An Intelligent Recommender System for Web Resource Discovery and Selection
In: Intelligent Decision and Policy Making Support Systems; Studies in Computational Intelligence, S. 113-140
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In: Intelligent Decision and Policy Making Support Systems; Studies in Computational Intelligence, S. 113-140
In: International journal of business data communications and networking: IJBDCN ; an official publication of the Information Resources Management Association, Band 1, Heft 1, S. 17-32
ISSN: 1548-064X
This paper describes a Web filtering system "WebGuard," which aims to automatically detect and filter adult content on the Web. WebGuard uses data mining techniques to classify URLs into two classes: suspect URLs and normal URLs. The suspect URLs are stored in a database, which is constantly and automatically updated in order to reflect the highly dynamic evolution of the Web. When working, WebGuard simply captures a user's URL, matches it with the suspect URLs stored in the database and takes an appropriate action — filtering or blocking — according to the result of the analysis. We started out with a study of most existing software so as to get to know the possibilities and functionalities available on the market at the moment. This phase enabled us to better evaluate the performances of our product as it was being developed. Thus, the second phase of our work was devoted to research into the usual algorithms regarding their advantages and drawbacks. Having gathered this knowledge, we are currently implementing a system that will combine several algorithms in order to increase the software's performance. Our preliminary results show that it can detect and filter adult content effectively.
In: Asian Development Bank Economics Working Paper Series No. 616
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Working paper
Purpose: The purpose of this paper investigates the subject behavior of Energy conservation and emission reduction (ECER) based on structured classification of the organization types of FLF supply chain, and explores reasonable behavior incentive mechanism for ECER of FLF supply chain in China. Design/methodology/approach: This paper classifies the organization subjects of FLF supply chain, and different characteristics of organization subjects are compared in detail. ECER behavior incentive mechanism modeling of FLF supply chain is explored by taking advantage of principal-agent model in view of asymmetry information. Incentives issue of different operating subjects is discussed as enlightenment of the model. Findings: Three types of the organization subjects of FLF supply chain in China have been identified as: loose organization, semi-compact organization and compact organization.Subjects of different types have different abilities to conduct ECER work. Government needs to propose differentiation polices of incentive compensation for different operating subjects, widen the gap of differentiated subsidies/rewards for different investment levels on ECER conducted by different operating subjects of FLF supply chain. Research limitations/implications: It will take long-term unremitting efforts to achieve the target of ECER work for FLF supply chain in China, the dynamic issues and simulation modeling on behavior incentive mechanism of ECER should be developed in future research. Practical implications: Clear understanding of structured classification of the organization subject types of FLF supply chain and the behavior incentive mechanism for ECER, will help government to improve the ECER work in an efficient and effective way. Originality/value: Research to behavior incentive mechanism of ECER has important theoretical value and practical significance. This paper contributes to distinguish three types of operating subjects of FLF supply chain in China, put forward the behavior incentive mechanism of ECER to support the government to improve the ECER work scientifically.
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Purpose: The purpose of this paper investigates the subject behavior of Energy conservation and emission reduction (ECER) based on structured classification of the organization types of FLF supply chain, and explores reasonable behavior incentive mechanism for ECER of FLF supply chain in China. Design/methodology/approach: This paper classifies the organization subjects of FLF supply chain, and different characteristics of organization subjects are compared in detail. ECER behavior incentive mechanism modeling of FLF supply chain is explored by taking advantage of principal-agent model in view of asymmetry information. Incentives issue of different operating subjects is discussed as enlightenment of the model. Findings: Three types of the organization subjects of FLF supply chain in China have been identified as: loose organization, semi-compact organization and compact organization. Subjects of different types have different abilities to conduct ECER work. Government needs to propose differentiation polices of incentive compensation for different operating subjects, widen the gap of differentiated subsidies/rewards for different investment levels on ECER conducted by different operating subjects of FLF supply chain. Research limitations/implications: It will take long-term unremitting efforts to achieve the target of ECER work for FLF supply chain in China, the dynamic issues and simulation modeling on behavior incentive mechanism of ECER should be developed in future research. Practical implications: Clear understanding of structured classification of the organization subject types of FLF supply chain and the behavior incentive mechanism for ECER, will help government to improve the ECER work in an efficient and effective way. Originality/value: Research to behavior incentive mechanism of ECER has important theoretical value and practical significance. This paper contributes to distinguish three types of operating subjects of FLF supply chain in China, put forward the behavior incentive mechanism of ECER to support the government to improve the ECER work scientifically. ; Peer Reviewed
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Purpose: The purpose of this paper investigates the subject behavior of Energy conservation and emission reduction (ECER) based on structured classification of the organization types of FLF supply chain, and explores reasonable behavior incentive mechanism for ECER of FLF supply chain in China. Design/methodology/approach: This paper classifies the organization subjects of FLF supply chain, and different characteristics of organization subjects are compared in detail. ECER behavior incentive mechanism modeling of FLF supply chain is explored by taking advantage of principal-agent model in view of asymmetry information. Incentives issue of different operating subjects is discussed as enlightenment of the model. Findings: Three types of the organization subjects of FLF supply chain in China have been identified as: loose organization, semi-compact organization and compact organization. Subjects of different types have different abilities to conduct ECER work. Government needs to propose differentiation polices of incentive compensation for different operating subjects, widen the gap of differentiated subsidies/rewards for different investment levels on ECER conducted by different operating subjects of FLF supply chain. Research limitations/implications: It will take long-term unremitting efforts to achieve the target of ECER work for FLF supply chain in China, the dynamic issues and simulation modeling on behavior incentive mechanism of ECER should be developed in future research. Practical implications: Clear understanding of structured classification of the organization subject types of FLF supply chain and the behavior incentive mechanism for ECER, will help government to improve the ECER work in an efficient and effective way. Originality/value: Research to behavior incentive mechanism of ECER has important theoretical value and practical significance. This paper contributes to distinguish three types of operating subjects of FLF supply chain in China, put forward the behavior incentive mechanism of ECER to support the government to improve the ECER work scientifically. ; Peer Reviewed
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In: Journal of development economics, Band 171, S. 103322
ISSN: 0304-3878
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In: Asian Development Bank Economics Working Paper Series No. 702
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In: Structural change and economic dynamics, Band 56, S. 74-92
ISSN: 1873-6017
We use cross-country panel data to examine the effects of a variety of nonpharmaceutical interventions used by governments to suppress the spread of coronavirus disease (COVID-19). We find that while lockdown measures lead to reductions in disease transmission rates as captured by the reproduction number, Rt, gathering bans appear to be more effective than workplace and school closures, both of which are associated with large declines in gross domestic product. Further, our estimates suggest that stay-at-home orders are less effective in countries with larger family size and in developing economies. We also find that incentives are very important, as efforts at ramping up testing and tracing COVID-19 cases are more effective in controlling the spread of disease in countries with greater coverage of paid sick leave benefits. As future waves of the disease emerge, the use of more targeted and better incentivized measures can help keep the epidemic controlled at lower economic cost.
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In: Asian Development Bank Economics Working Paper Series No. 625
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Working paper
In: Emerging markets, finance and trade: EMFT, Band 56, Heft 6, S. 1293-1311
ISSN: 1558-0938
In: Asian Development Bank Economics Working Paper Series No. 556 (September, 2018)
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Working paper
In: CEJ-D-22-01793
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