User Personality and the New User Problem in a Context-Aware Point of Interest Recommender System

作者: Matthias Braunhofer , Mehdi Elahi , Francesco Ricci

DOI: 10.1007/978-3-319-14343-9_39

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摘要: … on both MAE and nDCG differences between models revealed that the MAE difference was not significant (p = 0.452), whereas it was statistically significant the difference of nDCG (p = …

参考文章(36)
Mehdi Elahi, Matthias Braunhofer, Francesco Ricci, Marko Tkalcic, Personality-Based Active Learning for Collaborative Filtering Recommender Systems congress of the italian association for artificial intelligence. pp. 360- 371 ,(2013) , 10.1007/978-3-319-03524-6_31
Manuel J. Barranco, José M. Noguera, Jorge Castro, Luis Martínez, A Context-Aware Mobile Recommender System Based on Location and Trajectory IS-MiS. pp. 153- 162 ,(2012) , 10.1007/978-3-642-30864-2_15
Greg Dunn, Jurgen Wiersema, Jaap Ham, Lora Aroyo, Evaluating Interface Variants on Personality Acquisition for Recommender Systems international conference on user modeling adaptation and personalization. pp. 259- 270 ,(2009) , 10.1007/978-3-642-02247-0_25
Matthias Braunhofer, Mehdi Elahi, Francesco Ricci, Thomas Schievenin, Context-Aware Points of Interest Suggestion with Dynamic Weather Data Management Information and Communication Technologies in Tourism 2014. pp. 87- 100 ,(2013) , 10.1007/978-3-319-03973-2_7
Francesco Ricci, Lior Rokach, Bracha Shapira, Introduction to Recommender Systems Handbook Recommender Systems Handbook. pp. 1- 35 ,(2011) , 10.1007/978-0-387-85820-3_1
Gediminas Adomavicius, Bamshad Mobasher, Francesco Ricci, Alexander Tuzhilin, Context-Aware Recommender Systems Ai Magazine. ,vol. 32, pp. 67- 80 ,(2011) , 10.1609/AIMAG.V32I3.2364
Oliver P. John, Sanjay Srivastava, The Big Five Trait taxonomy: History, measurement, and theoretical perspectives. Guilford Press. ,(1999)