Hybrid Recommender Systems: Survey and Experiments

@article{Burke2002HybridRS,
  title={Hybrid Recommender Systems: Survey and Experiments},
  author={Robin D. Burke},
  journal={User Modeling and User-Adapted Interaction},
  year={2002},
  volume={12},
  pages={331-370}
}
Recommender systems represent user preferences for the purpose of suggesting items to purchase or examine. They have become fundamental applications in electronic commerce and information access, providing suggestions that effectively prune large information spaces so that users are directed toward those items that best meet their needs and preferences. A variety of techniques have been proposed for performing recommendation, including content-based, collaborative, knowledge-based and other… CONTINUE READING

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