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 …
A novel group recommendation model with two-stage deep learning
Group recommendation has recently drawn a lot of attention to the recommender system
community. Currently, several deep learning-based approaches are leveraged to learn …
community. Currently, several deep learning-based approaches are leveraged to learn …
Recommender system application developments: a survey
A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …
recommendations to handle the increasing online information overload problem and …
An efficient group recommendation model with multiattention-based neural networks
Group recommendation research has recently received much attention in a recommender
system community. Currently, several deep-learning-based methods are used in group …
system community. Currently, several deep-learning-based methods are used in group …
Social influence-based group representation learning for group recommendation
As social animals, attending group activities is an indispensable part in people's daily social
life, and it is an important task for recommender systems to suggest satisfying activities to a …
life, and it is an important task for recommender systems to suggest satisfying activities to a …
Objectives and state-of-the-art of location-based social network recommender systems
Z Ding, X Li, C Jiang, M Zhou - Acm Computing Surveys (Csur), 2018 - dl.acm.org
Because of the widespread adoption of GPS-enabled devices, such as smartphones and
GPS navigation devices, more and more location information is being collected and …
GPS navigation devices, more and more location information is being collected and …
Group recommendations with rank aggregation and collaborative filtering
L Baltrunas, T Makcinskas, F Ricci - … of the fourth ACM conference on …, 2010 - dl.acm.org
The majority of recommender systems are designed to make recommendations for
individual users. However, in some circumstances the items to be selected are not intended …
individual users. However, in some circumstances the items to be selected are not intended …
Recommending items to group of users using matrix factorization based collaborative filtering
Group recommender systems are becoming very popular in the social web owing to their
ability to provide a set of recommendations to a group of users. Several group recommender …
ability to provide a set of recommendations to a group of users. Several group recommender …
Exploring social influence for recommendation: a generative model approach
Social friendship has been shown beneficial for item recommendation for years. However,
existing approaches mostly incorporate social friendship into recommender systems by …
existing approaches mostly incorporate social friendship into recommender systems by …
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 …