VenueMusic
Zhiyong Cheng, Jialie Shen · 2015
Users' music preferences can be greatly influenced by their location and environment nearby. In this demonstration, we present an intelligent music recommender system, called VenueMusic, to automatically identify suitable music for various popular venues in our daily lives. VenueMusic enjoys a set of nice features: i) music concept sequence generation scheme and Location-aware Topic Model (LTM) are proposed to map the characteristics of venues and music into a latent semantic space, where suitability of music for a venue can be directly measured, ii) a smart interface enabling user to smoothly interact with VenueMusic, and iii) high quality music playlist. The demonstration will show several interesting use-cases of VenueMusic, and illustrate its superiority on recommending music based on where user presents.