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1
Automatic Misogyny Detection in Social Media: a Survey
In: Conference Papers (2019)
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2
Disambiguating Company Names in Microblog Text Using Clustering for Online Reputation Management
In: Articles (2015)
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3
TWIN: Personality-based Intelligent Recommender System
Abstract: This paper presents the Tell me What I Need (TWIN) Personality-based Intelligent Recommender System, the goal of which is to recommend items chosen by like-minded (or twin ) people with similar personality types which we estimate from their writings. 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 like-minded people . The results compare favourably with related experiments, although they demonstrate the complexity of this challenging task. ; The research work of the third author is partially funded by the WIQ-EI (IRSES grant n. 269180) and DIANA APPLICATIONS (TIN2012-38603-C02-01), and done in the framework of the VLC/Campus Microcluster on Multimodal Interaction in Intelligent Systems. ; Roshchina, A.; Cardiff, J.; Rosso, P. (2015). TWIN: Personality-based Intelligent Recommender System. Journal of Intelligent and Fuzzy Systems. 28(5):2059-2071. https://doi.org/10.3233/IFS-141484 ; S ; 2059 ; 2071 ; 28 ; 5 ; Bodapati, A. V. (2008). Recommendation Systems with Purchase Data. Journal of Marketing Research, 45(1), 77-93. doi:10.1509/jmkr.45.1.77 ; Dean, J., & Ghemawat, S. (2008). MapReduce. Communications of the ACM, 51(1), 107. doi:10.1145/1327452.1327492 ; Nageswara Rao, K. (2008). Application Domain and Functional Classification of Recommender Systems—A Survey. DESIDOC Journal of Library & Information Technology, 28(3), 17-35. doi:10.14429/djlit.28.3.174 ; Castro, J., Rodriguez, R. M., & Barranco, M. J. (2013). Weighting of Features in Content-Based Filtering with Entropy and Dependence Measures. International Journal of Computational Intelligence Systems, 7(1), 80-89. doi:10.1080/18756891.2013.859861 ; Cantador, I., Bellogín, A., & Vallet, D. (2010). Content-based recommendation in social tagging systems. Proceedings of the fourth ACM conference on Recommender systems - RecSys ’10. doi:10.1145/1864708.1864756 ; Huang, S. (2011). Designing utility-based recommender systems for e-commerce: Evaluation of preference-elicitation methods. Electronic Commerce Research and Applications, 10(4), 398-407. doi:10.1016/j.elerap.2010.11.003 ; Tkalčič, M., Burnik, U., & Košir, A. (2010). Using affective parameters in a content-based recommender system for images. User Modeling and User-Adapted Interaction, 20(4), 279-311. doi:10.1007/s11257-010-9079-z ; Rentfrow, P. J., & Gosling, S. D. (2003). The do re mi’s of everyday life: The structure and personality correlates of music preferences. Journal of Personality and Social Psychology, 84(6), 1236-1256. doi:10.1037/0022-3514.84.6.1236 ; Elahi, M., Braunhofer, M., Ricci, F., & Tkalcic, M. (2013). Personality-Based Active Learning for Collaborative Filtering Recommender Systems. Lecture Notes in Computer Science, 360-371. doi:10.1007/978-3-319-03524-6_31 ; Tkalcic, M., Odic, A., Kosir, A., & Tasic, J. (2013). Affective Labeling in a Content-Based Recommender System for Images. IEEE Transactions on Multimedia, 15(2), 391-400. doi:10.1109/tmm.2012.2229970 ; Quercia, D., Kosinski, M., Stillwell, D., & Crowcroft, J. (2011). Our Twitter Profiles, Our Selves: Predicting Personality with Twitter. 2011 IEEE Third Int’l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int’l Conference on Social Computing. doi:10.1109/passat/socialcom.2011.26 ; Mairesse, F., Walker, M. A., Mehl, M. R., & Moore, R. K. (2007). Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text. Journal of Artificial Intelligence Research, 30, 457-500. doi:10.1613/jair.2349 ; Golbeck, J., Robles, C., & Turner, K. (2011). Predicting personality with social media. Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems - CHI EA ’11. doi:10.1145/1979742.1979614 ; Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009). The WEKA data mining software. ACM SIGKDD Explorations Newsletter, 11(1), 10. doi:10.1145/1656274.1656278 ; Tausczik, Y. R., & Pennebaker, J. W. (2009). The Psychological Meaning of Words: LIWC and Computerized Text Analysis Methods. Journal of Language and Social Psychology, 29(1), 24-54. doi:10.1177/0261927x09351676 ; Islam, M. J., Wu, Q. M. J., Ahmadi, M., & Sid-Ahmed, M. A. (2007). Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers. 2007 International Conference on Convergence Information Technology (ICCIT 2007). doi:10.1109/iccit.2007.148
Keyword: Borrar Personality-based user model; Intelligent recommender system; LENGUAJES Y SISTEMAS INFORMATICOS; Personality ecognition; Text processing
URL: http://hdl.handle.net/10251/64908
https://doi.org/10.3233/IFS-141484
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4
Identifying Subjective Statements in News Titles Using a Personal Sense Annotation Framework
In: Articles (2013)
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5
Identifying subjective statements in news titles using a personal sense annotation framework
Rosso, Paolo; Cardiff, John; PANICHEVA, POLINA. - : Association for Information Science and Technology (ASIS&T), 2013
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6
Evaluating the Similarity Estimator Component of the TWIN Personality-based Recommender System
In: Conference Papers (2012)
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7
User Profile Construction in the TWIN Personality-based Recommender System
In: Conference Papers (2011)
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8
Personal Sense and Idiolect: Combining Authorship Attribution and Opinion Analysis
In: Conference Papers (2010)
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9
New Trends in Automatic Assessment: Ontology Matching
In: Conference Papers (2010)
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