Combining Collaborative Filtering and Clustering for Implicit Recommender System

@article{RenaudDeputter2013CombiningCF,
  title={Combining Collaborative Filtering and Clustering for Implicit Recommender System},
  author={Simon Renaud-Deputter and Tengke Xiong and Shengrui Wang},
  journal={2013 IEEE 27th International Conference on Advanced Information Networking and Applications (AINA)},
  year={2013},
  pages={748-755}
}
Recommender systems are becoming a widespread technology used to promote cross-selling. Collaborative filtering is one of the main paradigms employed to offer recommendations to users. However, while most collaborative filtering methods require explicit user feedback, such as ratings, it is a well-established fact that users rate only a small portion of all available products. Subsequently, the rating system often acquires insufficient explicit feedback, thus leading to unsatisfactory… CONTINUE READING

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