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In order to produce recommendations it applies the results achieved in the personality from the text recognition research field to Personality-based Recommender System user profile modelling. In this way it creates a bridge between the efforts of automatic personality score estimation from plain text and the field of Intelligent Recommender Systems. The paper describes the TWIN system architecture, and results of the experimentation with the system in the online travelling domain in order to investigate the possibility of providing valuable recommendations of hotels of the TripAdvisor website for \u201clike-minded people\u201d. The results compare favourably with related experiments, although they demonstrate the complexity of this challenging task.<\/jats:p>","DOI":"10.3233\/ifs-141484","type":"journal-article","created":{"date-parts":[[2015,7,1]],"date-time":"2015-07-01T11:36:04Z","timestamp":1435750564000},"page":"2059-2071","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":26,"title":["TWIN: Personality-based Intelligent Recommender System"],"prefix":"10.1177","volume":"28","author":[{"given":"Alexandra","family":"Roshchina","sequence":"first","affiliation":[{"name":"Social Media Research Group, Institute of Technology Tallaght Dublin, Ireland"}]},{"given":"John","family":"Cardiff","sequence":"additional","affiliation":[{"name":"Social Media Research Group, Institute of Technology Tallaght Dublin, Ireland"}]},{"given":"Paolo","family":"Rosso","sequence":"additional","affiliation":[{"name":"NLE Lab.-PRHLT Research Center, Universitat Politecnica de Valencia, Spain"}]}],"member":"179","published-online":{"date-parts":[[2015,6,23]]},"reference":[{"key":"e_1_3_3_2_2","first-page":"51","article-title":"Toward a new generation of personality theories: Theoretical contexts for the five-factor model","author":"McCrae RR","year":"1996","unstructured":"McCraeRRCostaPT1996Toward a new generation of personality theories: Theoretical contexts for the five-factor modelFive Factor Model Personal Theor Percpetives5187","journal-title":"Five Factor Model Personal Theor Percpetives"},{"key":"e_1_3_3_3_2","unstructured":"RicciFRikachLShapiraBKantorP2010Recommender Systems HandbookUSSpringer62"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1509\/jmkr.45.1.077"},{"issue":"4","key":"e_1_3_3_5_2","first-page":"747","article-title":"Analytical appraisal of recommender systems in E-commerce","volume":"2","author":"B V","year":"2012","unstructured":"BVKantS2012Analytical appraisal of recommender systems in E-commerceInt J Comput Sci Inf Technol Secur24747752","journal-title":"Int J Comput Sci Inf Technol Secur"},{"key":"e_1_3_3_6_2","first-page":"17","article-title":"Improving folkrank with item-based collaborative filtering","volume":"532","author":"Gemmell J","year":"2009","unstructured":"GemmellJSchimolerTRamezaniMChristiansenLMobasherB2009Improving folkrank with item-based collaborative filteringCEUR Workshop Proc5321724","journal-title":"CEUR Workshop Proc"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/1327452.1327492"},{"issue":"14","key":"e_1_3_3_8_2","first-page":"33","article-title":"Social popularity based SVD++ recommender system","volume":"87","author":"Kumar R","year":"2014","unstructured":"KumarRVermaBKRastogiSS2014Social popularity based SVD++ recommender systemInt J Comput Appl87143337","journal-title":"Int J Comput Appl"},{"key":"e_1_3_3_9_2","unstructured":"BabakLShiYMarthaLHanjalicA2014Cross-Domain Collaborative Filtering with Factorization MachinesAdvances in Information RetrievalSpringer International Publishing656661"},{"key":"e_1_3_3_10_2","unstructured":"OlssonT2003Bootstrapping and Decentralizing Recommender Systems"},{"key":"e_1_3_3_11_2","doi-asserted-by":"publisher","DOI":"10.14429\/djlit.28.3.174"},{"key":"e_1_3_3_12_2","article-title":"Content-based Recommender Systems: Problems, challenges and research directions","author":"Semeraro G","year":"2010","unstructured":"SemeraroG2010Content-based Recommender Systems: Problems, challenges and research directions8th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems","journal-title":"8th Workshop on Intelligent Techniques for Web Personalization & Recommender Systems"},{"key":"e_1_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1080\/18756891.2013.859861"},{"key":"e_1_3_3_14_2","unstructured":"MathesA2004Folksonomies - 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