scholarly journals Multimedia Character Modeling Design and Modeling of Cartoon Animation Based on Bayesian Sequence Recommendation Algorithm

2022 ◽  
Vol 2022 ◽  
pp. 1-10
Author(s):  
Hao Wu ◽  
Shi-Jiang Wen ◽  
Jong-Hoon Yang
Keyword(s):  
Streaming Media ◽  
Social Economy ◽  
Positive Energy ◽  
Design Management ◽  
Recommendation Algorithm ◽  
Interactive Process ◽  
The Social ◽  
Simulation Results ◽  
Monkey King ◽  
Cartoon Animation

With the continuous development of the social economy, cartoon animation and other multimedia and streaming media forms are becoming more and more popular and are loved by all kinds of people, such as monkey king and Nezha. However, the multimedia of these cartoon animation needs to conform to mainstream values and transmit positive energy. In view of these needs and shortcomings, this study relies on the Bayesian sequence recommendation algorithm, combs the three-tier architecture diagram of multimedia character modeling, analyzes it, respectively, from the perspectives of hierarchy, behavior, and interactive process, and tries to build corresponding animation design management documents, so as to provide corresponding decision-making basis to produce animation and develop corresponding results, provide corresponding reference mode for cartoon animation multimedia character manufacturing, complete corresponding cartoon animation multimedia characters faster, and improve cartoon animation multimedia works and efficiency. The simulation results show that the Bayesian sequence recommendation algorithm is effective and can support the design and modeling of cartoon animation multimedia characters.

scholarly journals Traditional Cultural Short Video Publicity System Based on Data Mining and Digital Image Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Xiaoyue Guo ◽  
Jingjing Feng
Keyword(s):  
Data Mining ◽  
Correlation Analysis ◽  
Digital Image ◽  
Digital Technology ◽  
Social Economy ◽  
Traditional Culture ◽  
Chinese People ◽  
The Social ◽  
Short Video ◽  
Simulation Results

With the continuous development of the social economy, more and more attention has been paid to traditional cultures, such as Chinese-style clothing, decoration, and furniture, and the publicity of traditional culture is also diverse. However, it should be noted that the rise of short videos has promoted the diversification of traditional culture publicity methods. In this paper, data mining technology and digital technology are introduced. By sorting out the content, publicity strategy, and emphasis of traditional culture, and through correlation analysis, the audience of traditional culture has been wider, and the content has been transmitted more, aiming to make more Chinese people love traditional culture and promote traditional culture. The simulation results show that data mining and digital technology are effective and can effectively promote the propaganda of short videos of traditional culture.

TrustSVD: A Novel Trust-Based Matrix Factorization Model with User Trust and Item Ratings

2017 ◽  
Vol 7 (11) ◽  
pp. 7 ◽  
Author(s):  
K Sobha Rani
Keyword(s):  
Matrix Factorization ◽  
Social Trust ◽  
State Of The Art ◽  
Data Sets ◽  
Real World Data ◽  
Recommendation Algorithm ◽  
Active User ◽  
Factorization Model ◽  
The Social ◽  
Matrix Factorization Technique

Collaborative filtering suffers from the problems of data sparsity and cold start, which dramatically degrade recommendation performance. To help resolve these issues, we propose TrustSVD, a trust-based matrix factorization technique. By analyzing the social trust data from four real-world data sets, we conclude that not only the explicit but also the implicit influence of both ratings and trust should be taken into consideration in a recommendation model. Hence, we build on top of a state-of-the-art recommendation algorithm SVD++ which inherently involves the explicit and implicit influence of rated items, by further incorporating both the explicit and implicit influence of trusted users on the prediction of items for an active user. To our knowledge, the work reported is the first to extend SVD++ with social trust information. Experimental results on the four data sets demonstrate that our approach TrustSVD achieves better accuracy than other ten counterparts, and can better handle the concerned issues.

scholarly journals The impact of the COVID-19 pandemic on socio-economic and sustainability

