A Novel Hybrid K-Means PLSA Technique for Music Recommender

We propose a hybrid approach of music recommendation. According to this approach, user will be recommended with the songs searched by the other users similar to the current user on the basis of content and context of the songs listened by the set of similar users. Here we will try to find the similar users on the basis of context using k-means clustering technique and among those users we will find the most frequent or most listened songs on the basis of content using PLSA technique. The proposed hybrid approach is expected to achieve the higher accuracy and efficiency as compared to other approaches for music recommendation