Effective association clusters filtering to cold-start recommendations

@article{Huang2010EffectiveAC,
  title={Effective association clusters filtering to cold-start recommendations},
  author={Chuangguang Huang and Jian Yin},
  journal={2010 Seventh International Conference on Fuzzy Systems and Knowledge Discovery},
  year={2010},
  volume={5},
  pages={2461-2464}
}
In this paper, we focus on how to overcome cold-start problem in the traditional research of recommendations system(RS). The popular technique of RS is collaborative filtering(CF). While in real online RS, CF can't practically solve cold-start problem for the sparsity ratings dataset. In this paper, we propose a novel efficiently association clusters filtering(ACF) algorithm. Considering hybrid approaches, using clustering and also filtering to relieve cold-start problem. ACF algorithm… CONTINUE READING
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