Online shopping has become an important and popular way of life. With the rapid C2C platform development, the credit problem in online shopping was being discussed. Serious loss of credit will leads to bad online busi...
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ISBN:
(纸本)9781479970063
Online shopping has become an important and popular way of life. With the rapid C2C platform development, the credit problem in online shopping was being discussed. Serious loss of credit will leads to bad online business environment. However, till now lots of researchers just focus on seller reputation model to solve credit problem, thus buyer reputation model is seldom being considered. To solve the above problem, we proposed a Computational Buyer Reputation Model for C2C e-Commerce platform, i.e. CBRM. Five buyer reputation indicators, including transactions amount, seller ratings, buyer operations, chargeback ratio and real name authentication, were integrated into CBRM. By using AHP to distribute various indicator weights, we can obtain numeric value of buyer reputation. Therefore, these values can be used for sellers to choose appropriate buyers to deal with. Experiment results showed the efficiency and effectiveness of CBRM.
With the rapid development of new economy, China lubricant enterprises urgently need to implement effective Customer Relationship Management (CRM) to win the market. By constructing and applying CRM, lubricant enterpr...
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When unlabeled data is selected for updating classifier, it is easy to introduce noise or unreliable data. In this paper, a semi-supervised collaboration-training based on genetic algorithm (SCGA) is proposed. This al...
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ISBN:
(纸本)9781479902590
When unlabeled data is selected for updating classifier, it is easy to introduce noise or unreliable data. In this paper, a semi-supervised collaboration-training based on genetic algorithm (SCGA) is proposed. This algorithm uses optimization function of genetic algorithm to help collaboration-training algorithm to select valuable unlabeled data. Experiments on UCI datasets prove that the algorithm is useful for updating classifiers effectively and can prevent the introduction of noise.
This article is concerned with blow-up solutions of the Cauchy problem of critical nonlinear SchrSdinger equation with a Stark potential. By using the variational characterization of corresponding ground state, the li...
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This article is concerned with blow-up solutions of the Cauchy problem of critical nonlinear SchrSdinger equation with a Stark potential. By using the variational characterization of corresponding ground state, the limiting behavior of blow-up solutions with critical and small super-critical mass are obtained in the natural energy space ∑ = {u ∈ H^1; fRN |x|^2|u|^2dx 〈 +∞)}. Moreover, an interesting concentration property of the blow-up solutions with critical mass is gotten, which reads that |u(t, x)|^2→ ||Q||L^2 2 δx=x1 as t → T.
In this paper, we propose a novel approach for controlling of crowd paths in real-time virtual environments. The proposed algorithm focus on addressing two problems: (1) the grid-based distance propagating for control...
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The basic idea of identifying the motion blurred direction using the directional derivative is that the original image be an isotropic first-order Markov random process. However, the real effect of this method is not ...
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In response to the changes in the registration procedure at the universities, i.e. one university has several districts and different registration requirements;this paper proposes the distributed digital registration ...
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Accident reconstruction is not only an important way for responsibility identification or cause analysis in traffic accident but also an important step in study on traffic safety improvement. In this work, a type of p...
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In this paper, we study blow-up solutions of the Cauchy problem to the L2 critical nonlinear Schrdinger equation with a Stark potential. Using the variational characterization of the ground state for nonlinear Schr...
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In this paper, we study blow-up solutions of the Cauchy problem to the L2 critical nonlinear Schrdinger equation with a Stark potential. Using the variational characterization of the ground state for nonlinear Schrdinger equation without any potential, we obtain some concentration properties of blow-up solutions, including that the origin is the blow-up point of the radial blow-up solutions, the phenomenon of L2-concentration and rate of L2-concentration of blow-up solutions.
Accident reconstruction is not only an important way for responsibility identification or cause analysis in traffic accident but also an important step in study on traffic safety improvement. In this work, a type of p...
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ISBN:
(纸本)9781467323635
Accident reconstruction is not only an important way for responsibility identification or cause analysis in traffic accident but also an important step in study on traffic safety improvement. In this work, a type of physical analysis and an assumption model for traffic accident reconstruction, together with their respective realization methods, were introduced and described; simulation technology in two-vehicle collision accident was investigated; 2-Dimension impact calculation of velocity variations before and after collision was specifically given; computer simulation system was established to analyze and reconstruct impact velocities and vehicle behaviors according to data measured in accident scene; software application in practice was also briefly discussed.
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