Corpus ID: 18091086

Random Graphs for Performance Evaluation of Recommender Systems

@article{Chojnacki2010RandomGF,
  title={Random Graphs for Performance Evaluation of Recommender Systems},
  author={Szymon Chojnacki and Mieczysław A. Kłopotek},
  journal={ArXiv},
  year={2010},
  volume={abs/1010.5954}
}
  • Szymon Chojnacki, Mieczysław A. Kłopotek
  • Published in ArXiv 2010
  • Mathematics, Computer Science, Physics
  • The purpose of this article is to introduce a new analytical framework dedicated to measuring performance of recommender systems. The standard approach is to assess the quality of a system by means of accuracy related statistics. However, the specificity of the environments in which recommender systems are deployed requires to pay much attention to speed and memory requirements of the algorithms. Unfortunately, it is implausible to assess accurately the complexity of various algorithms with… CONTINUE READING

    Citations

    Publications citing this paper.

    Latency of Neighborhood Based Recommender Systems

    VIEW 2 EXCERPTS
    CITES BACKGROUND

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 18 REFERENCES

    Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights

    VIEW 8 EXCERPTS
    HIGHLY INFLUENTIAL

    Random graphs for bipartite networks modeling

    • S. Chojnacki, M. Klopotek
    • Journal of Control and Cybernetics, 2011. to appear.
    • 2011
    VIEW 7 EXCERPTS
    HIGHLY INFLUENTIAL

    Optimization of tag recommender systems in a real life setting

    VIEW 1 EXCERPT