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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …
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 …