Sequential group recommendations based on satisfaction and disagreement scores
M Stratigi, E Pitoura, J Nummenmaa… - Journal of Intelligent …, 2022 - Springer
Recently, group recommendations have gained much attention. Nevertheless, most
approaches consider only one round of recommendations. However, in a real-life scenario …
approaches consider only one round of recommendations. However, in a real-life scenario …
An entropy empowered hybridized aggregation technique for group recommender systems
Group recommender systems aim to suggest appropriate products/services to a group of
users rather than individuals. These recommendations rely solely on determining group …
users rather than individuals. These recommendations rely solely on determining group …
COM: a generative model for group recommendation
With the rapid development of online social networks, a growing number of people are
willing to share their group activities, eg having dinners with colleagues, and watching …
willing to share their group activities, eg having dinners with colleagues, and watching …
Investigating and counteracting popularity bias in group recommendations
Popularity bias is an undesirable phenomenon associated with recommendation algorithms
where popular items tend to be suggested over long-tail ones, even if the latter would be of …
where popular items tend to be suggested over long-tail ones, even if the latter would be of …
An analysis of group recommendation heuristics for high-and low-involvement items
Group recommender systems are based on aggregation heuristics that help to determine a
recommendation for a group. These heuristics aggregate the preferences of individual users …
recommendation for a group. These heuristics aggregate the preferences of individual users …
[HTML][HTML] SQUIRREL: A framework for sequential group recommendations through reinforcement learning
Nowadays, sequential recommendations are becoming more prevalent. A user expects the
system to remember past interactions and not conduct each recommendation round as a …
system to remember past interactions and not conduct each recommendation round as a …
Performance evaluation of aggregation-based group recommender systems for ephemeral groups
Recommender Systems (RecSys) provide suggestions in many decision-making processes.
Given that groups of people can perform many real-world activities (eg, a group of people …
Given that groups of people can perform many real-world activities (eg, a group of people …
Diversifying group recommendation
Recommender-systems have been a significant research direction in both literature and
practice. The core of recommender systems are the recommendation mechanisms, which …
practice. The core of recommender systems are the recommendation mechanisms, which …
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 …
Group recommendation with latent voting mechanism
Group Recommendation (GR) is the task of suggesting relevant items/events for a group of
users in online systems, whose major challenge is to aggregate the preferences of group …
users in online systems, whose major challenge is to aggregate the preferences of group …