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Social Recommendation Model Regularized with User Trust and Item Ratings

2017 International Journal of Science and Research (IJSR)  
Based on the above observations, we propose to learn a trust aware personalized ranking method with multi-faceted trust relations for implicit feedback.  ...  Social trust aware recommender systems have been well studied in recent years.  ...  However, in real-world social networks, trust is multi-faceted, that is, a user places different trusts in different categories.  ... 
doi:10.21275/art20174948 fatcat:ka3dkzhq2rfmfbqgwolz64vwnq

A Compositional Model of Multi-faceted Trust for Personalized Item Recommendation

Liliana Ardissono, Noemi Mauro
2019 Expert systems with applications  
trust-based recommender system with multi-faceted trust and trust-based social regularization.  ...  Trust-based recommender systems improve rating prediction with respect to Collaborative Filtering by leveraging the additional information provided by a trust network among users to deal with the cold  ...  We thus conclude that multi-faceted trust enhances recommendation performance in trust-based recommenders and it makes them more flexible with respect to the types of information that can be used in a  ... 
doi:10.1016/j.eswa.2019.112880 fatcat:2omtafzklna6xeehqsfx355ngy

Multi-faceted Trust-based Collaborative Filtering

Noemi Mauro, Liliana Ardissono, Zhongli Filippo Hu
2019 Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization - UMAP '19  
For this purpose, we propose a multi-faceted trust model to integrate local trust, represented by social links, with various types of global trust evidence provided by social networks.  ...  The lesson we learn is that multi-faceted trust can be a valuable type of information for recommendation.  ...  For this purpose, we propose a multi-faceted trust model that integrates local trust with global reputation evidence available in social networks and e-commerce sites.  ... 
doi:10.1145/3320435.3320441 dblp:conf/um/MauroAH19 fatcat:nqs3yqkfijaffdkn3kaqc2sedq

Hybrid Multi-faceted Computational Trust Model for Online Social Network (OSN)

Manmeet Mahinderjit, Teo Yi
2016 International Journal of Advanced Computer Science and Applications  
Online Social Network (OSN) is an online social platform that enables people to exchange information, get in touch with family members or friends, and also helps as a marketing tool.  ...  Next, the multi-faceted model trust is combined with an existing Actionbased model and Context recommender.  ...  Proposed Trust Prototype with Enhanced Multi-Facet Trust with Context Recommender Mathematical Model [EMF -CRMM] With influences from multi-faceted trust model and ranked weights trust attributes in the  ... 
doi:10.14569/ijacsa.2016.070601 fatcat:eit25ygusza55ji5sgja6uhbqu

Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management [article]

Alexandre Parmentier, Robin Cohen, Xueguang Ma, Gaurav Sahu, Queenie Chen
2021 arXiv   pre-print
In particular, we propose a data-driven multi-faceted trust modeling which incorporates many distinct features for a comprehensive analysis.  ...  Illustrated in a trust-aware item recommendation task, we evaluate the proposed framework in the context of a large Yelp dataset.  ...  Acknowledgements We are grateful to the reviewers for their valuable feedback on an earlier version of this paper.  ... 
arXiv:2111.06440v1 fatcat:cgheigrqmjf2rl6n5ly5yudywm

Personalized Prediction of Trust Links in Social Networks (Student Abstract)

Alexandre Parmentier, Robin Cohen
In this paper we show how integrating both domain specific and generic trust indicators into a prediction of trust links between users in social networks can improve upon methods for recommending content  ...  to users and how clustering of users to deliver personalized solutions offers even greater advantages.  ...  Introduction This work introduces the concept of Personalized Multi-Faceted Trust Modeling (PMFTM) to predict trust links between members of a social network.  ... 
doi:10.1609/aaai.v34i10.7218 fatcat:7lxutssm7zcslnyqnthcbijl2i

A multi-theoretical kernel-based approach to social network-based recommendation

Xin Li, Mengyue Wang, T.-P. Liang
2014 Decision Support Systems  
In light of the social network theories on the formation of a social network and its impact on human behavior, we present a multi-theoretical framework to model multiple facets of social relations for  ...  This study investigates the recommendation problem based on social network information.  ...  Background Social Network-based Recommendation In social network-based recommendation, the dominant approach is to assess interpersonal influence through social trust: if one person trusts another, he  ... 
doi:10.1016/j.dss.2014.05.006 fatcat:min5d3zdrjavpbrbsgdjhddxwi

dTrust: A Simple Deep Learning Approach for Social Recommendation

Quang-Vinh Dang, Claudia-Lavinia Ignat
2017 2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC)  
approach for social recommendation Quang-Vinh Dang, Claudia-Lavinia Ignat To cite this version: Quang-Vinh Dang, Claudia-Lavinia Ignat. dTrust: a simple deep learning approach for social recommendation  ...  It relies uniquely on the topology of an anonymized trust-useritem network that combines user trust relations with user rating scores. This topology is fed into a deep feed-forward neural network.  ...  This multi-faceted trust was used to predict trust relationships and item-rating in trust-based recommender systems such as Epinions and Ciao.  ... 
doi:10.1109/cic.2017.00036 dblp:conf/coinco/DangI17 fatcat:rkw7lyewv5fuhneryrvgibwoyi


