Online personalized audio therapy recommender based on community ratings

This paper presents an online system that promotes audio therapy for tuning users´ mental states to different modes. By using this system, users may tune and listen to meditative audios to get the calming effects to relieve stress, listening to energizing audios when feeling lethargic in the morning and listening to enlightening audios to help in learning. Being a first timer to use such system, a new user may need assistance in choosing a suitable and effective audio in getting the desired outcome. One way in offering such assistance is to deploy a recommendation platform, where ratings from other users of the system; (especially friends of the user) are counted and adopted as the basis for recommendations. The novelty of this system lies in the mechanism for constructing and personalizing the recommendations on suitable therapy audios for a particular user.