Yingchao Wang¹, Yuanhao Zhu¹, Zongtian Zhang¹, Huihuang Liu^1,* , Peng Guo²

Journal of New Media, Vol.3, No.4, pp. 119-128, 2021, DOI:10.32604/jnm.2021.016655 - 05 November 2021

Abstract In order to improve user satisfaction and loyalty on e-commerce websites, recommendation algorithms are used to recommend products that may be of interest to users. Therefore, the accuracy of the recommendation algorithm is a primary issue. So far, there are three mainstream recommendation algorithms, content-based recommendation algorithms, collaborative filtering algorithms and hybrid recommendation algorithms. Content-based recommendation algorithms and collaborative filtering algorithms have their own shortcomings. The contentbased recommendation algorithm has the problem of the diversity of recommended items, while the collaborative filtering algorithm has the problem of data sparsity and scalability. On the basis of More >

Kaixin Qi, Guiying Wang^*, Yinggang Huang, Pengfei Fang

Journal of New Media, Vol.3, No.3, pp. 109-118, 2021, DOI:10.32604/jnm.2021.019694 - 13 July 2021

Abstract A visual pH indicator through purple cabbage dye is selected to test the freshness of venison. Chitosan and cassava starch of an equal weight were used to prepare the film-forming matrix of the indicator. The crystallization of natural purple cabbage dyes with a weight ratio of 5%, 10%, 20% and 40% were added to the matrix, respectively. The pH color test showed that the natural purple cabbage lyophilized powder with a weight ratio of 40% was the best for the pH indicator, which was used to test the freshness of venison stored at 4℃. More >

Lei Guo^*

Journal of New Media, Vol.3, No.3, pp. 99-107, 2021, DOI:10.32604/jnm.2021.019649 - 13 July 2021

Abstract In recent years, with the increasing popularity of social networks, rumors have become more common. At present, the solution to rumors in social networks is mainly through media censorship and manual reporting, but this method requires a lot of manpower and material resources, and the cost is relatively high. Therefore, research on the characteristics of rumors and automatic identification and classification of network message text is of great significance. This paper uses the Naive Bayes algorithm combined with Laplacian smoothing to identify rumors in social network texts. The first is to segment the text and More >

Qiong Wang¹, Yuewen Luo¹, Hongliang Guo¹, Peng Guo², Jinghao Wei¹, Tie Lin^1,*

Journal of New Media, Vol.3, No.3, pp. 89-98, 2021, DOI:10.32604/jnm.2021.019519 - 13 July 2021

Abstract This article has been withdrawn at the request of the editor and publisher. The Tech Science Press Policy on Article Withdrawal can be found at https://www.techscience.com/JNM/info/auth_instru. The publisher regrets that a technical error occurred, which led to the duplicate publication. We apologize to the authors and the readers for this unfortunate error and any inconvenience this may have caused. More >

Jie Kang^1,*, Xiaoying Chen¹, Hu Cong², Chenghan Yang¹

Journal of New Media, Vol.3, No.3, pp. 81-87, 2021, DOI:10.32604/jnm.2021.017368 - 13 July 2021

Abstract As a new product of the development of modern science and technology, the research and development of logistics robot has become the focus of social attention. Robot sorting and handling is the designated project of Jiangsu University Robot Competition. According to the requirements of the competition, this paper designs a kind of logistics robot trolley which can identify and grab materials according to a given path and transport them to a predetermined location. The mechanical structure design, driving motor selection and mechanical checking calculation of the car are mainly completed. According to the later experiments, More >

Zheng Zhang^*, Shu Zhou

Journal of New Media, Vol.3, No.2, pp. 73-80, 2021, DOI:10.32604/jnm.2021.018923 - 23 April 2021

Abstract The development of various applications based on social network text is in full swing. Studying text features and classifications is of great value to extract important information. This paper mainly introduces the common feature selection algorithms and feature representation methods, and introduces the basic principles, advantages and disadvantages of SVM and KNN, and the evaluation indexes of classification algorithms. In the aspect of mutual information feature selection function, it describes its processing flow, shortcomings and optimization improvements. In view of its weakness in not balancing the positive and negative correlation characteristics, a balance weight attribute More >

Yang Zhou¹, Jinhui He¹, Hao Yang^1,2,*

Journal of New Media, Vol.3, No.2, pp. 63-72, 2021, DOI:10.32604/jnm.2021.018829 - 23 April 2021

Abstract In recent years, more and more attention has been paid to the research and application of graph structure. As the most typical representative of graph structure algorithm, breadth first search algorithm is widely used in many fields. However, the performance of traditional serial breadth first search (BFS) algorithm is often very low in specific areas, especially in large-scale graph structure traversal. However, it is very common to deal with large-scale graph structure in scientific research. At the same time, the computing performance of supercomputer has also made great progress. China’s self-developed supercomputer system Sunway TaihuLight… More >

Qiong Wang¹, Yuewen Luo¹, Hongliang Guo¹, Peng Guo², Jinghao Wei¹, Tie Lin^1,*

Journal of New Media, Vol.3, No.2, pp. 53-62, 2021, DOI:10.32604/jnm.2021.018762 - 23 April 2021

Abstract In recent years, the mobile Internet has developed rapidly, and the network social platform has emerged as the times require, and more people make friends, chat and share dynamics through the network social platform. The network social platform is the virtual embodiment of the social network, each user represents a node in the directed graph of the social network. As the most popular online social platform in China, WeChat has developed rapidly in recent years. Large user groups, powerful mobile payment capabilities, and massive amounts of data have brought great influence to it. At present, More >

Jiancheng Zou¹, Shouyu Zhou^1,*, Bailin Ge¹, Xin Yang²

Journal of New Media, Vol.3, No.2, pp. 41-51, 2021, DOI:10.32604/jnm.2021.017764 - 23 April 2021

Abstract Blood pressure is an important physiological parameter to reflect human vital signs. In order to achieve the non-contact dynamic blood pressure acquisition based on ordinary optical camera, a theoretical understanding of the functional relationship between blood pressure and pulse wave signal conduction time. And through imaging photoelectric plethysmography (IPPG), pulse wave signal conduction time of forehead and hand was obtained with ordinary optical camera. First, the pulse wave conduction time was obtained by recording the video with an ordinary optical camera. Second, real-time blood pressure values were collected. Finally, based on the relationship between blood… More >

Jianwei Zhang, Zhenxing Wang, Yuhui Zheng, Guoqing Zhang^*

Journal of New Media, Vol.3, No.1, pp. 29-39, 2021, DOI:10.32604/jnm.2021.018383 - 15 March 2021

Abstract Image super resolution is an important field of computer research. The current mainstream image super-resolution technology is to use deep learning to mine the deeper features of the image, and then use it for image restoration. However, most of these models mentioned above only trained the images in a specific scale and do not consider the relationships between different scales of images. In order to utilize the information of images at different scales, we design a cascade network structure and cascaded super-resolution convolutional neural networks. This network contains three cascaded FSRCNNs. Due to each sub More >