1145/2959100.2959140","title":"Exploring the Value of Personality in Predicting Rating Behaviors","display_name":"Exploring the Value of Personality in Predicting Rating Behaviors","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2514432237","doi":"https://doi.org/10.1145/2959100.2959140","mag":"2514432237"},"language":"en","primary_location":{"id":"doi:10.1145/2959100.2959140","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2959100.2959140","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2959140&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=2959140&type=pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032495160","display_name":"Raghav Pavan Karumur","orcid":"https://orcid.org/0000-0003-4887-8843"},"institutions":[{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]},{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raghav Pavan Karumur","raw_affiliation_strings":["University of Minnesota, Twin Cities, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Twin Cities, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696033","display_name":"Tien Thanh Nguyen","orcid":"https://orcid.org/0000-0002-7107-5611"},"institutions":[{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]},{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tien T. Nguyen","raw_affiliation_strings":["University of Minnesota, Twin Cities, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Twin Cities, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037387341","display_name":"Joseph A. Konstan","orcid":"https://orcid.org/0000-0002-7788-2748"},"institutions":[{"id":"https://openalex.org/I4210101327","display_name":"Twin Cities Orthopedics","ror":"https://ror.org/01en4s460","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210101327"]},{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph A. Konstan","raw_affiliation_strings":["University of Minnesota, Twin Cities, Minneapolis, MN, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Twin Cities, Minneapolis, MN, USA","institution_ids":["https://openalex.org/I4210101327","https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032495160"],"corresponding_institution_ids":["https://openalex.org/I130238516","https://openalex.org/I4210101327"],"apc_list":null,"apc_paid":null,"fwci":5.7489,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.95621729,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"139","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11040","display_name":"Personality Traits and Psychology","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11040","display_name":"Personality Traits and Psychology","score":0.9958000183105469,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11705","display_name":"Gambling Behavior and Treatments","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/3203","display_name":"Clinical Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9444000124931335,"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/agreeableness","display_name":"Agreeableness","score":0.890627384185791},{"id":"https://openalex.org/keywords/personality","display_name":"Personality","score":0.8136570453643799},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.691757321357727},{"id":"https://openalex.org/keywords/big-five-personality-traits","display_name":"Big Five personality traits","score":0.5570533871650696},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.5478033423423767},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5247681140899658},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.37066709995269775},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3231216073036194},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.3222309947013855},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28717145323753357},{"id":"https://openalex.org/keywords/extraversion-and-introversion","display_name":"Extraversion and introversion","score":0.1286424696445465},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1211080551147461},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09132248163223267}],"concepts":[{"id":"https://openalex.org/C170760736","wikidata":"https://www.wikidata.org/wiki/Q380358","display_name":"Agreeableness","level":5,"score":0.890627384185791},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.8136570453643799},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.691757321357727},{"id":"https://openalex.org/C2865642","wikidata":"https://www.wikidata.org/wiki/Q378132","display_name":"Big Five personality traits","level":3,"score":0.5570533871650696},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.5478033423423767},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5247681140899658},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.37066709995269775},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3231216073036194},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3222309947013855},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28717145323753357},{"id":"https://openalex.org/C127816348","wikidata":"https://www.wikidata.org/wiki/Q127588","display_name":"Extraversion and introversion","level":4,"score":0.1286424696445465},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1211080551147461},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09132248163223267}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2959100.2959140","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2959100.2959140","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2959140&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/2959100.2959140","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2959100.2959140","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=2959140&type=pdf","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1131347733","display_name":null,"funder_award_id":"1319382","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G1436238478","display_name":null,"funder_award_id":"IIS-1319382","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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/W2514432237.pdf","grobid_xml":"https://content.openalex.org/works/W2514432237.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W44611163","https://openalex.org/W94947038","https://openalex.org/W192579741","https://openalex.org/W606553535","https://openalex.org/W824735665","https://openalex.org/W1600716602","https://openalex.org/W1856927393","https://openalex.org/W1858195100","https://openalex.org/W1963634790","https://openalex.org/W2064303302","https://openalex.org/W2071559616","https://openalex.org/W2092927169","https://openalex.org/W2111621157","https://openalex.org/W2116354394","https://openalex.org/W2138036987","https://openalex.org/W2151588051","https://openalex.org/W2162090451","https://openalex.org/W2282738454","https://openalex.org/W2400574415","https://openalex.org/W2408339918","https://openalex.org/W2474150557","https://openalex.org/W2492226029"],"related_works":["https://openalex.org/W1657011257","https://openalex.org/W3184619806","https://openalex.org/W3122603204","https://openalex.org/W4387052167","https://openalex.org/W4388296638","https://openalex.org/W2762410601","https://openalex.org/W4322738848","https://openalex.org/W2256992190","https://openalex.org/W1778273553","https://openalex.org/W2586362949"],"abstract_inverted_index":{"Prior":[0],"work":[1],"relevant":[2],"to":[3,52,102,111,154],"incorporating":[4,42],"personality":[5,30,43,54,95,107,167],"into":[6,10,44],"recommender":[7,80,115],"systems":[8],"falls":[9],"two":[11],"categories:":[12],"social":[13],"science":[14,20],"studies":[15,21],"and":[16,31,91,174],"algorithmic":[17,35],"ones.":[18],"Social":[19],"of":[22,177],"preference":[23,87],"have":[24],"found":[25,37],"only":[26],"small":[27],"relationships":[28],"between":[29,169],"category":[32],"preferences,":[33],"whereas,":[34],"approaches":[36],"a":[38,47,78,150],"little":[39],"improvement":[40],"when":[41],"recommendations.":[45],"As":[46],"result,":[48],"despite":[49],"good":[50],"reasons":[51],"believe":[53],"assessments":[55],"should":[56],"be":[57,125],"useful":[58],"in":[59,86,114,127,162,164],"recommenders,":[60],"we":[61,72,100,137],"are":[62],"left":[63],"with":[64,74],"no":[65],"substantial":[66],"demonstrated":[67],"impact.":[68],"In":[69],"this":[70],"work,":[71],"start":[73],"user":[75],"data":[76],"from":[77],"live":[79],"system,":[81],"but":[82],"study":[83],"category-by-category":[84],"variations":[85],"(both":[88],"rating":[89],"levels":[90,176],"distribution)":[92],"across":[93],"different":[94,166],"types.":[96],"By":[97],"doing":[98],"this,":[99],"hope":[101],"isolate":[103],"specific":[104],"areas":[105],"where":[106],"is":[108],"most":[109],"likely":[110],"provide":[112],"value":[113],"systems,":[116],"while":[117],"also":[118,159],"modeling":[119],"an":[120],"analytic":[121],"process":[122],"that":[123,139,178],"can":[124],"used":[126],"other":[128],"domains.":[129],"After":[130],"controlling":[131],"for":[132],"the":[133],"family-wise":[134],"error":[135],"rate,":[136],"find":[138,160],"High":[140],"Agreeableness":[141,156],"users":[142],"rate":[143],"at":[144],"least":[145],"0.5":[146],"stars":[147],"higher":[148],"on":[149],"5-star":[151],"scale":[152],"compared":[153],"low":[155,175],"users.":[157],"We":[158],"differences":[161],"consumption":[163],"four":[165],"types":[168],"people":[170],"who":[171],"manifested":[172],"high":[173],"personality.":[179]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
