{"id":"https://openalex.org/W2151588051","doi":"https://doi.org/10.1145/2043932.2043969","title":"Enhancing collaborative filtering systems with personality information","display_name":"Enhancing collaborative filtering systems with personality information","publication_year":2011,"publication_date":"2011-10-23","ids":{"openalex":"https://openalex.org/W2151588051","doi":"https://doi.org/10.1145/2043932.2043969","mag":"2151588051"},"language":"en","primary_location":{"id":"doi:10.1145/2043932.2043969","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2043932.2043969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fifth 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/A5018590263","display_name":"Rong Hu","orcid":"https://orcid.org/0000-0003-4727-2065"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Rong Hu","raw_affiliation_strings":["HCI Group, Swiss Federal Institute of Technology in Lausanne, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"HCI Group, Swiss Federal Institute of Technology in Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048864545","display_name":"Pearl Pu","orcid":"https://orcid.org/0000-0001-8841-4416"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Pearl Pu","raw_affiliation_strings":["HCI Group, Swiss Federal Institute of Technology in Lausanne, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"HCI Group, Swiss Federal Institute of Technology in Lausanne, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018590263"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":19.8755,"has_fulltext":false,"cited_by_count":160,"citation_normalized_percentile":{"value":0.99121067,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"197","last_page":"204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12720","display_name":"Multimedia Communication and Technology","score":0.9427000284194946,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.882419764995575},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.8687049150466919},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.756542444229126},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7441052198410034},{"id":"https://openalex.org/keywords/cold-start","display_name":"Cold start (automotive)","score":0.6572641134262085},{"id":"https://openalex.org/keywords/personality","display_name":"Personality","score":0.5502033233642578},{"id":"https://openalex.org/keywords/limiting","display_name":"Limiting","score":0.5219799280166626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44982993602752686},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4041902422904968},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.403247594833374},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09741145372390747}],"concepts":[{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.882419764995575},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.8687049150466919},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.756542444229126},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7441052198410034},{"id":"https://openalex.org/C2778956030","wikidata":"https://www.wikidata.org/wiki/Q5142477","display_name":"Cold start (automotive)","level":2,"score":0.6572641134262085},{"id":"https://openalex.org/C187288502","wikidata":"https://www.wikidata.org/wiki/Q641118","display_name":"Personality","level":2,"score":0.5502033233642578},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5219799280166626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44982993602752686},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4041902422904968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.403247594833374},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09741145372390747},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2043932.2043969","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2043932.2043969","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the fifth ACM conference on Recommender systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.550000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320915","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W27688559","https://openalex.org/W179378936","https://openalex.org/W1532852017","https://openalex.org/W1673941785","https://openalex.org/W1757111342","https://openalex.org/W1971040550","https://openalex.org/W1996283866","https://openalex.org/W2013824391","https://openalex.org/W2018597607","https://openalex.org/W2029507558","https://openalex.org/W2084533964","https://openalex.org/W2091067638","https://openalex.org/W2111621157","https://openalex.org/W2117354486","https://openalex.org/W2137728971","https://openalex.org/W2153631993","https://openalex.org/W2154357023","https://openalex.org/W2159094788","https://openalex.org/W2162090451","https://openalex.org/W2169757306","https://openalex.org/W2171960770","https://openalex.org/W2341865734","https://openalex.org/W2912485311","https://openalex.org/W4256433054","https://openalex.org/W6654814059"],"related_works":["https://openalex.org/W1484355083","https://openalex.org/W2772628444","https://openalex.org/W4220714703","https://openalex.org/W2170391450","https://openalex.org/W2098758514","https://openalex.org/W3008845055","https://openalex.org/W2041004656","https://openalex.org/W2358418295","https://openalex.org/W2497939785","https://openalex.org/W2735929803"],"abstract_inverted_index":{"Collaborative":[0],"filtering":[1,28,82],"(CF),":[2],"one":[3,20],"of":[4,26,108,171,178],"the":[5,24,34,47,59,72,80,88,100,115,136,140,158,169,172,179],"most":[6],"successful":[7],"recommendation":[8,92],"approaches,":[9],"continues":[10],"to":[11,121],"attract":[12],"interest":[13],"in":[14,29,144,176],"both":[15,109,123],"academia":[16],"and":[17,111,114,151,183],"industry.":[18],"However,":[19],"key":[21],"issue":[22],"limiting":[23],"success":[25],"collaborative":[27,81],"certain":[30],"application":[31],"domains":[32],"is":[33,42,90,102],"cold-start":[35,73,146],"problem,":[36],"a":[37,91,105,118],"situation":[38],"where":[39],"historical":[40],"data":[41,149],"too":[43],"sparse":[44,148],"(known":[45,57],"as":[46,58],"sparsity":[48],"problem),":[49,62],"new":[50,60,152],"users":[51],"have":[52,130],"not":[53],"rated":[54],"enough":[55],"items":[56],"user":[61],"or":[63],"both.":[64],"In":[65],"this":[66],"paper,":[67],"we":[68,129],"aim":[69],"at":[70],"addressing":[71],"problem":[74],"by":[75],"incorporating":[76],"human":[77],"personality":[78,97,110,164],"into":[79],"framework.":[83],"We":[84],"propose":[85],"three":[86],"approaches:":[87],"first":[89],"method":[93],"based":[94,103],"on":[95,104],"users'":[96],"information":[98],"alone;":[99],"second":[101],"linear":[106],"combination":[107],"rating":[112],"information;":[113],"third":[116],"uses":[117],"cascade":[119],"mechanism":[120],"leverage":[122],"resources.":[124],"To":[125],"evaluate":[126],"their":[127],"effectiveness,":[128],"conducted":[131],"an":[132],"experimental":[133],"study":[134],"comparing":[135],"proposed":[137,159],"approaches":[138],"with":[139],"traditional":[141,173],"rating-based":[142,174],"CF":[143,160,175],"two":[145],"scenarios:":[147],"sets":[150],"users.":[153],"Our":[154],"results":[155],"show":[156],"that":[157],"variations,":[161],"which":[162],"consider":[163],"characteristics,":[165],"can":[166],"significantly":[167],"improve":[168],"performance":[170],"terms":[177],"evaluation":[180],"metrics":[181],"MAE":[182],"ROC":[184],"sensitivity.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":19},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":17},{"year":2015,"cited_by_count":14},{"year":2014,"cited_by_count":11},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":7}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
