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Social Recommendation Model Regularized with User Trust and Item Ratings
2017
International Journal of Science and Research (IJSR)
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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
2019
Expert systems with applications
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2019 pre-print arXiv:1909.01601v1 fatcat:7riehodqjzbvbgpqysi2suc5aa
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
2019
Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization - UMAP '19
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2020 pre-print arXiv:2003.11445v1 fatcat:o3ozu6mlc5ao7nnn5x27w7pome
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)
2016
International Journal of Advanced Computer Science and Applications
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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]
2021
arXiv
pre-print
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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)
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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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
2014
Decision Support Systems
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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
2017
2017 IEEE 3rd International Conference on Collaboration and Internet Computing (CIC)
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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
mTrust
2012
Proceedings of the fifth ACM international conference on Web search and data mining - WSDM '12
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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
2015
Decision Support Systems
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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]
2011
Lecture Notes in Computer Science
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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]
2012
Lecture Notes in Computer Science
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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
2014
Proceedings of the 14th International Conference on Knowledge Technologies and Data-driven Business - i-KNOW '14
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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
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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]
2022
arXiv
pre-print
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2022 pre-print arXiv:2202.03624v1 fatcat:7d2x7gqcrbepfoclg63ln75ujq
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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