A dynamic multi-level collaborative filtering method for improved recommendations

@article{Polatidis2017ADM,
  title={A dynamic multi-level collaborative filtering method for improved recommendations},
  author={Nikolaos Polatidis and Christos K. Georgiadis},
  journal={Computer Standards & Interfaces},
  year={2017},
  volume={51},
  pages={14-21}
}
One of the most used approaches for providing recommendations in various online environments such as e-commerce is collaborative filtering. Although, this is a simple method for recommending items or services, accuracy and quality problems still exist. Thus, we propose a method that is based on positive and negative adjustments with its main purpose to improve the quality of the recommendations provided. The proposed method can be used in different domains that use collaborative filtering to… CONTINUE READING
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