In this paper, we propose a novel reputation model to generate more accurate reputation scores for items using any dataset; whether it is dense or sparse. Our ...
In this paper, we propose a novel reputation model to generate more accurate reputation scores for items using any dataset; whether it is dense or sparse. Our ...
Abstract. Rating systems are used by many websites, which allow cus- tomers to rate available items according to their own experience. Sub-.
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A Normal-Distribution Based Reputation Model. 145. One of the challenges that face any reputation model is its ability to work with different datasets, sparse ...
Mar 3, 2024 · In this paper, we propose a novel reputation model to generate more accurate reputation scores for items using any dataset; whether it is dense ...
Our proposed model is described as a weighted average method, where the weights are generated using the normal distribution. Experiments show promising results ...
In this paper, we propose a novel reputation model, which generates more accurate reputation scores for items by deploying the normal distribution over ratings.
Bibliographic details on A Normal-Distribution Based Reputation Model.
... In the same direction, Rezvani et al. [1] proposed a new method to detect unfair rating using randomized algorithm. On the other hand, Abdel-Hafez et al. [4] ...
Article "A Normal-Distribution Based Reputation Model" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and ...