Users’ critiques to the current recommendation form a crucial feedback mechanism for refining their preference models and improving a system’s accuracy in recommendations that ...
Recommender Systems (RS) so far have been applied to many fields of e-commerce in order to assist users in finding the products that best meet their preferences. However, while th...
In a service-oriented e-commerce environment, it is a crucial task to help consumers choose desired products efficiently from a huge amount of dynamically configured product can...
This paper addresses a spoken dialogue framework that helps users make decisions. Various decision criteria are involved when we select an alternative from a given set of alternati...
Teruhisa Misu, Chiori Hori, Kiyonori Ohtake, Hidek...
This research proposes a decision aid based on a novel type of preference relaxation, which enables consumers to easily make quality choices in online multiattribute choice scenari...