There are increasingly many personalization services in ubiquitous computing environments that involve a group of users rather than individuals. Ubiquitous commerce is one example of these environments. Ubiquitous commerce research is highly related to recommender systems that have the ability to provide even the most tentative shoppers with compelling and timely item suggestions. When the recommendations are made for a group of users, new challenges and issues arise to provide compelling item suggestions. One of the challenges a group recommender system must cope with is the potentially conflicting preferences of multiple users when selecting items for recommendation. In this paper, we focus on how individual user models can be aggregated ...
Recent observational studies highlight the importance of considering the interactions between users ...
Provided by the author(s) and University College Dublin Library in accordance with publisher policie...
Group modeling is the process that combines multiple user models into a single model. In group recom...
There are increasingly many personalization services in ubiquitous computing environments that invol...
There are increasingly many personalization services in ubiquitous computing environments that invol...
Group Recommendation (GR) is the task of suggesting relevant items/events for a group of users in on...
Abstract—We examine the problem of enabling the flexibility of updating one’s preferences in group r...
To date, product recommendation systems have mainly been looked at from a single-agent perspective, ...
Abstract. Recommender systems have traditionally recommended items to in-dividual users, but there h...
Systems that recommend items to a group of two or more users raise a number of challenging issues th...
With the rapid development of online social networks, a growing number of people are willing to shar...
Group recommendation has attracted significant research efforts for its importance in benefiting a g...
Social choice aggregation strategies have been proposed as an explainable way to generate recommenda...
Effective recommendation is indispensable to customized or personalized services. The ease of collec...
Recommender systems were created to represent user preferences for the purpose of suggesting items t...
Recent observational studies highlight the importance of considering the interactions between users ...
Provided by the author(s) and University College Dublin Library in accordance with publisher policie...
Group modeling is the process that combines multiple user models into a single model. In group recom...
There are increasingly many personalization services in ubiquitous computing environments that invol...
There are increasingly many personalization services in ubiquitous computing environments that invol...
Group Recommendation (GR) is the task of suggesting relevant items/events for a group of users in on...
Abstract—We examine the problem of enabling the flexibility of updating one’s preferences in group r...
To date, product recommendation systems have mainly been looked at from a single-agent perspective, ...
Abstract. Recommender systems have traditionally recommended items to in-dividual users, but there h...
Systems that recommend items to a group of two or more users raise a number of challenging issues th...
With the rapid development of online social networks, a growing number of people are willing to shar...
Group recommendation has attracted significant research efforts for its importance in benefiting a g...
Social choice aggregation strategies have been proposed as an explainable way to generate recommenda...
Effective recommendation is indispensable to customized or personalized services. The ease of collec...
Recommender systems were created to represent user preferences for the purpose of suggesting items t...
Recent observational studies highlight the importance of considering the interactions between users ...
Provided by the author(s) and University College Dublin Library in accordance with publisher policie...
Group modeling is the process that combines multiple user models into a single model. In group recom...