… During the same period there is also growing awareness on the issue of aging population,
the economical and social challenges that follow,24 as well as new opportunities to improve …

… rounds required and inappropriate recommendation moments. Aiming at these problems,
a new conversational recommendation algorithm based on deep reinforcement learning …

… Abstract Recommender Systems aim to select the subset that … Compared to conventional
recommender systems, CRS ex… , which helps system to have a deeper understanding of users' …

… From Eliza to XiaoIce: challenges and opportunities with social chatbots[J]. Frontiers of …
-view deep learning approach for cross domain user modeling in recommendation systems. …

… -analysis and deep learning offers a unique opportunity to enhance … deep learning for
chatbot intelligence reveals promising avenues for advancing the capabilities of conversational …

… We will document the opportunities and challenges along the process and continue to
collaborate with other like-minded scholars to promote diversity, equity, and inclusion in …

… Deep learning models, such as neural networks and … Deep learning approaches have
shown remarkable success … Intelligent recommendation systems are also utilized to suggest …

… the recommendation system based on knowledge graph from three aspects:Firstly, basic
concepts of the recommendation system … An efficient hybrid recommendation model with deep …

… , and Yanhui who kept an eye on the progress of my work and were always available when
I needed your advice. I feel a deep sense of gratitude for my parents who helped shape my …

… comfort, recommendation systems and … systems has received more and more attention
from researchers. To summarize the current work related to deep learning-based conversational …