Movie Recommendation System Using Item Based Collaborative Filtering
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2020, Vol 8, Issue 4
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.
Authors and Affiliations
Poonam Sharma, Lokesh Yadav
Keywords
Related Articles
- EP ID EP747636
- DOI 10.21276/ijircst.2020.8.4.2
- Views 34
- Downloads 0
Lawn Mower - An Automated Machine
Robotics is a branch of engineering that combines more than one area of research and is used to design machines that helps us to assist in our day- to-day life. There are various inventions existing that are created usin...
A Review of AI in Breast Cancer Detection
Cancer stands out as one of the most pressing global health challenges, and over the past decade, significant advancements have been made in diagnostic tests and methodologies. These tests fall into categories such as im...
Enhanced Churn Prediction in the Telecommunication Industry
Prediction models are usually built by applying a supervised learning algorithm to historical data. This involves the use of data analytics system that uses real-time integration and dynamic real time responses data to d...
Urgent Data Transmission in Wireless Sensor Network
Paper wireless sensor networks is a growing class of highly dynamic, complex network environment on top of which a wide range of applications, such as habitat monitoring, object tracking, precision agriculture, building...
NLP for Intelligent Conversational Assistance
Context-specific signals were often used as extra supportive measures secondary kinds of evidence to aid interpret its user's language inputs in the early days of Natural Languages Processing (NLP). The context was emplo...