In many practical scenarios, users are faced with the problem of choosing the most preferred outcome from a large set of possibilities. As people are unable to sift through them m...
Boi Faltings, Pearl Pu, Marc Torrens, Paolo Viappi...
Asynchronous design has been the focus of renewed interest. However, a key bottleneck is the lack of high-quality CAD tools for the synthesis of large-scale systems which also all...
Recommender systems are intelligent E-commerce applications that assist users in a decision-making process by offering personalized product recommendations during an interaction s...
The paper investigates the interaction effects between the search strategy of software agents and the subject's product class knowledge. The experimental study consists of a ...
Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...