This article analyzes the current state of the models and methods of building recommendation systems. The basic classes of problems that solve the recommendation system are highlighted. The features of the method collaborative filtering are shown. Developed a method for calculating the similarity coefficients, taking into account the sparseness of ratings vectors of goods and people.
The paper analyzes the current state of development and application of recommendation systems, models and methods of construction of recommendation systems. It is shown that the most widely used method came into collaborative filtering. The method of fuzzy clustering is developed, which improves the accuracy of predicting ratings of products.
This article describes the procedures of data mining based on prediction of time series for land cadastre data. Principles, required for the development of the method of forecasting using time series are examined. Mathematical model for serious prediction is developed. The task of prediction of land resources used in Striy District Lviv Region is technically realized.
Procedures of data mining based on prediction of time series for land cadastre data are described in this article. Principles required for the development of the method of forecasting using time serious are examined. Mathematical model is developed. The task of predicting land resources use in Striyskyi Park in Lviv is technically realized.
New information technologies contribute to optimizing decision-making in business. In the article the structure and the practical implementation of information systems for providing services in the restaurant business are presented.
New information, telecommunication technologies contribute to the optimization in the management of studies. In the article the author suggests the structure of IS analysis of support's guide.