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 …

Variations of produced power in windmills may influence the appropriate integration in
power-driven grids which may disrupt the balance between electricity demand and its …

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 …

In recent years, deep learning's revolutionary advances in speech recognition, image
analysis, and natural language processing have gained significant attention. Deep learning …

Wind power prediction is essentially important for smooth integration of wind power into the
national grid pertained to its inherent fluctuations. To facilitate the wind energy production …

In recent years, the textile and fashion industries have witnessed an enormous amount of
growth in fast fashion. On e-commerce platforms, where numerous choices are available, an …

The segmentation of anatomical structures has been traditionally formulated as a perceptual
grouping task, and solved through clustering and variational approaches. However, such …

Tag recommendation has been attracting much attention with the growth of digital resources.
The goal of a tag recommendation system is to provide a set of tags for a piece of text to …

Recommender system has recently attracted a lot of attention in the information service
community. Currently, most recommendation models use deep neural networks to learn user …