Recommendation system implemented by traditional technology relies heavily on user’s historical behavior equivalent data when exploring user interest,meanwhile the user interests exploration process is complex and faces serious cold start problems.In order to reduce the dependence on user information and optimizing the cold start problem,a new recommendation system model was proposed by using the advanced Adam optimization method in the current artificial intelligence.The simulation results on a series of datasets using Tensor flow platform sh...
