Foreword; Preface; Acknowledgements; Contents; 1 Introduction; 2 The Recommendation Problem; 3 Music Recommendation; 4 The Long Tail in Recommender Systems; 5 Evaluation Metrics; 6 Network-Centric Evaluation; 7 User-Centric Evaluation; 8 Applications; 9 Conclusions and Further Research; Index
Summary
While the amount of new music has grown, some of the traditional ways of finding music have diminished. Thirty years ago, the local radio DJ was a music tastemaker, finding new and interesting music for the local radio audience. Now radio shows are programmed by large corporations that create playlists drawn from a limited pool of tracks. Similarly, recordstores have been replaced by big box retailers that have ever--shrinking music departments. In the past, you could always ask the owner of the record store for music recommendations. You would learn what was new, what was good and what was s
