Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation

@inproceedings{Sharma2015FeaturebasedFB,
  title={Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation},
  author={Mohit Sharma and Jiayu Zhou and Junling Hu and George Karypis},
  booktitle={SDM},
  year={2015}
}
Recommending new items to existing users has remained a challenging problem due to absence of user’s past preferences for these items. The user personalized non-collaborative methods based on item features can be used to address this item cold-start problem. These methods rely on similarities between the target item and user’s previous preferred items. While computing similarities based on item features, these methods overlook the interactions among the features of the items and consider them… CONTINUE READING
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