Recommender systems have emerged as an effective decision tool to help users more easily and quickly find products that they prefer, especially in e-commerce environments. However...
The accuracy of collaborative filtering recommender systems largely depends on two factors: the quality of the recommendation algorithm and the nature of the available item rating...
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...
: Collaborative querying seeks to help users formulate an accurate query to a search engine by sharing expert knowledge or other users' search experiences. One approach to acc...
Lin Fu, Dion Hoe-Lian Goh, Schubert Shou-Boon Foo,...
A particularly challenging task for recommender systems (RSs) is deciding whether to recommend an item that received a variety of high and low scores from its users. RSs that inco...
Patricia Victor, Chris Cornelis, Martine De Cock, ...