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Collaborative filtering (CF) is widely used in e-commerce recommender systems, which helps the online users to identify the right products to purchase. However, CF-based recommender systems suffer poor quality of recommendation due to the sparsity issue. To address this problem, in this paper we propose an adaptive recommendation method based on small-world(More)
  • Huawei Yi
  • 2011 International Conference on E-Business and E…
  • 2011
A new Genetic Algorithm was proposed based on the analysis of the advantages and disadvantages of the Genetic Algorithm and Simulated Annealing Algorithm. The genetic algorithm with optimum reservation strategy was served as the main flow of the new algorithm which combined the mechanism of improved simulated annealing. In order to get the global optimum(More)
The existing collaborative recommendation algorithms have poor robustness against shilling attacks. To address this problem, in this paper we propose a robust recommendation method based on suspicious users measurement and multidimensional trust. Firstly, we establish the relevance vector machine classifier according to the user profile features to identify(More)
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