Informed Recommender: Basing Recommendations on Consumer Product Reviews

@article{Aciar2007InformedRB,
  title={Informed Recommender: Basing Recommendations on Consumer Product Reviews},
  author={Silvana Aciar and Debbie Zhang and Simeon J. Simoff and John K. Debenham},
  journal={IEEE Intelligent Systems},
  year={2007},
  volume={22}
}
Recommender systems attempt to predict items in which a user might be interested, given some information about the user's and items' profiles. Most existing recommender systems use content-based or collaborative filtering methods or hybrid methods that combine both techniques (see the sidebar for more details). We created Informed Recommender to address the problem of using consumer opinion about products, expressed online in free-form text, to generate product recommendations. Informed… CONTINUE READING
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