Jiliang Tang, Huiji Gao, Huan Liu
2012 Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12  
Due to the presence of a large trust network for an online user, it is necessary to discern multi-faceted trust as there are naturally experts of different types.  ...  However, trust, as a social concept, inherently has many facets indicating multiple and heterogeneous trust relationships between users.  ...  Acknowledgments The work is, in part, supported by ARO (#025071) and NSF (#0812551).  ... 
doi:10.1145/2124295.2124309 dblp:conf/wsdm/TangGL12 fatcat:lv4h6f4hszerhk2dfqttwdpjty

Multi-faceted trust and distrust prediction for recommender systems

Hui Fang, Guibing Guo, Jie Zhang
2015 Decision Support Systems  
However, in social science, trust is known as a complex term with multiple facets, which have not been well exploited in prior recommender systems.  ...  trust networks.  ...  However, it is well acknowledged in social science that trust is a concept with multi-faceted properties [19, 21, 20] .  ... 
doi:10.1016/j.dss.2015.01.005 fatcat:zqtkarjadjfv7l7qkkcdzikwau

Synthesis of Collective Tag-Based Opinions in the Social Web [chapter]

Federica Cena, Silvia Likavec, Ilaria Lombardi, Claudia Picardi
2011 Lecture Notes in Computer Science  
If the social tool provides user modeling and trust mechanisms, our synthesis can also be personalized, taking into account both the user's social network (considering only the opinions of trusted authors  ...  This paper presents an approach to personalized synthesis of tagbased users' opinions in a social context.  ...  . official experts or trusted people in her social network) .  ... 
doi:10.1007/978-3-642-23954-0_27 fatcat:5bfkj622hjclrlpy5zp4g4uxui

Recommending Services in a Trust-Based Decentralized User Modeling System [chapter]

Sabrina Nusrat, Julita Vassileva
2012 Lecture Notes in Computer Science  
Trust and reputation mechanisms are often used in peer-to-peer networks, multi-agent systems and online communities for trust-based interactions among the users.  ...  In this paper, we use a multi-faceted trust model where each user has two sets of trust values: i) trust on different aspects of the quality of service providers, ii) trust on recommendations provided  ...  Someone you trust as a doctor may be bad in driving, so you do not trust him as a driver. Trust is also multi-faceted, it has many aspects.  ... 
doi:10.1007/978-3-642-28509-7_22 fatcat:eypt5sxebfhbtf5fchf7jujevy

Adaptive recommendations to foster social media skills in teaching and learning scenarios

Christina Di Valentin, Andreas Emrich, Johannes Lahann, Michael Schmidt, Uta Schwertel, Dirk Werth, Peter Loos
2014 Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business - i-KNOW '14  
in the social web.  ...  The system adapts to the social media skills of all stakeholders and recommends appropriate online resources.  ...  [3] present a trust-based recommender system for teachers. It describes how teachers can take advantage of learning networks as an infrastructure to support lifelong learning.  ... 
doi:10.1145/2637748.2638434 dblp:conf/iknow/ValentinELSSWL14 fatcat:5imgvs7u7bfklbpucimxulkcb4

Constructing Negative Links from Multi-facet of Social Media

2017 KSII Transactions on Internet and Information Systems  
Experiments are performed on real-world data and results show that negative links is predictable with multi-facet of social media data by the proposed framework CsNL.  ...  Apparently, the negative link is invisible in these social network. Or in other word, the negative links are redundant to positive links.  ...  In this paper, a new framework of CsNL is proposed which takes multi-facet of social media data in to consideration to construct negative links.  ... 
doi:10.3837/tiis.2017.05.010 fatcat:3khu2ysz2ffwrp7qsgurhetgou

Understanding the Trustworthiness Management in the Social Internet of Things: A Survey [article]

Subhash Sagar and Adnan Mahmood and Quan Z. Sheng and Jitander Kumar Pabani and Wei Emma Zhang
2022 arXiv   pre-print
The next generation of the Internet of Things (IoT) facilitates the integration of the notion of social networking into smart objects (i.e., things) in a bid to establish the social network of interconnected  ...  These social objects are capable of establishing social relationships with the other objects in the network and can utilize these relationships for service discovery.  ...  Metrics Machine Learning-based Event-Driven Multi-Trust Centralised Threshold-based NA [131] Social Metrics Machine Learning-based Event-Driven Multi-Trust Distributed Threshold-based SPA, BMA, BSA, DA  ... 
arXiv:2202.03624v2 fatcat:g64bzqgjrzfxfbjcrous7qn4ue
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