Prediction uncertainty in collaborative filtering: Enhancing personalized online product ranking

@article{Zhang2016PredictionUI,
  title={Prediction uncertainty in collaborative filtering: Enhancing personalized online product ranking},
  author={Mingyue Zhang and Xunhua Guo and Guoqing Chen},
  journal={Decision Support Systems},
  year={2016},
  volume={83},
  pages={10-21}
}
Personalized product ranking provides support to the decision making of online consumers and helps improve their satisfaction, since consumers always face a large volume of choices when they are shopping online. Recommender systems with collaborative filtering techniques are commonly used for this purpose, wherein products are ranked according to their predicted ratings. However, this kind of ranking approaches (namely, Ranking by Collaborative Filtering, RCF for short) have generally ignored… CONTINUE READING

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