Research of recommender systems’ algorithms.
Elena Chepikova, Elena Savkova, Maksim Privalov.
Made analysis of the existing types of recommender systems and performed investigation of the algorithms used in the systems which are based on collaborative filtering approach. Developed set of the algorithms designed to be used in hybrid recommender system. Proposed solution of the “cold start problem” that could be applied to initially registered users and new films added to the system. Keywords: Algorithms of recommender systems, hybrid method, collaborative filtering, the problem of "cold start", using of the algorithm SVD (Singular Value Decomposition) in recommendation systems.
