Opportunities and challenges of utilizing personality traits for personalization in HCI

ST Völkel, R Schödel, D Buschek, C Stachl… - Personalized Human …, 2019 - degruyter.com
This chapter discusses main opportunities and challenges of assessing and utilizing
personality traits in personalized interactive systems and services. This unique perspective …

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 …

Mining personality traits from social messages for game recommender systems

HC Yang, ZR Huang - Knowledge-Based Systems, 2019 - Elsevier
Recently, recommender systems for various types of resource received lots of attention due
to the need for finding interesting resources from gigantic body such as World Wide Web or …

Cross-domain recommendation with user personality

H Wang, Y Zuo, H Li, J Wu - Knowledge-Based Systems, 2021 - Elsevier
Recommender systems have long played indispensable roles in e-commerce by helping
users find their preferred products efficiently and accurately. In recent years, some …

Recommendation systems for tourism based on social networks: A survey

A Menk, L Sebastia, R Ferreira - arXiv preprint arXiv:1903.12099, 2019 - arxiv.org
Nowadays, recommender systems are present in many daily activities such as online
shopping, browsing social networks, etc. Given the rising demand for reinvigoration of the …

How features embedded in eWOM predict hotel guest satisfaction: An application of artificial neural networks

A Aakash, A Tandon… - Journal of Hospitality …, 2021 - Taylor & Francis
ABSTRACT Electronic-word-of-mouth (eWOM) plays a crucial role not only in analyzing
customer decision-making but also in enhancing the revenue and brand image of service …

How to Trick AI: Users' strategies for protecting themselves from automatic personality assessment

ST Völkel, R Haeuslschmid, A Werner… - Proceedings of the …, 2020 - dl.acm.org
Psychological targeting tries to influence and manipulate users' behaviour. We investigated
whether users can protect themselves from being profiled by a chatbot, which automatically …

Nations as brands: Cinema's place in the branding role

S Gupta, MM Foroudi, J Väätänen, S Gupta… - Journal of Business …, 2020 - Elsevier
This paper contributes to the literature on nation branding. We investigate how a country's
attributes, as reflected by its cinema, built travel destination attractiveness for consumers …

Collaborative recommendations using hierarchical clustering based on Kd trees and quadtrees

J Das, S Majumder, P Gupta, K Mali - International Journal of …, 2019 - World Scientific
Majority of the e-commerce sites implement Recommender Systems (RS) to help users
navigate through the large search space and assist their decision making process by …

Analyzing Facebook activities for personality recognition

A Laleh, R Shahram - 2017 16th IEEE international conference …, 2017 - ieeexplore.ieee.org
Facebook is the largest and the most popular online social network application that records
large amount of users' behavior expressed in various activities such as Facebook likes …