{"id":"https://openalex.org/W3093656879","doi":"https://doi.org/10.1145/3338244","title":"Predicting Users\u2019 Movie Preference and Rating Behavior from Personality and Values","display_name":"Predicting Users\u2019 Movie Preference and Rating Behavior from Personality and Values","publication_year":2020,"publication_date":"2020-09-30","ids":{"openalex":"https://openalex.org/W3093656879","doi":"https://doi.org/10.1145/3338244","mag":"3093656879"},"language":"en","primary_location":{"id":"doi:10.1145/3338244","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3338244","pdf_url":null,"source":{"id":"https://openalex.org/S4210173818","display_name":"ACM Transactions on Interactive Intelligent Systems","issn_l":"2160-6455","issn":["2160-6455","2160-6463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Interactive Intelligent Systems","raw_type":"journal-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/A5025564502","display_name":"Euna Mehnaz Khan","orcid":"https://orcid.org/0000-0002-0030-7841"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Euna Mehnaz Khan","raw_affiliation_strings":["DataLab, Department of CSE, BUET, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DataLab, Department of CSE, BUET, Dhaka, Bangladesh","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087616870","display_name":"Md. Saddam Hossain Mukta","orcid":"https://orcid.org/0000-0003-2675-5471"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Md. Saddam Hossain Mukta","raw_affiliation_strings":["DataLab, Department of CSE, BUET, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DataLab, Department of CSE, BUET, Dhaka, Bangladesh","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000819439","display_name":"Mohammed Eunus Ali","orcid":"https://orcid.org/0000-0002-0384-7616"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammed Eunus Ali","raw_affiliation_strings":["DataLab, Department of CSE, BUET, Dhaka, Bangladesh"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"DataLab, Department of CSE, BUET, Dhaka, Bangladesh","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111769572","display_name":"Jalal Mahmud","orcid":null},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jalal Mahmud","raw_affiliation_strings":["IBM Research-Almaden, San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research-Almaden, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025564502"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.879,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.9153559,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"10","issue":"3","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11040","display_name":"Personality Traits and Psychology","score":0.991100013256073,"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":0.991100013256073,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9775000214576721,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9627000093460083,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.7874225378036499},{"id":"https://openalex.org/keywords/personality","display_name":"Personality","score":0.6874408721923828},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5292305946350098},{"id":"https://openalex.org/keywords/film-genre","display_name":"Film genre","score":0.5070290565490723},{"id":"https://openalex.org/keywords/big-five-personality-traits","display_name":"Big Five personality traits","score":0.4900919198989868},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4596632719039917},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.45471736788749695},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3683517873287201},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.3554012179374695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21062707901000977},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07156357169151306},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07003968954086304},{"id":"https://openalex.org/keywords/movie-theater","display_name":"Movie theater","score":0.06412771344184875}],"concepts":[{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.7874225378036499},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.6874408721923828},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5292305946350098},{"id":"https://openalex.org/C163999200","wikidata":"https://www.wikidata.org/wiki/Q201658","display_name":"Film genre","level":3,"score":0.5070290565490723},{"id":"https://openalex.org/C2865642","wikidata":"https://www.wikidata.org/wiki/Q378132","display_name":"Big Five personality traits","level":3,"score":0.4900919198989868},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4596632719039917},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.45471736788749695},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3683517873287201},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3554012179374695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21062707901000977},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07156357169151306},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07003968954086304},{"id":"https://openalex.org/C519580073","wikidata":"https://www.wikidata.org/wiki/Q41253","display_name":"Movie theater","level":2,"score":0.06412771344184875},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C52119013","wikidata":"https://www.wikidata.org/wiki/Q50637","display_name":"Art history","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3338244","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3338244","pdf_url":null,"source":{"id":"https://openalex.org/S4210173818","display_name":"ACM Transactions on Interactive Intelligent Systems","issn_l":"2160-6455","issn":["2160-6455","2160-6463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Interactive Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W281665770","https://openalex.org/W1491542233","https://openalex.org/W1596717185","https://openalex.org/W1603698116","https://openalex.org/W1734862221","https://openalex.org/W1867720824","https://openalex.org/W1960683485","https://openalex.org/W1967282477","https://openalex.org/W1971040550","https://openalex.org/W1973871257","https://openalex.org/W1981557600","https://openalex.org/W1988195734","https://openalex.org/W1993220166","https://openalex.org/W2004700292","https://openalex.org/W2009410860","https://openalex.org/W2010486392","https://openalex.org/W2024992851","https://openalex.org/W2025380177","https://openalex.org/W2025605741","https://openalex.org/W2028378463","https://openalex.org/W2030110634","https://openalex.org/W2058818389","https://openalex.org/W2063967799","https://openalex.org/W2064685466","https://openalex.org/W2087615164","https://openalex.org/W2089844253","https://openalex.org/W2100315372","https://openalex.org/W2111621157","https://openalex.org/W2112299454","https://openalex.org/W2117190680","https://openalex.org/W2131796923","https://openalex.org/W2133990480","https://openalex.org/W2134951257","https://openalex.org/W2136944193","https://openalex.org/W2148143831","https://openalex.org/W2151051036","https://openalex.org/W2153803020","https://openalex.org/W2153900863","https://openalex.org/W2164595489","https://openalex.org/W2250539671","https://openalex.org/W2516890214","https://openalex.org/W2532755691","https://openalex.org/W2538482063","https://openalex.org/W2728407379","https://openalex.org/W2738681903","https://openalex.org/W2758099062","https://openalex.org/W2774363535","https://openalex.org/W2900738887","https://openalex.org/W2900862051","https://openalex.org/W2911964244","https://openalex.org/W3175615241"],"related_works":["https://openalex.org/W2090624569","https://openalex.org/W2358230867","https://openalex.org/W4381329258","https://openalex.org/W2891635047","https://openalex.org/W2090638348","https://openalex.org/W2181148280","https://openalex.org/W4252225730","https://openalex.org/W2368374794","https://openalex.org/W2392111542","https://openalex.org/W2796384540"],"abstract_inverted_index":{"In":[0,56,79,138],"this":[1,30,57],"article,":[2],"we":[3,59,81,103,142],"propose":[4],"novel":[5],"techniques":[6],"to":[7,67,107,213],"predict":[8,83,108],"a":[9,84,175],"user\u2019s":[10,85],"movie":[11,77,86,110,119,130,155,159,195],"genre":[12,87,120,156,196],"preference":[13],"and":[14,45,65,75,92,118,121,148,151,158,197],"rating":[15,111,131,160,198],"behavior":[16,112],"from":[17,22,33,89,99,113,124],"her":[18,100,114],"psycholinguistic":[19],"attributes":[20,41,74],"obtained":[21],"the":[23,90,96,129,135,139,144,170,193],"social":[24],"media":[25],"interactions.":[26],"The":[27,201],"motivation":[28],"of":[29,95,146,174],"work":[31],"comes":[32],"various":[34],"psychological":[35,40,73],"studies":[36],"that":[37,39,164,173,178,205],"demonstrate":[38],"such":[42],"as":[43],"personality":[44,91,147,183],"values":[46,149,185],"can":[47],"influence":[48],"one\u2019s":[49],"decision":[50],"or":[51,184],"choice":[52],"in":[53,63,116,210],"real":[54],"life.":[55],"work,":[58],"integrate":[60],"user":[61,97,109,136],"interactions":[62],"Twitter":[64,117],"IMDb":[66],"derive":[68],"interesting":[69],"relations":[70],"between":[71],"human":[72],"their":[76],"preferences.":[78],"particular,":[80],"first":[82],"preferences":[88,123,157],"value":[93],"scores":[94],"derived":[98],"tweets.":[101],"Second,":[102],"also":[104,188],"develop":[105],"models":[106,167,207],"tweets":[115],"storyline":[122],"IMDb.":[125],"We":[126,162,187],"further":[127],"strengthen":[128],"model":[132,177],"by":[133,181],"incorporating":[134],"reviews.":[137],"above":[140],"models,":[141],"investigate":[143],"role":[145],"independently":[150],"combinedly":[152],"while":[153],"predicting":[154],"behaviors.":[161],"find":[163],"our":[165,190,206],"combined":[166],"significantly":[168],"improve":[169],"accuracy":[171],"than":[172],"single":[176],"is":[179],"built":[180],"using":[182],"independently.":[186],"compare":[189],"technique":[191],"with":[192],"traditional":[194],"prediction":[199],"techniques.":[200],"experimental":[202],"results":[203],"show":[204],"are":[208],"effective":[209],"recommending":[211],"movies":[212],"users.":[214]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}