Recommendation Assistant System for Social Networks and Search Services Based on Population Filtering Algorithm
Sergey I. Rodzin, Victoria V. Bova, Yuri Kravchenko, Ol'ga Nikolaevna Rodzina, Lada S. Rodzina, Кулиев Эльмар Валерьевич · 2020
The authors present a hybrid model of a recommender system.The system includes the characteristics of collaborative and content filtering.Also, the article describes a population filtering algorithm and the architecture of a recommendation system based on it.The results of experimental studies on an array of benchmarks and an estimation of filtering efficiency based on a hybrid model and a population algorithm are presented.The results are compared with the traditional method of collaborative filtering using the Pearson correlation coefficient.