Recommender systems are efficient tools for filtering online information, which is
widespread owing to the changing habits of computer users, personalization trends, and …

A comprehensive artificial intelligence system needs to not only perceive the environment
with different “senses”(eg, seeing and hearing) but also infer the world's conditional (or even …

We tackle the task of video moment retrieval (VMR), which aims to localize a specific
moment in a video according to a textual query. Existing methods primarily model the …

Mobile phones are becoming a primary platform for information access and when coupled
with recommender system technologies they can become key tools for mobile users both for …

Context-aware recommender system (CARS) is a highly researched and implemented way
of providing a personalized service that helps users to find their desired content. One of the …

Recommender systems have recently been singled out as a fascinating area of research,
owing to the technological progress in mobile devices, such as smartphones and tablets, as …

Due to its successful application in recommender systems, collaborative filtering (CF) has
become a hot research topic in data mining and information retrieval. In traditional CF …

Recently, context-aware recommender systems (CARS), which incorporates contextual
information into recommender systems, has become one of the hottest topics in the domain …

Recommendation Systems have become an important research area in mobile computing.
Although various recommendation systems have been developed to help users to deal with …

With the development of mobile commerce, situational awareness and Internet of things, the
boundaries of e-commerce have been greatly expanded, and it has entered a big data era of …