Movie recommendation system using mlInternship.pptx

MOVIE RECOMMENDATION SYSTEM

1. Movie Recommendation System Presented by: Dayanand M adhukeshav N agaraj Shrishail Ravikiran Under the Guidance of: Dr.Sharanbasappa S (H.O.D Of ECE Dept.)

2. Problem Statement. Introduction. Objective. Project Requirements. Design & Diagram. Results. Conclusion. References. Table Of Content

3. Hardware Requirements A PC with Windows/Linux OS Minimum of 8gb RAM 2gb Graphic card Software Requirements Text Editor ( VS-code) Streamlit Dataset Python libraries PROJECT REQUIREMENTS

4. To build recommendation system there are many approach that can be used to beuild good recommendation system Content based recommendation system and collaborative filtering.Youtube also used content based recommended system, we also used content based recommendation system in our project and cosine similarity algorithm . Cosine Similarity Cosine similarity is used as a metric in different machine learning algorithms like the KNN for determining the distance between the neighbors , in recommendation systems, it is used to recommend movies with the same similarities and for textual data, it is used to find the similarity of texts in the document . For webhosting we use Streamlit Streamlit is a promising open-source Python library, which enables developers to build attractive user interfaces in no time. Streamlit is the easiest way especially for people with no front-end knowledge to put their code into a web application: No front-end (html, js , css ) experience or knowledge is required Approach Used

5. Provides relevant content to user . It saves time and money . It increases customer engagement . Specially designed for binge watchers Key Benefits

6. The proposed systems to improve the accuracy, quality and scalability of movie recommendation system . The Proposed system will recommends good movies according to user's choice . Bring interests and make users happy . The Proposed system is user friendly and customer friendly. CONCLUSION

7. 1. Hirdesh Shivhare , Anshul Gupta and Shalki Sharma (2015), IEEE International Conference on Computer, Communication and Control. 2. Manoj Kumar, D.K. Yadav , Ankur Singh and Vijay Kr. Gupta (2015), " A Movie Recommender System: MOVREC ", International Journal of Computer Applications (0975-8887) Volume 124-No.3.3. 3. Debadrita Roy, Arnab Kundu , (2013), International Journal of Emerging Technology and Advanced Engineering, Volume 3, Issue 4. REFERENCES