Movie Recommendation System Using Convolution Neural Network

ISBN-13: 9786206166894 / Angielski / Miękka / 60 str.

Jyoti Kumari; Sanjiv Sharma; Pradeep Yadav

Opis

Web-based recommendation strategies, known as RS, have become increasingly relevant and widely utilized due to the vast amount of information available online. The demand for personalized and filtered systems continues to grow as a result. Recommendation systems serve as information filtering schemes that address the problem of information overload by extracting crucial insights from immense and continuously generated data. They predict user ratings or preferences for items, aiding in decision-making. This work explores various recommendation systems and algorithms applied specifically to movie recommendations.

O autorze

Ms. Jyoti Kumari working as an assistant professor at ITM Gwalior. She has published many research papers in reputed conferences and journals. Her research area is in machine learning and data science. Mentoring UG students in research projects related to machine learning.