Points of interest recommendations: methods, evaluation, and future directions
The emergence of Location-based social networks (LBSNs) in recent years has boosted
improvements in Recommender Systems for a new and specific task: the recommendation of …
improvements in Recommender Systems for a new and specific task: the recommendation of …
Diversity-aware recommendations for social justice? exploring user diversity and fairness in recommender systems
L Schelenz - Adjunct Proceedings of the 29th ACM Conference on …, 2021 - dl.acm.org
Diversity and fairness are increasingly linked in the field of personalized recommendations.
For instance, the diversification of items (” item diversity”) is considered key to fairness. Less …
For instance, the diversification of items (” item diversity”) is considered key to fairness. Less …
A systematic review of interaction design strategies for group recommendation systems
Systems involving artificial intelligence (AI) are protagonists in many everyday activities.
Moreover, designers are increasingly implementing these systems for groups of users in …
Moreover, designers are increasingly implementing these systems for groups of users in …
Factors influencing privacy concern for explanations of group recommendation
Explanations can help users to better understand why items have been recommended.
Additionally, explanations for group recommender systems need to consider further goals …
Additionally, explanations for group recommender systems need to consider further goals …
[图书][B] Recommender systems: advanced developments
The rapid growth of web information provides excellent opportunities for developing various
e-services applications in many domains. However, it has also caused information overload …
e-services applications in many domains. However, it has also caused information overload …
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 …
Bias characterization, assessment, and mitigation in location-based recommender systems
Abstract Location-Based Social Networks stimulated the rise of services such as Location-
based Recommender Systems. These systems suggest to users points of interest (or …
based Recommender Systems. These systems suggest to users points of interest (or …
Individual and group decision making and recommender systems
A Jameson, MC Willemsen, A Felfernig - Recommender Systems …, 2022 - Springer
Given that an important function of recommender systems is to help people make better
choices, people who design and study recommender systems ought to have a good …
choices, people who design and study recommender systems ought to have a good …
Group recommender systems: Beyond preference aggregation
J Masthoff, A Delić - Recommender systems handbook, 2012 - Springer
This chapter addresses the topic of group recommendations, how a system can recommend
to a group of users. This topic has received a considerable attention, especially in recent …
to a group of users. This topic has received a considerable attention, especially in recent …