Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection

@inproceedings{Chen2017TopNRW,
  title={Top-N Recommendation with High-Dimensional Side Information via Locality Preserving Projection},
  author={Yifan Chen and Xiang Zhao and Maarten de Rijke},
  booktitle={SIGIR},
  year={2017}
}
In this paper, we leverage high-dimensional side information to enhance top-N recommendations. To reduce the impact of the curse of high dimensionality, we incorporate a dimensionality reduction method, Locality Preserving Projection (LPP), into the recommendation model. A joint learning model is proposed to achieve the task of dimensionality reduction and… CONTINUE READING