A well-performed recommender system for an e-commerce web site can help customers easily find favorite items and then increase the turnover of merchants, hence it is important for both customers and merchants. In most...A well-performed recommender system for an e-commerce web site can help customers easily find favorite items and then increase the turnover of merchants, hence it is important for both customers and merchants. In most of the existing recommender systems, only the purchase information is utilized data and the navigational and behavioral data are seldom concerned. In this paper, we design a novel recommender system for comprehensive online shopping sites. In the proposed recommender system, the navigational and behavioral data, such as access, click, read, and purchase information of a customer, are utilized to calculate the preference degree to each item; then items with larger preference degrees are recommended to the customer. The proposed method has several innovations and two of them are more remarkable: one is that nonexpendable items are distinguished from expendable ones and handled by a different way; another is that the interest shifting of customers are considered. Lastly, we structure an example to show the operation procedure and the performance of the proposed recommender system. The results show that the proposed recommender method with considering interest shifting is superior to Kim et al(2011) method and the method without considering interest shifting.展开更多
Sense of economic gain of e-commerce participation is an important aspect for evaluating the inclusiveness of e-commerce development.Based on the data of 6,242 rural households collected from the 2017 summer surveys c...Sense of economic gain of e-commerce participation is an important aspect for evaluating the inclusiveness of e-commerce development.Based on the data of 6,242 rural households collected from the 2017 summer surveys conducted by the China Institute for Rural Studies(CIRS),Tsinghua University,this paper evaluates the effects of e-commerce participation on rural households’sense of economic gain with the propensity score matching(PSM)method,and carries out grouped comparisons between poor and non-poor households.Speci fically,the“Self-evaluated income level relative to fellow villagers”measures respondents’sense of economic gain in the relative sense,and“Percentage of expected household income growth(reduction)in 2018 over 2017”measures future income growth expectation.Findings suggest that e-commerce participation signi ficantly increased sample households’sense of economic gain relative to their fellow villagers and their future income growth expectation.Yet grouped comparisons offer different conclusions:E-commerce participation increased poor households’sense of economic gain compared with fellow villagers more than it did for non-poor households.E-commerce participation did little to increase poor households’future income growth expectation.Like many other poverty reduction programs,pro-poor e-commerce helps poor households with policy preferences but have yet to help them foster skills to prosper in the long run.The sustainability and quality of perceived relative economic gain for poor households are yet to be further observed and examined.All poverty reduction initiatives including pro-poor e-commerce must help poor households develop endogenous growth momentum to prosper beyond the effects of short-term pro-poor policies.展开更多
China will set up a national carbon emissions trading market by the end of 2017, which is initially open to individual investors from the initial market for business and institutional investors. In this article, the m...China will set up a national carbon emissions trading market by the end of 2017, which is initially open to individual investors from the initial market for business and institutional investors. In this article, the main influencing factors and mechanism of individual participation in carbon trading market are studied by establishing multiple linear regression model. The study found that age,education level, length of account opening time, and risk attitude are the main factors influencing the participation of individual investors. Environmental awareness and environmental impact are less affected; information transparency and transaction risk also have an impact on the degree of individual investor participation; investment experience does not affect the participation of individual investors in the carbon trading market.展开更多
Purpose： Compared with traditional course materials used in the classroom, the massive open online course（MOOC） forum that delivers unlimited learning content to students has various advantages. Yet MOOC has also r...Purpose： Compared with traditional course materials used in the classroom, the massive open online course（MOOC） forum that delivers unlimited learning content to students has various advantages. Yet MOOC has also received criticism recently, notably the problem of extremely low participation rates in its discussion forums. This study aims to explore the correlation between forum activity and student course grade in MOOC, and identify more accurately the forum activity levels of participants and the quality of threads in MOOC.Design/Methodology/Approach： We crawled students’ tests, final exams, exercises, discussions performance data and total scores from a course in Chinese College MOOC from May 2014 to August 2014. And we use the data to analyze the correlation between Forum Participation and Course Performance based on nonparametric tests as well as multiple linear regressions with the software of R. The study provides definitions and algorithms of super degrees based on the supernetwork model to help find high-quality threads and active participants.Findings： A positive correlation between forum activity and course grade is found in this study. Students who participate in the forum have better performance than those who do not. Using the definitions and algorithms of super degrees in the supernetwork, forum activity levels of participants as well as the quality of threads they employ are identified. Research limitation： Only limited representative forum participants and threads are used to analyze the activity level and significance of the MOOC forum. Also, the study only investigates one Chinese course on information retrieval. More data and more data sources could be helpful in better understanding the MOOC forum phenomenon.Practical implications： As super degrees can reveal more latent information and recognize high-quality threads as well as active participants, these parameters can be used to assess needs to improve forum settings and alleviate the problem of low forum participation. The proposed super degrees can be applied in social network domains for further research.Originality/Value： Definitions and algorithms of super degrees are provided and used for forum analysis. Super degrees can be applied to find high-quality threads and active participants, which is beneficial to guide students to participate in these high-quality threads and have a better understanding of knowledge MOOC provides.展开更多
基金supported by theNational High-Tech R&D Program (863 Program) No. 2015AA01A705the National Natural Science Foundation of China under Grant No. 61572072+2 种基金the National Science and Technology Major Project No. 2015ZX03001041Fundamental Research Funds for the Central Universities No. FRF-TP-15-027A3Yunnan Provincial Department of Education Foundation Project (No. 2014Y087)
文摘A well-performed recommender system for an e-commerce web site can help customers easily find favorite items and then increase the turnover of merchants, hence it is important for both customers and merchants. In most of the existing recommender systems, only the purchase information is utilized data and the navigational and behavioral data are seldom concerned. In this paper, we design a novel recommender system for comprehensive online shopping sites. In the proposed recommender system, the navigational and behavioral data, such as access, click, read, and purchase information of a customer, are utilized to calculate the preference degree to each item; then items with larger preference degrees are recommended to the customer. The proposed method has several innovations and two of them are more remarkable: one is that nonexpendable items are distinguished from expendable ones and handled by a different way; another is that the interest shifting of customers are considered. Lastly, we structure an example to show the operation procedure and the performance of the proposed recommender system. The results show that the proposed recommender method with considering interest shifting is superior to Kim et al(2011) method and the method without considering interest shifting.
