title: ÐÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¸ ÑÐ¸Ð»ÑÐ¼Ð¾Ð² Ð½Ð° Ð¾ÑÐ½Ð¾Ð²Ðµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¼Ð°Ð³Ð¸ÑÑÑÐ°
titleType: Subtitle
title: Movie recommendation software based on neural networks
Creators: name: Ð¨ÐµÐ½, ÐÐµÑÑ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: ÐÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð¤Ð¸Ð»ÑÑÑÐ°ÑÐ¸Ñ
ÐÑÑÐ¸ÑÐ»Ð¸ÑÐµÐ»ÑÐ½ÑÐµ Ð¼Ð°ÑÐ¸Ð½Ñ ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½ÑÐµ Ð¿ÐµÑÑÐ¾Ð½Ð°Ð»ÑÐ½ÑÐµ
ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ
recommender systems

description: Ð¡ Ð±ÑÑÑÑÑÐ¼ ÑÐ¾ÑÑÐ¾Ð¼ ÐÐ½ÑÐµÑÐ½ÐµÑÐ° ÐºÐ¾Ð»Ð¸ÑÐµÑÑÐ²Ð¾ Ð¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÐµÐ»ÐµÐ¹ ÐÐ½ÑÐµÑÐ½ÐµÑÐ° Ð¸ Ð¾Ð±ÑÐµÐ¼ ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¾Ð½Ð½Ð¾Ð¹ Ð½Ð°Ð³ÑÑÐ·ÐºÐ¸ Ð·Ð½Ð°ÑÐ¸ÑÐµÐ»ÑÐ½Ð¾ Ð²Ð¾Ð·ÑÐ°ÑÑÐ°ÑÑ. Ð­ÑÐ¾Ñ ÑÐ¾ÑÑ ÑÐ¸ÑÑÐ¾Ð²Ð¾Ð¹ Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸Ð¸ Ð´ÐµÐ½Ñ Ð¾ÑÐ¾ Ð´Ð½Ñ ÑÐ²ÐµÐ»Ð¸ÑÐ¸Ð²Ð°ÐµÑ Ð²Ð°Ð¶Ð½Ð¾ÑÑÑ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼. Ð­ÑÐ¸ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑÑÑ Ð²Ð¾ Ð¼Ð½Ð¾Ð³Ð¸Ñ Ð¾Ð±Ð»Ð°ÑÑÑÑ, ÑÐ°ÐºÐ¸Ñ ÐºÐ°Ðº ÑÐ¸Ð»ÑÐ¼Ñ, Ð¼ÑÐ·ÑÐºÐ°, ÑÐ»ÐµÐºÑÑÐ¾Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ Ð½Ð° Ð²ÐµÐ±-ÑÐ°Ð¹ÑÐ°Ñ. Ð¡ÑÑÐµÑÑÐ²ÑÐµÑ Ð¼Ð½Ð¾Ð¶ÐµÑÑÐ²Ð¾ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐ¸ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐµÐ»ÑÐ½ÑÑ ÑÐ¸ÑÑÐµÐ¼. ÐÐ´Ð½Ð¸Ð¼ Ð¸Ð· ÑÐ°ÐºÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐ²Ð»ÑÐµÑÑÑ Ð³Ð¸Ð±ÑÐ¸Ð´Ð½ÑÐ¹ Ð¼ÐµÑÐ¾Ð´. ÐÐ¸Ð±ÑÐ¸Ð´Ð½ÑÐµ ÑÐ¸ÑÑÐµÐ¼Ñ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¹ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·ÑÑÑ Ð´Ð²Ð° Ð¸Ð»Ð¸ Ð±Ð¾Ð»ÐµÐµ Ð¼ÐµÑÐ¾Ð´Ð° ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ð¸ Ð´Ð»Ñ ÑÐ¾Ð·Ð´Ð°Ð½Ð¸Ñ Ð»ÑÑÑÐ¸Ñ Ð¸ ÑÐ¾ÑÐ½ÑÑ Ð¼Ð¾Ð´ÐµÐ»ÐµÐ¹ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¹. Ð ÑÑÐ¾Ð¼ Ð´Ð¾ÐºÑÐ¼ÐµÐ½ÑÐµ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÐµÐ½Ð° Ð³Ð¸Ð±ÑÐ¸Ð´Ð½Ð°Ñ ÑÐ¸ÑÑÐµÐ¼Ð° ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´Ð°ÑÐ¸Ð¹ Ð´Ð»Ñ Ð½Ð°Ð±Ð¾ÑÐ° Ð´Ð°Ð½Ð½ÑÑ ÑÐ¸Ð»ÑÐ¼Ð° Movielens. ÐÑÐµÐ´Ð»Ð°Ð³Ð°ÐµÐ¼ÑÐ¹ Ð¼ÐµÑÐ¾Ð´ Ð¿ÑÐµÐ´ÑÑÐ°Ð²Ð»ÑÐµÑ ÑÐ¾Ð±Ð¾Ð¹ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ ÐºÐ¾Ð½ÑÐµÐ½ÑÐ½Ð¾Ð¹ ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ð¸ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÐºÐ¾ÑÐ¸Ð½ÑÑÐ½Ð¾Ð³Ð¾ ÑÑÐ¾Ð´ÑÑÐ²Ð° Ð¸ Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð½Ð° Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÑÐ¾Ð²Ð¼ÐµÑÑÐ½Ð¾Ð¹ ÑÐ¸Ð»ÑÑÑÐ°ÑÐ¸Ð¸ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ SVD. Ð­ÑÐ¾Ñ Ð½Ð¾Ð²ÑÐ¹ Ð¿Ð¾Ð´ÑÐ¾Ð´ Ð¿Ð¾Ð²ÑÑÐ°ÐµÑ ÑÐ¾ÑÐ½Ð¾ÑÑÑ ÑÐµÐºÐ¾Ð¼ÐµÐ½Ð´ÑÐµÐ¼ÑÑ ÑÐ¸Ð»ÑÐ¼Ð¾Ð². Ð, Ð½Ð°ÐºÐ¾Ð½ÐµÑ, Ð¿ÑÐ¾Ð²Ð¾Ð´Ð¸ÑÑÑ Ð¾ÑÐµÐ½ÐºÐ° Ð¿ÑÐµÐ´Ð»Ð¾Ð¶ÐµÐ½Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸.
description: With the rapid growth of the internet, the number of internet users and the amount of digital information load are increasing tremendously. This growth in digital information has increased the importance of recommender systems day by day. These systems are used for many areas such as movies, music, e-learning on websites. There are many methods to develop recommendation systems. One of these methods is the Hybrid method. Hybrid recommendation systems use two or more filtering techniques to create better and accurate recommendation models. This paper introduces a hybrid recommender system for the movie dataset Movielens. The proposed method is the implementation of Content-Based Filtering by Using Cosine Similarity and Model-based Collaborative Filtering by Using SVD. This new approach increases the accuracy of the recommended movies. And finally, evaluation is done for the proposed model.