This article presents a novel model named Adversarial Auto-encoder Domain Adaptation to
handle the recommendation problem under cold-start settings. Specifically, we divide the …

Conversational Recommender Systems (CRSs) fundamentally differ from traditional
recommender systems by interacting with users in a conversational session to accurately …

E-commerce provides rich multimodal data that is barely leveraged in practice. One aspect
of this data is a category tree that is being used in search and recommendation. However, in …

E-commerce provides rich multimodal data that is barely leveraged in practice. The majority
of e-commerce search mechanisms are uni-modal, which are cumbersome and often fail to …

Suppose you want to learn more about a certain topic. For the sake of argument, let us
assume this topic is multimodal machine learning for information retrieval. How would you …

Artificial intelligence (AI) aims to build intelligent systems that can interact with and assist
humans. During the interaction, a system learns the requirements from the human user and …