Understanding the characteristics and predicting the popularity of the newly published online videos can provide direct implications in various contexts such as service design, advertisement planning, network manageme...Understanding the characteristics and predicting the popularity of the newly published online videos can provide direct implications in various contexts such as service design, advertisement planning, network management and etc. In this paper, we collect a real-world large-scale dataset from a leading online video service provider in China, namely Youku. We first analyze the dynamics of content publication and content popularity for the online video service. Then, we propose a rich set of features and exploit various effective classification methods to estimate the future popularity level of an individual video in various scenarios. We show that the future popularity level of a video can be predicted even before the video's release, and by introducing the historical popularity information the prediction performance can be improved dramatically. In addition, we investigate the importance of each feature group and each feature in the popularity prediction, and further reveal the factors that may impact the video popularity. We also discuss how the early monitoring period influences the popularity level prediction. Our work provides an insight into the popularity of the newly published online videos, and demonstrates promising practical applications for content publishers,service providers, online advisers and network operators.展开更多
The COVID-19 pandemic forced many universities around the world to move their educational activities onto online platforms.We conducted a survey in which asking undergraduates at a Chinese university how they felt abo...The COVID-19 pandemic forced many universities around the world to move their educational activities onto online platforms.We conducted a survey in which asking undergraduates at a Chinese university how they felt about different aspects of online education during the pandemic.We received responses from 1,088 students.A majority of the students(67.9%)thought that physical classroom is better than online education and MOOCs.The students believed that teachers have improved their ability to teach online since the pandemic(67.3%)and online teaching is a suitable option in the current situation(65.8%).The students expressed satisfaction with the online educational resources and teachers’flexible use of online tools.However,the students felt that online education is stressful and affecting their health and social life.The pandemic has led to widespread use of online education,and we hope that online education can be better in the future.展开更多
The investigation that underpins the present article interprets the gaps of the social data continuum.It is designed to select a set of images from the“media noise”of the information society,and then describe those ...The investigation that underpins the present article interprets the gaps of the social data continuum.It is designed to select a set of images from the“media noise”of the information society,and then describe those that characterize the visual conceptualization of the ideas.The authors present the results of their 14-year research based on the original research methodology,and carried out in several stages(2006,2012,2017).The study is called“Fictional creatures of the mass media era.Russia,21 century”.In 2017,it is assumed that the overall youth international value agenda,an essential feature of which is the further reduction of the impact of advertising and brand communications,has been formed.Specific data are given in the article.展开更多
In the context of the new media age,the emergence and development of finance and economics courses along with online course resources have greatly enriched the presentation of teaching resources in colleges and univer...In the context of the new media age,the emergence and development of finance and economics courses along with online course resources have greatly enriched the presentation of teaching resources in colleges and universities.However,subjected to the flawed design and poor promotion of ideological and political contents,which are less popular,online finance and economics courses often do not reflect the meaning well or maximize the application of the courses’ideological and political reform.This paper explores the dilemma and reasons for the promotion of the courses’ideological and political content,in hope to provide suggestions for the design and promotion of ideological and political content in online finance and economics courses in colleges and universities.展开更多
The public content increasingly available on the Internet, especially in online forums, enables researchers to study society in new ways. However, qualitative analysis of online forums is very time consuming and most ...The public content increasingly available on the Internet, especially in online forums, enables researchers to study society in new ways. However, qualitative analysis of online forums is very time consuming and most content is not related to researchers’ interest. Consequently, analysts face the following problem: how to efficiently explore and select the content to be analyzed? This article introduces a new process to support analysts in solving this problem. This process is based on unsupervised machine learning techniques like hierarchical clustering and term co-occurrence network. A tool that helps to apply the proposed process was created to provide consolidated and structured results. This includes measurements and a content exploration interface.展开更多
[目的]提高近红外光谱技术在线检测柚子糖度的精度。[方法]采用自主研发的柚子在线无损检测设备采集3种光照区域的柚子的漫透射光谱数据,在650~950 nm的波长范围内采用标准正交变量变换(SNV)、多元散射校正(MSC)、归一化(normalize)、S...[目的]提高近红外光谱技术在线检测柚子糖度的精度。[方法]采用自主研发的柚子在线无损检测设备采集3种光照区域的柚子的漫透射光谱数据,在650~950 nm的波长范围内采用标准正交变量变换(SNV)、多元散射校正(MSC)、归一化(normalize)、SG一阶求导(savitzky-golay first order derivative,SG-1st)对原始数据进行预处理,使用自适应性加权算法(CARS)筛选反映柚子糖度的光谱特征,建立了偏最小二乘回归(PLSR)模型。使用未参与到建模的30个柚子样本进行在线验证。[结果]光照区域C结合SNV-CARS-PLSR方法的建模效果最优。其预测集的决定系数为0.95,均方根误差为0.30°Brix。在线验证时决定系数为0.90,均方根误差为0.58°Brix。模型对于柚子糖度具有较强的在线检测能力。[结论]在光斑直径为70 mm且位于柚子赤道上方20 mm的光照区域C的条件下采集的柚子光谱数据所建立的预测模型能更有效地实现柚子糖度的在线预测。展开更多
文摘Understanding the characteristics and predicting the popularity of the newly published online videos can provide direct implications in various contexts such as service design, advertisement planning, network management and etc. In this paper, we collect a real-world large-scale dataset from a leading online video service provider in China, namely Youku. We first analyze the dynamics of content publication and content popularity for the online video service. Then, we propose a rich set of features and exploit various effective classification methods to estimate the future popularity level of an individual video in various scenarios. We show that the future popularity level of a video can be predicted even before the video's release, and by introducing the historical popularity information the prediction performance can be improved dramatically. In addition, we investigate the importance of each feature group and each feature in the popularity prediction, and further reveal the factors that may impact the video popularity. We also discuss how the early monitoring period influences the popularity level prediction. Our work provides an insight into the popularity of the newly published online videos, and demonstrates promising practical applications for content publishers,service providers, online advisers and network operators.
