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Recommender systems, software programs that learn from human behavior and make predictions of what products we are expected to appreciate and purchase, have become an integral part of our everyday life. They proliferate across electronic commerce around the globe and exist for virtually all sorts of consumable goods, such as books, movies, music, or clothes.

At the same time, a new evolution on the Web has started to take shape, commonly known as the "Web 2.0" or the "Social Web": Co ...

DETAILS

  • Social Web Artifacts for Boosting Recommenders
  • Theory and Implementation
  • Ziegler, Cai-Nicolas
  • Gebunden, xix, 187 S.
  • XIX, 187 p.
  • Sprache: Englisch
  • 235 mm
  • ISBN-13: 978-3-319-00526-3
  • Titelnr.: 38358024
  • Gewicht: 450 g
  • Springer, Berlin (2013)
  • Herstelleradresse

    Springer Heidelberg

    Tiergartenstr. 17

    69121 - DE Heidelberg

    E-Mail: buchhandel-buch@springer.com

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