Identifying duplicated ads on property selling and renting websites

Abstract

Abstract The article presents a solution for the problem of identifying duplicated ads on property selling websites. This task is formulated in the form of a classification problem: the input parameters are identified then divided into basic and non-basic, as well as a class-forming feature. It is also necessary to consider the preliminary data of processed property objects, which is necessary for proper application of the classification methods. The following is a brief review of chosen modern algorithms for solving classification problems, namely: decision trees, artificial neural networks, logistic regression. As a result of experiments, it was revealed that Artificial neural network gives the most accurate result therefore, this algorithm is suitable for the solution of the stated problem.