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Music recommendation and discovery : the long tail, long fail, and long play in the digital music space

Music recommendation and discovery : the long tail, long fail, and long play in the digital music space (Loan 1 times)

Material type
단행본
Personal Author
Celma, Oscar.
Title Statement
Music recommendation and discovery : the long tail, long fail, and long play in the digital music space / Oscar Celma.
Publication, Distribution, etc
Berlin ;   Heidelberg :   Springer,   c2010.  
Physical Medium
xvi, 194 p. : ill. ; 25 cm.
ISBN
9783642132872 3642132871
요약
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 Similarly, record stores have been replaced by big box retailers that have ever--shrinking music departments.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.
Content Notes
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.
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Recommender systems (Information filtering) Music -- Data processing. Human-computer interaction. Music and the Internet.
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001 000045691462
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008 120216s2010 gw a b 001 0 eng d
020 ▼a 9783642132872
020 ▼a 3642132871
035 ▼a (OCoLC)676697658
037 ▼a 978-3-642-13286-5 ▼b Springer ▼n http://www.springerlink.com
040 ▼a GW5XE ▼b eng ▼c GW5XE ▼d VLB ▼d EBLCP ▼d YDXCP ▼d OCLCQ ▼d MHW ▼d OCLCQ ▼d KUB ▼d 211009
049 ▼a KUBA
050 4 ▼a QA76.9.I58 ▼b C45 2010
082 0 4 ▼a 004.019 ▼2 22
084 ▼a 004.019 ▼2 DDCK
090 ▼a 004.019 ▼b C393m
100 1 ▼a Celma, Oscar.
245 1 0 ▼a Music recommendation and discovery : ▼b the long tail, long fail, and long play in the digital music space / ▼c Oscar Celma.
260 ▼a Berlin ; ▼a Heidelberg : ▼b Springer, ▼c c2010.
300 ▼a xvi, 194 p. : ▼b ill. ; ▼c 25 cm.
504 ▼a Includes bibliographical references and index.
505 0 ▼a 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.
520 ▼a 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, record stores 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.
650 0 ▼a Recommender systems (Information filtering)
650 0 ▼a Music ▼x Data processing.
650 0 ▼a Human-computer interaction.
650 0 ▼a Music and the Internet.
945 ▼a KLPA

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 004.019 C393m Accession No. 121217294 Availability Available Due Date Make a Reservation Service B M

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