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A trust-based probabilistic recommendation model for social networks

机译：基于信任度的社交网络概率推荐模型

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摘要

In social networks, how to establish an effective recommendation model is an important research topic. This paper proposes a trust-based probabilistic recommendation model for social networks. We consider the recommendation attributes of products to determine similarity among users. Then inherent similarity among products is taken into account to derive the transition probability of a target node. In addition, trust of products is obtained based on their reputations and purchase frequencies. In order to solve the problem of users' cold start, we consider users' latent factor to find their latent similar users. Finally, we adopt the Amazon product co-purchasing network metadata to verify the effectiveness of the proposed recommendation model through comprehensive experiments. Furthermore, we analyze the impact of the transition probability influence factor through experiments. The experimental results show that the proposed recommendation model is effective and has a higher accuracy. (C) 2015 Elsevier Ltd. All rights reserved.
机译：在社交网络中，如何建立有效的推荐模型是一个重要的研究课题。本文提出了一种基于信任的社交网络概率推荐模型。我们考虑产品的推荐属性以确定用户之间的相似性。然后考虑乘积之间的固有相似性，以得出目标节点的转移概率。另外，基于产品的声誉和购买频率来获得产品的信任。为了解决用户冷启动的问题，我们考虑用户的潜在因素来寻找其潜在的相似用户。最后，我们采用亚马逊产品共同购买网络元数据，通过综合实验来验证所提出的推荐模型的有效性。此外，我们通过实验分析了转移概率影响因素的影响。实验结果表明，所提出的推荐模型是有效的，具有较高的准确性。 （C）2015 Elsevier Ltd.保留所有权利。

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  • 来源
  • 作者

    Wang Yingjie; Yin Guisheng; Cai Zhipeng; Dong Yuxin; Dong Hongbin;

  • 作者单位

    Harbin Engn Univ, Coll Comp Sci & Technol, Harbin 150001, Heilongjiang, Peoples R China|Yantai Univ, Sch Comp & Control Engn, Yantai 264005, Shandong, Peoples R China|Georgia State Univ, Dept Comp Sci, Atlanta, GA 30303 USA;

    Harbin Engn Univ, Coll Comp Sci & Technol, Harbin 150001, Heilongjiang, Peoples R China;

    Harbin Engn Univ, Coll Comp Sci & Technol, Harbin 150001, Heilongjiang, Peoples R China|Georgia State Univ, Dept Comp Sci, Atlanta, GA 30303 USA;

    Harbin Engn Univ, Coll Comp Sci & Technol, Harbin 150001, Heilongjiang, Peoples R China;

    Harbin Engn Univ, Coll Comp Sci & Technol, Harbin 150001, Heilongjiang, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Social networks; Recommendation; Transition probability; Trust; Latent factor;

    机译：社交网络;推荐;过渡概率;信任;潜在因素;

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