Movie Recommendation System Using Item Based Collaborative Filtering

Poonam Sharma, L. Yadav
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引用次数: 6

Abstract

In today's digital world where there is an endless variety of content consumed such as books, videos, articles, Films, etc., finding material of one's choice has become an infallible task. Digital content on the other hand Providers want to engage more and more users in their service for maximum time. Where is it the recommender system comes into picture where content providers advise users by content User choice in this paper we have proposed a movie recommendation system .Purpose of movie recommendation system aims to provide users with accurate movie recommendations. Usually basic recommendation system to make recommendations consider one of the following factors; User preference known as content based Filtering or the preference of similar users known as collaborative filtering. To create a stable and accurate recommender system will use of content based filtering.
基于项目协同过滤的电影推荐系统
在今天的数字世界里,有各种各样的内容被消费,如书籍、视频、文章、电影等,找到自己选择的材料已经成为一项绝对可靠的任务。另一方面,数字内容提供商希望吸引越来越多的用户最长时间地使用他们的服务。在本文中,我们提出了一个电影推荐系统,电影推荐系统的目的是为用户提供准确的电影推荐。通常推荐系统做出推荐基本考虑以下因素之一;用户偏好称为基于内容的过滤,类似用户的偏好称为协同过滤。为了创建一个稳定和准确的推荐系统,将使用基于内容的过滤。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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