Smart Recommender System using Deep Learning

Deep neural system has been succeeded in solving recent complex problems in AI, image processing, and natural language processing. In recommendation system innovation, deep learning is an enormous thing. Deep learning is applicable in various systems like music recommendation, speech recognition, book suggestion, and video on demand. Deep learning solves complex relations so many researchers use the deep neural network in their task. Most of the time task requires complex computation. Two models are proposed in the system. The movie lens dataset is used for the recommendation system. With the help of user and item, authors find a relation between them. Current and past historical data collaborative filtering is done. Two deep learning models are used. These models are a complement to each other. Models learn from training the data. The predicted rating is more accurate than the existing method.