2021 ◽  
Author(s):  
Xueli Wei ◽  
Lijing Li ◽  
Fan Zhang
Keyword(s):  
World Economy ◽  
Social Economy ◽  
Secondary Data ◽  
Well Being ◽  
Cross Sectional ◽  
The Social ◽  
The World ◽  
The Status ◽  
Sectional Analysis ◽  
The Impact

Pumping elephantThe COVID-19 pandemic has adversely affected the lives of people around the world in millions of ways . Due to this severe epidemic, all countries in the world have been affected by all aspects, mainly economic. It is widely discussed that the COVID-19 outbreak has affected the world economy. When considering this dimension, this study aims to examine the impact of the COVID-19 pandemic on the world economy, socio-economics, and sustainability. In addition, the research focuses on multiple aspects of social well-being during the pandemic, such as employment, poverty, the status of women, food security, and global trade. To this end, the study used time series and cross-sectional analysis of the data. The second-hand data used in this study comes from the websites of major international organizations. From the analysis of secondary data, the conclusion of this article is that the impact of the pandemic is huge. The main finding of the thesis is that the social economy is affected by the pandemic, causing huge losses in terms of economic well-being and social capital.

A Social Enterprise Company in EU Organisational Law?

2021 ◽  
pp. 1-35
Author(s):  
J S LIPTRAP
Keyword(s):  
European Integration ◽  
European Commission ◽  
Social Enterprise ◽  
Social Economy ◽  
Member States ◽  
Regulatory Issues ◽  
Cross Border ◽  
The Social ◽  
Proposal A

Abstract This article explores the European Parliament's July 2018 non-legislative resolution proposing to the European Commission a directive for facilitating social enterprise companies’ cross-border activities. The proposal is first situated within the context of the social economy and how the sector has grown in importance to European integration. The proposal and the European Commission's response are then examined. Although the European Commission was not convinced that Member States would be amenable to the proposal, a consensus may already exist that is sufficient to garner their support. Even if this prediction is wrong, however, it is argued that there are reasons to surmise that the proposal will likely be reassessed and ultimately successful at some future point. Finally, the proposal is viewed with a reflexive harmonisation lens. Through the analysis, regulatory issues are identified, and a solution is then suggested.

scholarly journals How Does the Pandemic Facilitate Mobile Payment? An Investigation on Users’ Perspective under the COVID-19 Pandemic

2021 ◽  
Vol 18 (3) ◽  
pp. 1016
Author(s):  
Yuyang Zhao ◽  
Fernando Bacao
Keyword(s):  
Social Economy ◽  
Emergency Situation ◽  
Mobile Payment ◽  
Unified Theory ◽  
Perceived Benefits ◽  
Factors Affecting ◽  
Use Of Technology ◽  
The Social ◽  
Perceived Security ◽  
Contact Free

Owing to the convenience, reliability and contact-free feature of Mobile payment (M-payment), it has been diffusely adopted in China during the COVID-19 pandemic to reduce the direct and indirect contacts in transactions, allowing social distancing to be maintained and facilitating stabilization of the social economy. This paper aims to comprehensively investigate the technological and mental factors affecting users’ adoption intentions of M-payment under the COVID-19 pandemic, to expand the domain of technology adoption under the emergency situation. This study integrated Unified Theory of Acceptance and Use of Technology (UTAUT) with perceived benefits from Mental Accounting Theory (MAT), and two additional variables (perceived security and trust) to investigate 739 smartphone users’ adoption intentions of M-payment during the COVID-19 pandemic in China. The empirical results showed that users’ technological and mental perceptions conjointly influence their adoption intentions of M-payment during the COVID-19 pandemic, wherein perceived benefits are significantly determined by social influence and trust, corresponding with the situation of pandemic. This study initially integrated UTAUT with MAT to develop the theoretical framework for investigating users’ adoption intentions. Meanwhile, this study originally investigated the antecedents of M-payment adoption under the pandemic situation and indicated that users’ perceptions will be positively influenced when technology’s specific characteristics can benefit a particular situation.

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