A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce

@article{Huang2007ACO,
  title={A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce},
  author={Zan Huang and Daniel Dajun Zeng and Hsinchun Chen},
  journal={IEEE Intelligent Systems},
  year={2007},
  volume={22}
}
Collaborative filtering is one of the most widely adopted and successful recommendation approaches. Unlike approaches based on intrinsic consumer and product characteristics, CF characterizes consumers and products implicitly by their previous interactions. The simplest example is to recommend the most popular products to all consumers. Researchers are advancing CF technologies in such areas as algorithm design, human- computer interaction design, consumer incentive analysis, and privacy… CONTINUE READING
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