As an important global policy guide to promote economic transformation and upgrading, the upsurge of E-Commerce has been continuously upgraded with continuous breakthroughs in information technology. In recent years, China’s...
Recent years, many online network communities, such as Facebook, Twitter, Tik Tok, Weibo, etc., have developed rapidly and become the bridge connecting physical social world and virtual cyberspace. Online network communities...
The paper proposes a generalized ordered weighted simplified neutrosophic cosine similarity (GOWSNCS) measure by combining the cosine similarity measure of simplified neutrosophic sets (SNSs) with the generalized ordered...
With the rapid development of the mobile internet and the rapid popularization of smart terminal devices, types and content of services are changing with each passing day, these bring serious mobile information overload problems...
As an emerging online shopping method, e-commerce has been widely popular since the popularization of the Internet. Online sales and online shopping have become the trend of modern business development. However, the...
A method for mining frequent patterns of individual user trajectories is proposed based on location semantics. The semantic trajectory is obtained by inverse geocoding and preprocessed to obtain the Top-k candidate frequent...
Under the background of digital economy, technological diversification and R&D internationalization are important strategic choices for eMNCs, represented by China, to seek advanced technological resources and create competitive...
Since the explosive growth of we-medias today, personalized recommendation is playing an increasingly important role to help users to find their target articles in vast amounts of data. Deep learning, on the other hand, has...
Quantitative detection of virus-like particles under a low concentration is of vital importance for early infection diagnosis and water pollution analysis. In this paper, a novel virus detection method is proposed using indirect...
This study examines factors that influence users' continuance intention to use a mobile application. There exist few empirical researches focused solely on examining factors influencing users' continuance intention of using...
This article describes how technology—i.e. the infrastructure of tools, systems, platforms—enhances knowledge transfer. The effect of tools on the relationship between knowledge characteristics and knowledge transfer...
Previous studies demonstrate that online interactive relations can help improve users' innovation outcomes, yet few studies have investigated how they influence user innovation. This paper builds a social network based on users'...
A new reversible watermarking algorithm on stereo audio signals is proposed in this article. By utilizing correlations between two channels of audio signal, the authors segment one channel based on another one according to the...
The aim of this article is to promote the development of rural finance and the further informatization of rural banks. Based on DL (deep learning) and artificial intelligence technology, data pre-processing and feature selection...
The risk measurement of financial credit industry is an important research issue in the field of financial risk assessment. The design of financial credit risk measurement algorithm can help investors avoid greater risks and...
Media-aware stock performance has been well recognized in recent studies. Previous research, however, focused on the content influence of the media, ignoring the manner in which the media is delivered. Based on the trust theory...
It is not easy for banks to sell their term-deposit products to new clients because many factors will affect customers’ purchasing decision and because banks may have difficulties to identify their target customers. To address...
In order to obtain the visual data of linkage structure and network characteristics of hog price among provinces in China, an improved analysis method of social network correlation was proposed in this article. The lift of...
This article investigates and discusses the institutional factors influencing decisions of e-commerce adoption in Saudi small and medium enterprises (SMEs) from the temporal view. This article has been conducted in two phases: a...
The relation between corporate environmental, social, and governance (ESG) performance and firm value has received increasing attention. However, the recent literature on corporate ESG performance evaluation suffers from...
Face emojis are regularly used in reviews on online shopping sites to add richness and/or levity to the text. However, few researchers have investigated the use of face emojis in consumer reviews. This paper examined the effects...
This article considers e-commerce platforms with and without promotion, builds biform game models consisting of one and two supplier platforms, and calculates the profit distribution of the three parties using the Shapley value...
Teaching evaluation is an important issue in the learning process in higher education. In addition to the teaching evaluation on campus, feedback from alumni is also very important to instruction improvement. Undergraduates and...
With the increasing amount of medical data and the high dimensional and diversified complex information, based on artificial intelligence and machine learning, a new way is provided that is multi-source, heterogeneous, high...
With the development of artificial intelligence, there are more and more applications related to face images. The recording of face information causes potential cyber security risks and personal privacy disclosure risks to the...