A recommender system is a Web technology that proactively suggests items of interest to
users based on their objective behavior or explicitly stated preferences. Evaluations of …

Critiquing-based recommender systems elicit users' feedback, called critiques, which they
made on the recommended items. This conversational style of interaction is in contract to the …

We describe an intelligent personal assistant that has been developed to aid a busy
knowledge worker in managing time commitments and performing tasks. The design of the …

Critiquing-based recommender systems aim to elicit more accurate user preferences from
users' feedback toward recommendations. However, systems using a graphical user …

A critical factor in the success of many decision support systems is the accurate modeling of
user preferences. Psychology research has demonstrated that users often develop their …

A recommender system (RS) supports online users in e-commerce by proposing products
that are assumed to be both useful and interesting. Knowledge-based recommendation …

A recurrent issue in decision making is to extract a preference structure by observing the
user's behavior in different situations. In this paper, we investigate the problem of learning …

Over the past decade, our group has developed a suite of decision tools based on example
critiquing to help users find their preferred products in e-commerce environments. In this …

This 1 paper introduces and evaluates MovieExplorer, an interactive exploration tool
designed to use the data available in a traditional ratings-based recommender system to …

We consider a conversational recommender system based on example-critiquing where
some recommendations are suggestions aimed at stimulating preference expression to …