Data sparseness will reduce the accuracy and diversity of collaborative filtering
recommendation algorithms. In response to this problem, using granular computing model to …

During the last few years, deep learning revolutionized several fields including: image
analysis, speech recognition and language processing. Deep learning has also become …

Under the background of information technology, in order to promote the smooth
development of teaching design of media courses, we must adhere to the basic principle of …

Game-theoretic learning methods for the vertex cover problem have been investigated in
this paper. In the traditional game theory, the establishment of the game model is based on …

Currently, the homogenization of vast multimedia distance education course resources is
becoming increasingly severe. In the process of learning habit characteristics, the …

Collaborative Filtering is an method used to build a recommendation system with the
concept that conclusions from different clients are used to anticipate things that may be of …

Sequential recommendations have made great strides in accurately predicting the future
behavior of users. However, seeking accuracy alone may bring side effects such as unfair …

The cultivation of hand hygiene behavior among school-age children is an important way to
prevent the spread of diseases and ensure children's health. However, traditional health …

Facing the fierce market competition, enterprises not only need a deeper understanding and
concept renewal in marketing theory but also need a set of standardized, practical, and …

In order to better realize the optimization of university education management, this paper
puts forward the research on the optimization path of university education management …