• Riyazahemed Jamadar
• Vishal Kore
• Ganesh Nage
• Kiran Alhat
• Ankita Kute

Recommender systems are used widely to recommend personalised products and services to customers. With recent development in Deep Learning, fields like Computer Vision, Natural Language Processing and Speech Recognition etc have shown great performance improvement. Use of Deep Learning in recommender systems also are showing great promises. In this paper we implemented collaborative filtering recommender systems based on Deep Neural Network. We make use of embedding layers to deal with sparse categorical variables. Results of our algorithm are comparable to state of art recommender system algorithms.

Recommendation Systems, Collaborative Filtering, Deep Learning, Movie Recommendation

"Movie Rating Prediction Using Deep Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.262-266, May-2019, Available :http://www.jetir.org/papers/JETIR1905L36.pdf

"Movie Rating Prediction Using Deep Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp262-266, May-2019, Available at : http://www.jetir.org/papers/JETIR1905L36.pdf