Titlebook: Human Centered Computing; 7th International Co Qiaohong Zu,Yong Tang,Jizheng Wan Conference proceedings 2022 The Editor(s) (if applicable)

RALES

A Fast Shortest Path Searching Method Based on A* and Simulated Annealingh to the shortest path problem. However, the time and space requirements make A* hard efficiently find the shortest path in a massive and complicated transportation network. Reducing useless nodes generated is an efficient way to improve A*. In view of spatial distribution characters of transportati

characteristic

TRAWL

orthopedist

A PSO Based Multi-view Hierarchical Clustering Methodcess multi-view data, except for hierarchical clustering. Although it has advantages over other clustering algorithms, hierarchical clustering lags behind due to the lack of a well-defined objective function. In the past five years, many people have devoted themselves to the study of the objective f

Deference

GCN-ARIMA Based Sales Demand Prediction proposed recently, and made obvious contribution in solving link prediction and vector classification problems. With the development of chain operation, more and more data analysis institutions had started to provide network based sales and inventory level prediction service. This paper dedicated t

赤字

Dynamic Adjustment of the Learning Rate Using Gradientf deep learning in recent years, gradient descent algorithm has become more and more important. In gradient descent algorithm, learning rate is a very important parameter. The setting of learning rate directly affects the performance of the final model. The existing learning rate optimization algori

忍受

Predicting Personalities of Ancient Chinese Emperors Based on Relational Knowledge Transfer Modelal history semantic knowledge including Chinese emperors’ self-claimed character “朕”, statistics knowledge about correlation coefficient, and psychological knowledge including personality scores having normal distribution, to produce the virtual training datasets. With the Domain-Adversarial Trainin

银版照相

Visualization of Convolutional Neural Networks with Attention Mechanism models. Adding attention mechanisms based on convolutional neural networks to improve the classification effect of the model has been proven a lot. However, only theoretically understanding how attention mechanisms enhance the model‘s performance is a lack of intuition. Therefore, to explore the ro

改进

柔美流畅

Using Entropy for Trust Measure in Collaborative Filtering users’ ratings of items of interest and make recommendations. Therefore, various techniques have been proposed to develop similarity measures. Research on recommendation algorithms that integrate user trust information has made considerable progress. However, only the definition of trust relationsh