How do people make decisions in disclosing personal information in tourism group recommendations in competitive versus cooperative conditions?
When deciding where to visit next while traveling in a group, people have to make a trade-off
in an interactive group recommender system between (a) disclosing their personal …
in an interactive group recommender system between (a) disclosing their personal …
Recent studies of xai-review
Over the past years, there has been an increasing concern regarding the risk of bias and
discrimination in algorithmic systems, which received significant attention amongst the …
discrimination in algorithmic systems, which received significant attention amongst the …
Knowing Unknown Teammates: Exploring Anonymity and Explanations in a Teammate Information-Sharing Recommender System
A growing organizational trend is to utilize ad-hoc team formation which allows for teams to
intentionally form based on the member skills required to accomplish a specific task. Due to …
intentionally form based on the member skills required to accomplish a specific task. Due to …
The privacy protection behaviours of the mobile app users: exploring the role of neuroticism and protection motivation theory
A Chennamaneni, B Gupta - Behaviour & Information Technology, 2023 - Taylor & Francis
Unprecedented and aggressive data access and transmission practices employed by
vendors and mobile app developers have aggravated mobile app users' privacy invasion …
vendors and mobile app developers have aggravated mobile app users' privacy invasion …
Can requirements engineering support explainable artificial intelligence? Towards a user-centric approach for explainability requirements
With the recent proliferation of artificial intelligence systems, there has been a surge in the
demand for explainability of these systems. Explanations help to reduce system opacity …
demand for explainability of these systems. Explanations help to reduce system opacity …
Investigating privacy decision-making processes among Nigerian men and women
The privacy calculus framework and trust heuristics has been used to understand people's
privacy decision-making processes. However, most existing studies are mainly focused on …
privacy decision-making processes. However, most existing studies are mainly focused on …
Evaluating explainable social choice-based aggregation strategies for group recommendation
Social choice aggregation strategies have been proposed as an explainable way to
generate recommendations to groups of users. However, it is not trivial to determine the best …
generate recommendations to groups of users. However, it is not trivial to determine the best …
Exploring user concerns about disclosing location and emotion information in group recommendations
Recent research has shown that explanations serve as an important means to increase
transparency in group recommendations while also increasing users' privacy concerns …
transparency in group recommendations while also increasing users' privacy concerns …
Beyond explaining single item recommendations
N Tintarev, J Masthoff - Recommender Systems Handbook, 2012 - Springer
This chapter gives an overview of the area of explanations in recommender systems. We
approach the literature from the angle of evaluation: that is, we are interested in what makes …
approach the literature from the angle of evaluation: that is, we are interested in what makes …
A multi-graph neural group recommendation model with meta-learning and multi-teacher distillation
W Zhou, Z Huang, C Wang, Y Chen - Knowledge-Based Systems, 2023 - Elsevier
Group recommendation has garnered significant attention recently, aiming to suggest items
of interest to groups. Most deep learning-based approaches for group recommendation …
of interest to groups. Most deep learning-based approaches for group recommendation …