基于社交网络用户信任度的混合推荐算法研究

doi:10.11896/j.issn.1002-137X.2016.01.055

计算机科学 ›› 2016, Vol. 43 ›› Issue (1): 255-258.doi: 10.11896/j.issn.1002-137X.2016.01.055

基于社交网络用户信任度的混合推荐算法研究

文俊浩,何波,胡远鹏

重庆大学软件学院重庆400030,重庆大学软件学院重庆400030,重庆大学软件学院重庆400030

出版日期:2018-12-01 发布日期:2018-12-01
基金资助:
本文受基于异构服务网络分析的Web服务推荐研究(61379158)资助

Hybrid Recommendation Algorithm Based on User’s Trust in Social Networks

WEN Jun-hao, HE Bo and HU Yuan-peng

Online:2018-12-01 Published:2018-12-01

摘要/Abstract

摘要： 为了解决当前社交网络中基于用户信任的Web服务推荐算法存在的覆盖率不足的问题,整合了当前有关直接信任、间接信任及群体信任度的研究思路,对相关的信任度计算方式进行了扩展研究。在此基础上,提出了一种新的混合信任度算法。实验结果表明,在召回率、用户信任度和用户争议度等指标上该混合推荐算法优于现有算法ModelTrust,证明了该算法具有覆盖率较高的特点,能解决由单一信任度算法数据稀疏性造成推荐结果不佳的问题。

关键词: 社交网络,用户信任度,混合推荐算法,ModelTrust

Abstract: In order to solve the problem of insufficient coverage of current social networking Web service recommendation algorithm based on user’ trust,this paper incorporated the research ideas of direct trust,indirect trust and community trust, and did a lot of extended research on the calculation about trust.Based on these work,we proposed a new hybrid trust algorithm.We did a lot of experiments based on recall rate,user trust and user dispute.The experimental result shows that the hybrid algorithm has a good performance on coverage problem.Meanwhile,it can solve the problem that single trust algorithm’s sparse data lead to poor recommendation result.

Key words: Social network,User trust,Hybrid recommendation algorithm,ModelTrust

文俊浩,何波,胡远鹏. 基于社交网络用户信任度的混合推荐算法研究[J]. 计算机科学, 2016, 43(1): 255-258. https://doi.org/10.11896/j.issn.1002-137X.2016.01.055

WEN Jun-hao, HE Bo and HU Yuan-peng. Hybrid Recommendation Algorithm Based on User’s Trust in Social Networks[J]. Computer Science, 2016, 43(1): 255-258. https://doi.org/10.11896/j.issn.1002-137X.2016.01.055

参考文献

[1] Golbeck J A.Computing and Applying Trust in Web-Based Social Networks[D].University of Marylard at College Park,2005
[2] Li X,Liu L.Peer-Trust:Supporting reputation-based trust inpeer-to-peer communities[J].IEEE Trans.on Data and Know-ledge Engineering,Special Issue on Peer-to-Peer Based Data Management,2004,6(7):843-857
[3] Sen S,Vig J,Riedl J.Tagommenders:connecting users to items through tags[C]∥Proceedings of the 18th International Confe-rence on World Wide Web(WWW ’09).New York,NY,USA,2009:671-680
[4] Kurant M,Gjoka M,Butts C T,et al.Walking on a graph with a magnifying glass:stratified sampling via weighted random walks[C]∥Proceedings of the ACM SIGMETRICS Joint InternationalConference on Measurement and Modeling of Computer systems.ACM,2011:281-292
[5] Massa P,Avesani P.Trust metrics in recommender systems[M]∥Computing with social trust.Springer London,2009:259-285
[6] Liang Z Q,Shi W S.Analysis of recommendations on trust infe-rence in open environment[J].Journal of Performance Evaluation,2008,5(2):99-128
[7] Massa P,Avesani P.Controversial users demand local trust metrics:An experimental study on epinions.com community[C]∥Proceedings of the National Conference on artificial Intelligence.AAAI Press,2005:121-126
[8] Bao Jie,Cheng Jiu-jun.Group Trust Algorithm Based on Social Network[J].Computer Science ,2012,39(2):38-41(in Chinese)鲍捷,程久军.基于社交网络的群体信任算法[J].计算机科学,2012,39(2):38-41
[9] Li Xiao-yong,Gui Xiao-lin.Cognitive Model of Dynamic Trust Forecasting[J].Journal of Software,2010,21(1):163-176(in Chinese)李小勇,桂小林.动态信任预测的认知模型[J].软件学报,2010,21(1):163-176
[10] Zhang Feng,Wang Jian,Zhao Yan-fei,et al.Trust Model Based on Groups Recommendation in Social Network[J].Computer Science,2014,41(5):168-172(in Chinese)张丰,王箭,赵燕飞,等.社交网络中一种基于社区推荐的信任模型[J].计算机科学,2014,41(5):168-172

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

基于社交网络用户信任度的混合推荐算法研究

Hybrid Recommendation Algorithm Based on User’s Trust in Social Networks

PDF (PC)

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

Metrics

本文评价

推荐阅读 0