Incorporating personality in user interface design: A review

T Alves, J Natálio, J Henriques-Calado… - Personality and Individual …, 2020 - Elsevier
A current topic of Human-Computer Interaction focuses on understanding and assessing
user-centered design taking into account certain psychological factors related to users' …

Effects of personal characteristics in control-oriented user interfaces for music recommender systems

Y **, N Tintarev, NN Htun, K Verbert - User Modeling and User-Adapted …, 2020 - Springer
Music recommender systems typically offer a “one-size-fits-all” approach with the same user
controls and visualizations for all users. However, the effectiveness of interactive interfaces …

Alleviating the new user problem in collaborative filtering by exploiting personality information

I Fernández-Tobías, M Braunhofer, M Elahi… - User Modeling and User …, 2016 - Springer
The new user problem in recommender systems is still challenging, and there is not yet a
unique solution that can be applied in any domain or situation. In this paper we analyze …

Personality and recommender systems

M Tkalčič, L Chen - Recommender systems handbook, 2012 - Springer
Personality, as defined in psychology, accounts for the individual differences in users'
preferences and behaviour. It has been found that there are significant correlations between …

Predicting personality traits with instagram pictures

B Ferwerda, M Schedl, M Tkalcic - Proceedings of the 3rd Workshop on …, 2015 - dl.acm.org
Instagram is a popular social networking application, which allows photo-sharing and
applying different photo filters to adjust the appearance of a picture. By applying photo filters …

Using instagram picture features to predict users' personality

B Ferwerda, M Schedl, M Tkalcic - … , MMM 2016, Miami, FL, USA, January …, 2016 - Springer
Instagram is a popular social networking application, which allows photo-sharing and
applying different photo filters to adjust the appearance of a picture. By applying these filters …

[HTML][HTML] On the problem of recommendation for sensitive users and influential items: simultaneously maintaining interest and diversity

A De Biasio, M Monaro, L Oneto, L Ballan… - Knowledge-Based …, 2023 - Elsevier
Recommender systems, in real-world circumstances, tend to limit user exposure to certain
topics and to overexpose them to others to maximize performance. However, repeated …

Personality traits predict music taxonomy preferences

B Ferwerda, E Yang, M Schedl, M Tkalcic - Proceedings of the 33rd …, 2015 - dl.acm.org
Music streaming services increasingly incorporate additional music taxonomies (ie, mood,
activity, and genre) to provide users different ways to browse through music collections …

Recommender systems: Sources of knowledge and evaluation metrics

D Parra, S Sahebi - Advanced Techniques in Web Intelligence-2: Web …, 2013 - Springer
Abstract Recommender or Recommendation Systems (RS) aim to help users dealing with
information overload: finding relevant items in a vast space of resources. Research on RS …

[책][B] Social data analytics

A Beheshti, S Ghodratnama, M Elahi, H Farhood - 2022 - taylorfrancis.com
This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …