As information filtering services, recommender systems have extremely enriched our daily
life by providing personalized suggestions and facilitating people in decision-making, which …

Generative models are a class of AI models capable of creating new instances of data by
learning and sampling from their statistical distributions. In recent years, these models have …

Neural network-based models for collaborative filtering have received widespread attention,
among which variational autoencoder (VAE) has shown unique advantages in the task of …

Methods for making high-quality recommendations often rely on learning latent
representations from interaction data. These methods, while performant, do not provide …

Conversational recommender systems offer a way for users to engage in multi-turn
conversations to find items they enjoy. For users to trust an agent and give effective …

Conversational critiquing in recommender systems offers a way for users to engage in multi-
turn conversations to find items they enjoy. For users to trust an agent and give effective …

Recommender systems are used in many different applications and contexts, however their
main goal can always be summarised as “connecting relevant content to interested users” …

Managing uncertainty in preferences is core to creating the next generation of
conversational recommender systems (CRS). However, an often-overlooked element of …

There has recently been growing interest in the automatic generation of cooking recipes that
satisfy some form of dietary restrictions, thanks in part to the availability of online recipe data …

Recommender systems are used in many different applications and contexts, however their
main goal can always be summarised as" connecting relevant content to interested users" …