Usage of Inductive Algorithms for Building a Search Results Ranking Model Based on Visitor Rating Evaluations

摘要

The article describes the building of the search results ranking model based on the user evaluation of web resource quality and usability. Such ranking models are subjective for each user. This is achieved due to the fact that the main influence on the model has the user's trust rank for the expert's evaluation on which basis it is built. To determine the trust rank, the generalized iterative algorithm of the group method of data handling was applied, which has already showed high accuracy in the experiments on building Google ranking model.