Personalized collaborative clustering

@inproceedings{Yue2014PersonalizedCC,
  title={Personalized collaborative clustering},
  author={Yisong Yue and Chong Wang and Khalid El-Arini and Carlos Guestrin},
  booktitle={WWW},
  year={2014}
}
We study the problem of learning personalized user models from rich user interactions. In particular, we focus on learning from clustering feedback (i.e., grouping recommended items into clusters), which enables users to express similarity or redundancy between different items. We propose and study a new machine learning problem for personalization, which we call collaborative clustering. Analogous to collaborative filtering, in collaborative clustering the goal is to leverage how existing… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-6 of 6 references

Crowdclustering

  • R. Gomes, P. Welinder, A. Krause, P. Perona
  • Neural Information Processing Systems (NIPS),
  • 2011
Highly Influential
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