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The paper sets a methodology for motivating multinational organizations to work together in an atmosphere of international collaboration. We propose that there is an effort for e-intermediary between buyers and suppliers to work together so that the buyers and suppliers can work together. We expect this method, through a selection of order quantities and price penalties by market intermediaries, to enable the optimal choice of supply capability by market intermediaries.

The exponential development of the global website and the advent of electronic commerce have made the processing of information more than powerful analyzes in order to acquire the most useful results. It can be a challenging and time consuming method to search information on such large websites. Recommended programs can allow users to access knowledge by giving custom advice to them. It helps to make decisions without adequate personal knowledge. In this article we increase the scalability, sparsity and precision of the device suggested by solving the issue of sparseness and cold start. The correlations between items are usually determined by means of techniques such as the similarity between items and cosines. The 'Coldstart' problem cannot be solved with these techniques by using a statistical approximation principle that allows to improve improved rating estimating methods The dataset is the 'Film Lens' dataset. Mean absolute error and error ratio are the metrics used (ER). Some students at our college checked the method and it was found that the issue of 'Cold Start' and 'Sparsity' was successfully solved.

The paper sets a methodology for motivating multinational organizations to work together in an atmosphere of international collaboration. We propose that there is an effort for e-intermediary between buyers and suppliers to work together so that the buyers and suppliers can work together. We expect this method, through a selection of order quantities and price penalties by market intermediaries, to enable the optimal choice of supply capability by market intermediaries.

The paper sets a methodology for motivating multinational organizations to work together in an atmosphere of international collaboration. We propose that there is an effort for e-intermediary between buyers and suppliers to work together so that the buyers and suppliers can work together. We expect this method, through a selection of order quantities and price penalties by market intermediaries, to enable the optimal choice of supply capability by market intermediaries.

The exponential development of the global website and the advent of electronic commerce have made the processing of information more than powerful analyzes in order to acquire the most useful results. It can be a challenging and time consuming method to search information on such large websites. Recommended programs can allow users to access knowledge by giving custom advice to them. It helps to make decisions without adequate personal knowledge. In this article we increase the scalability, sparsity and precision of the device suggested by solving the issue of sparseness and cold start. The correlations between items are usually determined by means of techniques such as the similarity between items and cosines. The 'Coldstart' problem cannot be solved with these techniques by using a statistical approximation principle that allows to improve improved rating estimating methods The dataset is the 'Film Lens' dataset. Mean absolute error and error ratio are the metrics used (ER). Some students at our college checked the method and it was found that the issue of 'Cold Start' and 'Sparsity' was successfully solved.

The paper sets a methodology for motivating multinational organizations to work together in an atmosphere of international collaboration. We propose that there is an effort for e-intermediary between buyers and suppliers to work together so that the buyers and suppliers can work together. We expect this method, through a selection of order quantities and price penalties by market intermediaries, to enable the optimal choice of supply capability by market intermediaries.

The RFID-based vehicle collection program is intended to better handle toll operations through technology that aims to streamline the flow of vehicles. The purpose of this work is to plan, introduce and promote the automated operation of the car selection system (VTS). The Vehicle Toll Collection Device in this paper automatically detects vehicles and gathers machine-readable details on tolls for automobiles driving in the toll road. This knowledge is instigated by the modification and installation of at least one vehicle with a moving vehicle detection device. The computerized control device located along the toll line will transmit the registration signal as the car is reaching the registration point and will determine the toll to be debited and transfer the toll electronically to the account of the individual vehicle. This device helps a car to proceed beyond the scan point with no halting, thereby providing commuters with optimum comfort, speeding up traffic movement and reducing the need for human capital on highways

The RFID-based vehicle collection program is intended to better handle toll operations through technology that aims to streamline the flow of vehicles. The purpose of this work is to plan, introduce and promote the automated operation of the car selection system (VTS). The Vehicle Toll Collection Device in this paper automatically detects vehicles and gathers machine-readable details on tolls for automobiles driving in the toll road. This knowledge is instigated by the modification and installation of at least one vehicle with a moving vehicle detection device. The computerized control device located along the toll line will transmit the registration signal as the car is reaching the registration point and will determine the toll to be debited and transfer the toll electronically to the account of the individual vehicle. This device helps a car to proceed beyond the scan point with no halting, thereby providing commuters with optimum comfort, speeding up traffic movement and reducing the need for human capital on highways