A trust-aware recommendation method based on Pareto dominance and confidence concepts
A trust-aware recommendation method based on Pareto dominance and confidence concepts
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DOI：
10.1016/j.knosys.2016.10.025
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发表时间：
2017-01-15
影响因子：
8.8
通讯作者：
Jalili, Mahdi
中科院分区：
文献类型：
--
作者：
Azadjalal, Mohammad Mandi;Moradi, Parham;Jalili, Mahdi
推荐系统广泛用于为电子商务用户提供合适的商品。协作过滤是最成功的推荐方法之一，它根据给定用户志同道合的邻居的意见向其推荐项目。然而，用作推荐算法输入的用户-项目评分矩阵通常是高度稀疏的，导致预测不可靠。最近的研究表明，来自社交网络的信息（例如信任声明）可用于提高推荐的准确性。然而，在许多电子商务应用中，大多数用户之间并不存在明确的信任关系。在本手稿中，我们提出了一种通过应用特定可靠性度量来识别隐式信任声明的方法。帕累托优势和置信度概念用于识别在推荐过程中采用其意见的最著名用户。与最先进的推荐器相比，所提出的推荐算法在准确性和覆盖率方面显示出显着的改进。 (C) 2016 Elsevier B.V. 保留所有权利。
Recommender systems are widely used to provide e-commerce users appropriate items. Collaborative filtering is one of the most successful recommender approaches which recommends items to a given user based on the opinions of his/her like-minded neighbors. However, the user-item ratings matrix, which is used as an input to the recommendation algorithm, is often highly sparse, leading to unreliable predictions. Recent studies demonstrated that information from social networks such as trust statements can be employed to improve accuracy of recommendations. However, there are not explicit trust relationships between most of users in many e-commerce applications. In this manuscript, we propose a method to identify implicit trust statements by applying a specific reliability measure. The Pareto dominance and confidence concepts are used to identify the most prominent users of which opinions are employed in the recommendation process. The proposed recommendation algorithm shows significant improvements in terms of accuracy and coverage measures as compared to the state-of-the-art recommenders. (C) 2016 Elsevier B.V. All rights reserved.