Conventional conversational recommender systems support interaction strategies that are hard-coded into the system in advance. In this context, Reinforcement Learning techniques h...
Increasing demands for interconnectivity, adaptivity and flexibility are leading to distributed component-based systems (DCBS) where components may dynamically join and leave a sys...
Giovanni Russello, Michel R. V. Chaudron, Maarten ...
Collaborative tagging systems are now popular tools for organising and sharing information on the Web. While collaborative tagging offers many advantages over the use of controll...
Ching-man Au Yeung, Nicholas Gibbins, Nigel Shadbo...
Most of current machine vision systems suffer from a lack of flexibility to account for the high variability of unstructured environments. Here, as the state of the world evolves ...
Conversational recommender systems have been introduced in Travel and Tourism applications in order to support interactive dialogues which assist users in acquiring their goals, e...
Tariq Mahmood, Francesco Ricci, Adriano Venturini,...