Algebraic model for knowledge representation in situational awareness systems

Design of the architecture of an intelligent system for distributing commercial content in the internet space based on SEO-technologies, neural networks, and Machine Learning

“…R-precision equals precision of content at level n for n equal to the amount of relevant content for a given query [67]. This metric replaces precision at level in those cases when it is necessary to account for a big difference in the amount of relevant content for different queries [68].…”

Development of the quantitative method for automated text content authorship attribution based on the statistical analysis of N-grams distribution

“…Whatever the parameters are, there is always the possibility that two or more participants are close by these parameters due to random coincidence [107]. That is why in practice it is sufficient for a parameter to make it possible to distinguish between different subsets of authors, that is, there should be quite a large number of subsets of the authors, for who mean values of the parameter are significantly different [108]. The parameter, obviously, will not help distinguish between the authors' texts from one subset, but will enable us to distinguish confidently between the texts of the authors that got in different subsets [1][2][3][4][5][6][7].…”

Methods of Building Intelligent Decision Support Systems Based on Adaptive Ontology

“…The solution as transition from the initial to the final state was found using methods suitable for solving such problems, [17][18][19][20][21][22][23]. For semantic problems of activities planning it is hard to say anything about Goal state [24][25][26][27][28]. For example, problem in text documents quasi-referencing as the ultimate goal is quasi-reference, but it can only be assumed what it should look like.…”