Dialogue systems have achieved growing success in many areas thanks to the rapid
advances of machine learning techniques. In the quest for generating more human-like …

Conversational technologies are transforming the landscape of human‐machine interaction.
Chatbots are increasingly being used in several domains to substitute human agents in …

In recent years, the m ulti-task learning for k nowledge graph-based r ecommender system,
termed MKR, has shown its promising performance and has attracted increasing interest …

Fault diagnosis driven by the single signal has been widely used in motor fault diagnosis,
but it can not meet the diagnostic requirements of complex motor system. In this study, a …

Existing neural collaborative filtering (NCF) recommendation methods suffer from severe
sparsity problem. Knowledge Graph (KG), which commonly consists of fruitful connected …

The consistency of a response to a given post at semantic-level and emotional-level is
essential for a dialogue system to deliver human-like interactions. However, this challenge is …

During the past decade, social interaction in computer systems has attracted wide attention
from the human-computer interaction and robotics communities. One of the essential …

Deep learning (DL) techniques have shown good potential in building favorable predictive
models in e-learning environments. It is important to build a DL-based, fine-grained student …

Rationality and emotion are two fundamental elements of humans. Endowing agents with
rationality and emotion has been one of the major milestones in AI. However, in the field of …

Empathy is fundamental to humans among other animals. It is key to strengthening social
cohesion, the cornerstone of health and success of societies. Thus, empathy could be an …