文摘The COVID-19 pandemic forced many universities around the world to move their educational activities onto online platforms.We conducted a survey in which asking undergraduates at a Chinese university how they felt about different aspects of online education during the pandemic.We received responses from 1,088 students.A majority of the students(67.9%)thought that physical classroom is better than online education and MOOCs.The students believed that teachers have improved their ability to teach online since the pandemic(67.3%)and online teaching is a suitable option in the current situation(65.8%).The students expressed satisfaction with the online educational resources and teachers’flexible use of online tools.However,the students felt that online education is stressful and affecting their health and social life.The pandemic has led to widespread use of online education,and we hope that online education can be better in the future.
文摘The investigation that underpins the present article interprets the gaps of the social data continuum.It is designed to select a set of images from the“media noise”of the information society,and then describe those that characterize the visual conceptualization of the ideas.The authors present the results of their 14-year research based on the original research methodology,and carried out in several stages(2006,2012,2017).The study is called“Fictional creatures of the mass media era.Russia,21 century”.In 2017,it is assumed that the overall youth international value agenda,an essential feature of which is the further reduction of the impact of advertising and brand communications,has been formed.Specific data are given in the article.
基金2020 Higher Education Teaching Reform Project of uangdong Province by uangdong Provincial Education Department,“Exploration and Practice of Curriculum Civics and Reform of First-Class Finance and Economics Courses–Taking National Excellence Online Open Course‘Advanced Financial Accounting’as an Example”(Higher Education Document[2020]No.20/Serial No.598)uangdong Provincial Curriculum Civic Construction Reform Demonstration Course in 2020 by uangdong Provincial Education Department,“Intermediate Financial Accounting”(Higher Education Document[2021]No.4/Serial No.301)+1 种基金2021 uangdong Postgraduate Demonstration Course Construction Project by uangdong Provincial Education Department,“International Financial Management”(Higher Education Document[2021]No.2/2021SFKC078)uangdong Provincial Curriculum Civic Construction Reform Demonstration Course of 2020 by uangdong Provincial Education Department,“Microeconomics”(Higher Education Document[2021]No.4/Serial No.302)。
文摘In the context of the new media age,the emergence and development of finance and economics courses along with online course resources have greatly enriched the presentation of teaching resources in colleges and universities.However,subjected to the flawed design and poor promotion of ideological and political contents,which are less popular,online finance and economics courses often do not reflect the meaning well or maximize the application of the courses’ideological and political reform.This paper explores the dilemma and reasons for the promotion of the courses’ideological and political content,in hope to provide suggestions for the design and promotion of ideological and political content in online finance and economics courses in colleges and universities.
基金sponsored by CNPq(Brazilian Council for Research and Development),process 142620/2009-2FAPESP(State of Sao Paulo Research Foundation),process 2010/20564-8 and 2011/19850-9.
文摘The public content increasingly available on the Internet, especially in online forums, enables researchers to study society in new ways. However, qualitative analysis of online forums is very time consuming and most content is not related to researchers’ interest. Consequently, analysts face the following problem: how to efficiently explore and select the content to be analyzed? This article introduces a new process to support analysts in solving this problem. This process is based on unsupervised machine learning techniques like hierarchical clustering and term co-occurrence network. A tool that helps to apply the proposed process was created to provide consolidated and structured results. This includes measurements and a content exploration interface.
文摘[目的]提高近红外光谱技术在线检测柚子糖度的精度。[方法]采用自主研发的柚子在线无损检测设备采集3种光照区域的柚子的漫透射光谱数据,在650~950 nm的波长范围内采用标准正交变量变换(SNV)、多元散射校正(MSC)、归一化(normalize)、SG一阶求导(savitzky-golay first order derivative,SG-1st)对原始数据进行预处理,使用自适应性加权算法(CARS)筛选反映柚子糖度的光谱特征,建立了偏最小二乘回归(PLSR)模型。使用未参与到建模的30个柚子样本进行在线验证。[结果]光照区域C结合SNV-CARS-PLSR方法的建模效果最优。其预测集的决定系数为0.95,均方根误差为0.30°Brix。在线验证时决定系数为0.90,均方根误差为0.58°Brix。模型对于柚子糖度具有较强的在线检测能力。[结论]在光斑直径为70 mm且位于柚子赤道上方20 mm的光照区域C的条件下采集的柚子光谱数据所建立的预测模型能更有效地实现柚子糖度的在线预测。
