Noise-Averse Combination Method
Van-Doan Nguyen, Van‐Nam Huynh · 2016
This paper proposes a new method for combining information in recommender systems based on Dempster-Shafer theory. Within this method, focal elements whose probabilities are less than or equal to an infinitesimal threshold are considered as noise that may be caused by the process of fusing information, and then eliminated. Comparing with two baselines, known as 2-points focused and 2-probabilities focused combination methods, the new method is more effective because it does not eliminate focal elements whose probabilities are not very small. Moreover, the new method is tested in a wide range of experiments on MovieLens data set, and the experimental results indicate that the proposed method is much better than the baselines in accuracy of recommendations.