Influenced by the great success of deep learning in computer vision and language
understanding, research in recommendation has shifted to inventing new recommender …

With the growing volume of online information, recommender systems have been an
effective strategy to overcome information overload. The utility of recommender systems …

摘要深度学习是机器学习领域一个重要研究方向, 近年来在图像处理, 自然语言理解,
语音识别和在线广告等领域取得了突破性进展. 将深度学习融入推荐系统中 …

Recommender systems are effective tools of information filtering that are prevalent due to
increasing access to the Internet, personalization trends, and changing habits of computer …

Social recommender systems (SocialRS) simultaneously leverage the user-to-item
interactions as well as the user-to-user social relations for the task of generating item …

Research about recommender systems emerges over the last decade and comprises
valuable services to increase different companies' revenue. While most existing …

© 2018 International Joint Conferences on Artificial Intelligence. All right reserved. With a
large amount of user activity data accumulated, it is crucial to exploit user sequential …

While perception tasks such as visual object recognition and text understanding play an
important role in human intelligence, subsequent tasks that involve inference, reasoning …

In the past decade, recommender systems have been widely used to provide users with
personalized products and services. However, most traditional recommender systems are …

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 …