información sobre nuevas aplicaciones tecnológicas aplicables para la arquitectura sustentable, con el objeto de reducir la contaminación ambiental y crear espacios mas naturales a travez de los tiempos.
A Study of Neural Network Learning-Based Recommender Systemtheijes
A recommender system sorts and recommends the information which meets personal preferences among a huge amount of data provided by e-commerce. In particular, collaborative filtering (CF) is the most widely used technique in these recommendation systems. This method finds neighboring users who have similar preferences with particular users and recommends the items preferred by the former. This study proposes a neural network learning model as a new technique to find neighboring users using the collaborative filtering method. This kind of neural network learning model takes care of a sparseness problem during the analysis stage among those related with target users. The proposed method was tested with MovieLens data sets, and the results showed that precision improved by 6.7%.
información sobre nuevas aplicaciones tecnológicas aplicables para la arquitectura sustentable, con el objeto de reducir la contaminación ambiental y crear espacios mas naturales a travez de los tiempos.
A Study of Neural Network Learning-Based Recommender Systemtheijes
A recommender system sorts and recommends the information which meets personal preferences among a huge amount of data provided by e-commerce. In particular, collaborative filtering (CF) is the most widely used technique in these recommendation systems. This method finds neighboring users who have similar preferences with particular users and recommends the items preferred by the former. This study proposes a neural network learning model as a new technique to find neighboring users using the collaborative filtering method. This kind of neural network learning model takes care of a sparseness problem during the analysis stage among those related with target users. The proposed method was tested with MovieLens data sets, and the results showed that precision improved by 6.7%.
A través de este tutorial los usuarios de la Biblioteca Víctor M. Pons Gil de la Universidad de Puerto Rico en Cayey obtendrán las destrezas y conocimientos necesarios para renovar sus préstamos de libros a través del catálogo en línea.
Optimization of ZLD in Distillery Industry by Reverse Osmosis Process for Pre...ijceronline
In this study, the effects of Operating Pressure, Potential Hydrogen, Oxidation Reduction Potential and Anti Scaling Agent on multi responses like Permeate, COD, Total Solids, Conductivity and Hardness in the Reverse Osmosis Process were experimentally investigated on RO 8100 ST8 PT44 400Wl machine. The settings of RO parameters were determined by using Taguchi’s experimental design method. Orthogonal arrays of Taguchi, the signal-to-noise (S/N) ratio, the analysis of variance (ANOVA) are employed to find the optimal levels and to analyze the effect of the RO parameters. Results show that potential of hydrogen, operating pressure, oxidation reduction potential and anti scaling agent are the four Parameters that influence the Permit more effectively and COD, Total Solids, Conductivity and Hardness respectively. Finally, the ranges for best RO conditions are proposed for ZLD process.
A través de este tutorial los usuarios de la Biblioteca Víctor M. Pons Gil de la Universidad de Puerto Rico en Cayey obtendrán las destrezas y conocimientos necesarios para renovar sus préstamos de libros a través del catálogo en línea.
Optimization of ZLD in Distillery Industry by Reverse Osmosis Process for Pre...ijceronline
In this study, the effects of Operating Pressure, Potential Hydrogen, Oxidation Reduction Potential and Anti Scaling Agent on multi responses like Permeate, COD, Total Solids, Conductivity and Hardness in the Reverse Osmosis Process were experimentally investigated on RO 8100 ST8 PT44 400Wl machine. The settings of RO parameters were determined by using Taguchi’s experimental design method. Orthogonal arrays of Taguchi, the signal-to-noise (S/N) ratio, the analysis of variance (ANOVA) are employed to find the optimal levels and to analyze the effect of the RO parameters. Results show that potential of hydrogen, operating pressure, oxidation reduction potential and anti scaling agent are the four Parameters that influence the Permit more effectively and COD, Total Solids, Conductivity and Hardness respectively. Finally, the ranges for best RO conditions are proposed for ZLD process.