Research on a Theatre Recommendation System

Nowadays the recommendation system has been widely used, especially in the field of e-commerce, SNS, music, etc. On the basis of recommendation systems which are widely used, the paper puts forward a theatre recommendation algorithm which is more suitable in the field of theatre. In order to achieve the recommendation of theatre, the paper uses a series of steps, including weight, bipartite graph, data standardization, similarity calculation. After using this algorithm, some theatres will be recommended according to recommendation level. The results of recommendation are more reasonable, effective and satisfied.