基金sponsored by the Youth Program of the National Social Sciences Fund of China (NSSFC)“Study on the Multidimensional Poverty of Rural Elderly Population and Targeted Poverty Reduction”(Grant No. 17CGL030)the Youth Research Start-Up Program of the Chinese Academy of Social Sciences (CASS)“Study on the Development Mechanism of Inclusive E-Commerce in the Countryside”Program of the National Natural Science Foundation of China (NSFC)“Research on the Mechanism and Effects of Precise Poverty Alleviation and Internet Poverty Alleviation in Rural China”(Grant No. 71661147001)。
文摘Sense of economic gain of e-commerce participation is an important aspect for evaluating the inclusiveness of e-commerce development.Based on the data of 6,242 rural households collected from the 2017 summer surveys conducted by the China Institute for Rural Studies(CIRS),Tsinghua University,this paper evaluates the effects of e-commerce participation on rural households’sense of economic gain with the propensity score matching(PSM)method,and carries out grouped comparisons between poor and non-poor households.Speci fically,the“Self-evaluated income level relative to fellow villagers”measures respondents’sense of economic gain in the relative sense,and“Percentage of expected household income growth(reduction)in 2018 over 2017”measures future income growth expectation.Findings suggest that e-commerce participation signi ficantly increased sample households’sense of economic gain relative to their fellow villagers and their future income growth expectation.Yet grouped comparisons offer different conclusions:E-commerce participation increased poor households’sense of economic gain compared with fellow villagers more than it did for non-poor households.E-commerce participation did little to increase poor households’future income growth expectation.Like many other poverty reduction programs,pro-poor e-commerce helps poor households with policy preferences but have yet to help them foster skills to prosper in the long run.The sustainability and quality of perceived relative economic gain for poor households are yet to be further observed and examined.All poverty reduction initiatives including pro-poor e-commerce must help poor households develop endogenous growth momentum to prosper beyond the effects of short-term pro-poor policies.
文摘China will set up a national carbon emissions trading market by the end of 2017, which is initially open to individual investors from the initial market for business and institutional investors. In this article, the main influencing factors and mechanism of individual participation in carbon trading market are studied by establishing multiple linear regression model. The study found that age,education level, length of account opening time, and risk attitude are the main factors influencing the participation of individual investors. Environmental awareness and environmental impact are less affected; information transparency and transaction risk also have an impact on the degree of individual investor participation; investment experience does not affect the participation of individual investors in the carbon trading market.
基金supported by grants from the National Natural Science Foundation of China (Grant Numbers: 71373194 and 71573197)the Fundamental Research Funds for the Central Universities
文摘Purpose： Compared with traditional course materials used in the classroom, the massive open online course（MOOC） forum that delivers unlimited learning content to students has various advantages. Yet MOOC has also received criticism recently, notably the problem of extremely low participation rates in its discussion forums. This study aims to explore the correlation between forum activity and student course grade in MOOC, and identify more accurately the forum activity levels of participants and the quality of threads in MOOC.Design/Methodology/Approach： We crawled students’ tests, final exams, exercises, discussions performance data and total scores from a course in Chinese College MOOC from May 2014 to August 2014. And we use the data to analyze the correlation between Forum Participation and Course Performance based on nonparametric tests as well as multiple linear regressions with the software of R. The study provides definitions and algorithms of super degrees based on the supernetwork model to help find high-quality threads and active participants.Findings： A positive correlation between forum activity and course grade is found in this study. Students who participate in the forum have better performance than those who do not. Using the definitions and algorithms of super degrees in the supernetwork, forum activity levels of participants as well as the quality of threads they employ are identified. Research limitation： Only limited representative forum participants and threads are used to analyze the activity level and significance of the MOOC forum. Also, the study only investigates one Chinese course on information retrieval. More data and more data sources could be helpful in better understanding the MOOC forum phenomenon.Practical implications： As super degrees can reveal more latent information and recognize high-quality threads as well as active participants, these parameters can be used to assess needs to improve forum settings and alleviate the problem of low forum participation. The proposed super degrees can be applied in social network domains for further research.Originality/Value： Definitions and algorithms of super degrees are provided and used for forum analysis. Super degrees can be applied to find high-quality threads and active participants, which is beneficial to guide students to participate in these high-quality threads and have a better understanding of knowledge MOOC provides.
