Comparing Recommendation Strategies in a Commercial Context

@article{Zanker2007ComparingRS,
  title={Comparing Recommendation Strategies in a Commercial Context},
  author={Markus Zanker and Markus Jessenitschnig and Dietmar Jannach and Sergiu Gordea},
  journal={IEEE Intelligent Systems},
  year={2007},
  volume={22}
}
From an industrial perspective, recommender systems constitute the base technology for providing interactivity and personalization in electronic business-to-consumer marketplaces. Robin Burke distinguishes between five different recommendation techniques: collaborative, content based, utility based, demographic, and knowledge based. 
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