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ABSTRACT

Developments in the marketing literature on recommendation systems are reviewed and an illustration of an Adaptive Personalization System is provided in the context of music. This illustration reveals that Adaptive Personalization Systems have the potential to significantly increase the effectiveness of personal recommendations, and perform better than extant methods.

REFERENCES

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INDEX TERMS

Primary Classification:
  A. General Literature
  A.1 INTRODUCTORY AND SURVEY

Additional Classification:
  H. Information Systems
  H.0 GENERAL

General Terms:
Management

Keywords:
adaptive personalization systems, collaborative filtering, markov chain monte carlo, particle filtering, recommendation systems